> ## Documentation Index
> Fetch the complete documentation index at: https://prices.voicegateway.dev/llms.txt
> Use this file to discover all available pages before exploring further.
# OpenRouter LLM pricing
> 461 LLM model(s) from OpenRouter, with input and output token rates.
Priced from `input_mtok` and `output_mtok`, US dollars per 1,000,000 tokens. Source of truth: [`prices/providers/openrouter.yml`](https://github.com/mahimailabs/voice-prices/blob/main/prices/providers/openrouter.yml).
| Model | Name | Input \$ / Mtok | Output \$ / Mtok | Cached input \$ / Mtok | Context |
| ----------------------------------------------- | -------------------------------------------- | --------------: | ---------------: | ---------------------: | --------: |
| `01-ai/yi-large` | 01-ai/yi-large | \$3 | \$3 | - | - |
| `aetherwiing/mn-starcannon-12b` | aetherwiing/mn-starcannon-12b | \$0.8 | \$1.2 | - | - |
| `ai21/jamba-1-5-large` | ai21/jamba-1-5-large | \$2 | \$8 | - | - |
| `ai21/jamba-1-5-mini` | ai21/jamba-1-5-mini | \$0.2 | \$0.4 | - | - |
| `ai21/jamba-1.6-large` | ai21/jamba-1.6-large | \$2 | \$8 | - | - |
| `ai21/jamba-1.6-mini` | ai21/jamba-1.6-mini | \$0.2 | \$0.4 | - | - |
| `ai21/jamba-instruct` | ai21/jamba-instruct | \$0.5 | \$0.7 | - | - |
| `aion-1.0` | Aion-1.0 | \$4 | \$8 | - | - |
| `aion-1.0-mini` | Aion-1.0-Mini | \$0.7 | \$1.4 | - | - |
| `aion-labs/aion-1.0` | aion-labs/aion-1.0 | \$4 | \$8 | - | - |
| `aion-labs/aion-1.0-mini` | aion-labs/aion-1.0-mini | \$0.7 | \$1.4 | - | - |
| `aion-labs/aion-rp-llama-3.1-8b` | aion-labs/aion-rp-llama-3.1-8b | \$0.2 | \$0.2 | - | - |
| `aion-rp-llama-3.1-8b` | Aion-RP 1.0 (8B) | \$0.2 | \$0.2 | - | - |
| `alfredpros/codellama-7b-instruct-solidity` | alfredpros/codellama-7b-instruct-solidity | \$0.8 | \$1.2 | - | - |
| `all-hands/openhands-lm-32b-v0.1` | all-hands/openhands-lm-32b-v0.1 | \$2.6 | \$3.4 | - | - |
| `alpindale/goliath-120b` | alpindale/goliath-120b | \$6.5625 | \$9.375 | - | - |
| `alpindale/magnum-72b` | alpindale/magnum-72b | \$1.5 | \$2.25 | - | - |
| `amazon/nova-lite-v1` | amazon/nova-lite-v1 | \$0.06 | \$0.24 | - | - |
| `amazon/nova-micro-v1` | amazon/nova-micro-v1 | \$0.035 | \$0.14 | - | - |
| `amazon/nova-pro-v1` | amazon/nova-pro-v1 | \$0.8 | \$3.2 | - | - |
| `anthracite-org/magnum-v2-72b` | anthracite-org/magnum-v2-72b | \$3 | \$3 | - | - |
| `anthracite-org/magnum-v4-72b` | anthracite-org/magnum-v4-72b | \$1.5 | \$2.25 | - | - |
| `anthropic/claude-2` | anthropic/claude-2 | \$8 | \$24 | - | - |
| `anthropic/claude-3-haiku` | anthropic/claude-3-haiku | \$0.25 | \$1.25 | - | - |
| `anthropic/claude-3-opus` | anthropic/claude-3-opus | \$15 | \$75 | - | - |
| `anthropic/claude-3-sonnet` | anthropic/claude-3-sonnet | \$3 | \$15 | - | - |
| `anthropic/claude-3.5-haiku` | anthropic/claude-3.5-haiku | \$0.8 | \$4 | - | - |
| `anthropic/claude-3.5-sonnet` | anthropic/claude-3.5-sonnet | \$3 | \$15 | - | - |
| `anthropic/claude-3.7-sonnet` | anthropic/claude-3.7-sonnet | \$3 | \$15 | - | - |
| `anthropic/claude-haiku-4.5` | anthropic/claude-haiku-4.5 | \$1 | \$5 | \$0.1 | - |
| `anthropic/claude-opus-4.5` | anthropic/claude-opus-4.5 | \$5 | \$25 | \$0.5 | - |
| `anthropic/claude-opus-4.6` | anthropic/claude-opus-4.6 | \$5 | \$25 | \$0.5 | 1,000,000 |
| `anthropic/claude-opus-4.7` | anthropic/claude-opus-4.7 | \$5 | \$25 | \$0.5 | 1,000,000 |
| `anthropic/claude-opus-4.8` | anthropic/claude-opus-4.8 | \$5 | \$25 | \$0.5 | 1,000,000 |
| `anthropic/claude-sonnet-4.5` tiered | anthropic/claude-sonnet-4.5 | \$3 | \$15 | \$0.3 | 1,000,000 |
| `anthropic/claude-sonnet-4.6` | anthropic/claude-sonnet-4.6 | \$3 | \$15 | \$0.3 | 1,000,000 |
| `anubis-pro-105b-v1` | Anubis Pro 105B V1 | \$0.8 | \$1 | - | - |
| `arcee-blitz` | Arcee Blitz | \$0.45 | \$0.75 | - | - |
| `caller-large` | Caller Large | \$0.55 | \$0.85 | - | - |
| `chatgpt-4o-latest` | ChatGPT-4o | \$5 | \$15 | - | - |
| `claude-2` | Claude v2 | \$8 | \$24 | - | - |
| `claude-3-haiku` | Claude 3 Haiku | \$0.25 | \$1.25 | \$0.03 | - |
| `claude-3-opus` | Claude 3 Opus | \$15 | \$75 | \$1.5 | - |
| `claude-3-sonnet` | Claude 3 Sonnet | \$3 | \$15 | \$0.3 | - |
| `claude-3.5-haiku` | Claude 3.5 Haiku | \$0.8 | \$4 | \$0.08 | - |
| `claude-3.5-sonnet` | Claude 3.5 Sonnet | \$3 | \$15 | \$0.3 | - |
| `claude-3.7-sonnet` | Claude 3.7 Sonnet | \$3 | \$15 | \$0.3 | - |
| `claude-opus-4` | Claude Opus 4 | \$15 | \$75 | \$1.5 | - |
| `claude-sonnet-4` | Claude Sonnet 4 | \$3 | \$15 | \$0.3 | - |
| `codellama-7b-instruct-solidity` | CodeLLaMa 7B Instruct Solidity | \$0.8 | \$1.2 | - | - |
| `coder-large` | Coder Large | \$0.5 | \$0.8 | - | - |
| `codestral-2501` | Codestral 2501 | \$0.3 | \$0.9 | - | - |
| `codex-mini` | Codex Mini | \$1.5 | \$6 | \$0.375 | - |
| `cognitivecomputations/dolphin-mixtral-8x22b` | cognitivecomputations/dolphin-mixtral-8x22b | \$0.9 | \$0.9 | - | - |
| `cognitivecomputations/dolphin-mixtral-8x7b` | cognitivecomputations/dolphin-mixtral-8x7b | \$0.5 | \$0.5 | - | - |
| `cohere/command` | cohere/command | \$1 | \$2 | - | - |
| `cohere/command-a` | cohere/command-a | \$2.5 | \$10 | - | - |
| `cohere/command-r` | cohere/command-r | \$0.5 | \$1.5 | - | - |
| `cohere/command-r-08-2024` | cohere/command-r-08-2024 | \$0.15 | \$0.6 | - | - |
| `cohere/command-r-plus` | cohere/command-r-plus | \$3 | \$15 | - | - |
| `cohere/command-r-plus-08-2024` | cohere/command-r-plus-08-2024 | \$2.5 | \$10 | - | - |
| `cohere/command-r7b-12-2024` | cohere/command-r7b-12-2024 | \$0.0375 | \$0.15 | - | - |
| `command` | Command | \$1 | \$2 | - | - |
| `command-a` | Command A | \$2.5 | \$10 | - | - |
| `command-r` | Command R | \$0.5 | \$1.5 | - | - |
| `command-r-08-2024` | Command R (08-2024) | \$0.15 | \$0.6 | - | - |
| `command-r-plus` | Command R+ | \$3 | \$15 | - | - |
| `command-r-plus-08-2024` | Command R+ (08-2024) | \$2.5 | \$10 | - | - |
| `command-r7b-12-2024` | Command R7B (12-2024) | \$0.0375 | \$0.15 | - | - |
| `deepseek-chat` | DeepSeek V3 | \$0.38 | \$0.89 | - | - |
| `deepseek-chat-v3-0324` | DeepSeek V3 0324 | \$0.3 | \$0.88 | - | - |
| `deepseek-prover-v2` | DeepSeek Prover V2 | \$0.5 | \$2.18 | - | - |
| `deepseek-r1` | R1 | \$0.45 | \$2.15 | - | - |
| `deepseek-r1-0528` | R1 0528 | \$0.5 | \$2.15 | - | - |
| `deepseek-r1-0528-qwen3-8b` | Deepseek R1 0528 Qwen3 8B | \$0.05 | \$0.1 | - | - |
| `deepseek-r1-distill-llama-70b` | R1 Distill Llama 70B | \$0.1 | \$0.4 | - | - |
| `deepseek-r1-distill-llama-8b` | R1 Distill Llama 8B | \$0.04 | \$0.04 | - | - |
| `deepseek-r1-distill-qwen-1.5b` | R1 Distill Qwen 1.5B | \$0.18 | \$0.18 | - | - |
| `deepseek-r1-distill-qwen-14b` | R1 Distill Qwen 14B | \$0.15 | \$0.15 | - | - |
| `deepseek-r1-distill-qwen-32b` | R1 Distill Qwen 32B | \$0.12 | \$0.18 | - | - |
| `deepseek-r1-distill-qwen-7b` | R1 Distill Qwen 7B | \$0.1 | \$0.2 | - | - |
| `deepseek-v3.1-terminus` | DeepSeek V3.1 Terminus | \$0.23 | \$0.9 | - | 163,840 |
| `deepseek/deepseek-chat` | deepseek/deepseek-chat | \$0.38 | \$0.89 | - | - |
| `deepseek/deepseek-chat-v3-0324` | deepseek/deepseek-chat-v3-0324 | \$0.27 | \$1.1 | - | - |
| `deepseek/deepseek-chat-v3.1` | DeepSeek Chat V3.1 | \$0.2 | \$0.8 | - | 163,840 |
| `deepseek/deepseek-r1` | deepseek/deepseek-r1 | \$0.5 | \$3 | - | - |
| `deepseek/deepseek-r1-distill-llama-70b` | deepseek/deepseek-r1-distill-llama-70b | \$0.1 | \$0.4 | - | - |
| `deepseek/deepseek-r1-distill-llama-8b` | deepseek/deepseek-r1-distill-llama-8b | \$0.04 | \$0.04 | - | - |
| `deepseek/deepseek-r1-distill-qwen-1.5b` | deepseek/deepseek-r1-distill-qwen-1.5b | \$0.18 | \$0.18 | - | - |
| `deepseek/deepseek-r1-distill-qwen-14b` | deepseek/deepseek-r1-distill-qwen-14b | \$0.15 | \$0.15 | - | - |
| `deepseek/deepseek-r1-distill-qwen-32b` | deepseek/deepseek-r1-distill-qwen-32b | \$0.12 | \$0.18 | - | - |
| `deepseek/deepseek-v3.2` | DeepSeek V3.2 | \$0.252 | \$0.378 | \$0.0252 | 131,072 |
| `deepseek/deepseek-v3.2-exp` | DeepSeek V3.2 Experimental | \$0.27 | \$0.4 | - | - |
| `devstral-small` | Devstral Small | \$0.06 | \$0.12 | - | - |
| `dobby-mini-unhinged-plus-llama-3.1-8b` | Dobby Mini Plus Llama 3.1 8B | \$0.2 | \$0.2 | - | - |
| `dolphin-mixtral-8x22b` | Dolphin 2.9.2 Mixtral 8x22B 🐬 | \$0.9 | \$0.9 | - | - |
| `eleutherai/llemma_7b` | eleutherai/llemma\_7b | \$0.8 | \$1.2 | - | - |
| `eva-llama-3.33-70b` | EVA Llama 3.33 70B | \$4 | \$6 | - | - |
| `eva-qwen-2.5-32b` | EVA Qwen2.5 32B | \$2.6 | \$3.4 | - | - |
| `eva-qwen-2.5-72b` | EVA Qwen2.5 72B | \$4 | \$6 | - | - |
| `eva-unit-01/eva-llama-3.33-70b` | eva-unit-01/eva-llama-3.33-70b | \$4 | \$6 | - | - |
| `eva-unit-01/eva-qwen-2.5-32b` | eva-unit-01/eva-qwen-2.5-32b | \$2.6 | \$3.4 | - | - |
| `eva-unit-01/eva-qwen-2.5-72b` | eva-unit-01/eva-qwen-2.5-72b | \$0.9 | \$1.2 | - | - |
| `fimbulvetr-11b-v2` | Fimbulvetr 11B v2 | \$0.8 | \$1.2 | - | - |
| `gemini-2.0-flash-001` | Gemini 2.0 Flash | \$0.1 | \$0.4 | \$0.025 | - |
| `gemini-2.0-flash-lite-001` | Gemini 2.0 Flash Lite | \$0.075 | \$0.3 | - | - |
| `gemini-2.5-flash` | Gemini 2.5 Flash | \$0.3 | \$2.5 | \$0.075 | - |
| `gemini-2.5-flash-lite-preview-06-17` | Gemini 2.5 Flash Lite Preview 06-17 | \$0.1 | \$0.4 | - | - |
| `gemini-2.5-flash-preview` | Gemini 2.5 Flash Preview 04-17 | \$0.15 | \$0.6 | \$0.0375 | - |
| `gemini-2.5-flash-preview-05-20:thinking` | Gemini 2.5 Flash Preview 05-20 (thinking) | \$0.15 | \$3.5 | \$0.0375 | - |
| `gemini-2.5-flash-preview:thinking` | Gemini 2.5 Flash Preview 04-17 (thinking) | \$0.15 | \$3.5 | \$0.0375 | - |
| `gemini-2.5-pro` | Gemini 2.5 Pro | \$1.25 | \$10 | \$0.31 | - |
| `gemini-flash-1.5` | Gemini 1.5 Flash | \$0.075 | \$0.3 | \$0.01875 | - |
| `gemini-flash-1.5-8b` | Gemini 1.5 Flash 8B | \$0.0375 | \$0.15 | \$0.01 | - |
| `gemini-pro-1.5` | Gemini 1.5 Pro | \$1.25 | \$5 | - | - |
| `gemma-2-27b-it` | Gemma 2 27B | \$0.8 | \$0.8 | - | - |
| `gemma-2-9b-it` | Gemma 2 9B | \$0.2 | \$0.2 | - | - |
| `gemma-3-12b-it` | Gemma 3 12B | \$0.05 | \$0.1 | - | - |
| `gemma-3-27b-it` | Gemma 3 27B | \$0.1 | \$0.2 | - | - |
| `gemma-3-4b-it` | Gemma 3 4B | \$0.02 | \$0.04 | - | - |
| `glm-4-32b` | GLM 4 32B | \$0.24 | \$0.24 | - | - |
| `glm-z1-32b` | GLM Z1 32B | \$0.24 | \$0.24 | - | - |
| `glm-z1-rumination-32b` | GLM Z1 Rumination 32B | \$0.24 | \$0.24 | - | - |
| `goliath-120b` | Goliath 120B | \$10 | \$12.5 | - | - |
| `google/gemini-2.0-flash-001` | google/gemini-2.0-flash-001 | \$0.1 | \$0.4 | - | - |
| `google/gemini-2.0-flash-lite-001` | google/gemini-2.0-flash-lite-001 | \$0.075 | \$0.3 | - | - |
| `google/gemini-2.5-flash-image` | Gemini 2.5 Flash Image (Nano Banana) | \$0.3 | \$2.5 | - | - |
| `google/gemini-2.5-flash-lite` | Gemini 2.5 Flash Lite | \$0.1 | \$0.4 | \$0.025 | - |
| `google/gemini-2.5-flash-lite-preview-09-2025` | Gemini 2.5 Flash Lite Preview 09-2025 | \$0.1 | \$0.4 | - | - |
| `google/gemini-2.5-flash-preview` | google/gemini-2.5-flash-preview | \$0.15 | \$0.6 | - | - |
| `google/gemini-2.5-flash-preview-09-2025` | Gemini 2.5 Flash Preview 09-2025 | \$0.3 | \$2.5 | \$0.075 | - |
| `google/gemini-2.5-flash-preview:thinking` | google/gemini-2.5-flash-preview:thinking | \$0.15 | \$3.5 | - | - |
| `google/gemini-2.5-pro-preview-03-25` | google/gemini-2.5-pro-preview-03-25 | \$1.25 | \$10 | - | - |
| `google/gemini-flash-1.5` | google/gemini-flash-1.5 | \$0.075 | \$0.3 | - | - |
| `google/gemini-flash-1.5-8b` | google/gemini-flash-1.5-8b | \$0.0375 | \$0.15 | - | - |
| `google/gemini-pro` | google/gemini-pro | \$0.5 | \$1.5 | - | - |
| `google/gemini-pro-1.5` | google/gemini-pro-1.5 | \$1.25 | \$5 | - | - |
| `google/gemma-2-27b-it` | google/gemma-2-27b-it | \$0.8 | \$0.8 | - | - |
| `google/gemma-2-9b-it` | google/gemma-2-9b-it | \$0.07 | \$0.07 | - | - |
| `google/gemma-3-12b-it` | google/gemma-3-12b-it | \$0.05 | \$0.1 | - | - |
| `google/gemma-3-27b-it` | google/gemma-3-27b-it | \$0.1 | \$0.2 | - | - |
| `google/gemma-3-4b-it` | google/gemma-3-4b-it | \$0.02 | \$0.04 | - | - |
| `google/palm-2-chat-bison` | google/palm-2-chat-bison | \$1 | \$2 | - | - |
| `google/palm-2-codechat-bison` | google/palm-2-codechat-bison | \$1 | \$2 | - | - |
| `gpt-3.5-turbo` | GPT-3.5 Turbo | \$0.5 | \$1.5 | - | - |
| `gpt-3.5-turbo-0613` | GPT-3.5 Turbo (older v0613) | \$1 | \$2 | - | - |
| `gpt-3.5-turbo-1106` | GPT-3.5 Turbo 16k (older v1106) | \$1 | \$2 | - | - |
| `gpt-3.5-turbo-16k` | GPT-3.5 Turbo 16k | \$3 | \$4 | - | - |
| `gpt-3.5-turbo-instruct` | GPT-3.5 Turbo Instruct | \$1.5 | \$2 | - | - |
| `gpt-4` | GPT-4 | \$30 | \$60 | - | - |
| `gpt-4-1106-preview` | GPT-4 Turbo (older v1106) | \$10 | \$30 | - | - |
| `gpt-4-turbo` | GPT-4 Turbo | \$10 | \$30 | - | - |
| `gpt-4.1` | GPT-4.1 | \$2 | \$8 | \$0.5 | - |
| `gpt-4.1-mini` | GPT-4.1 Mini | \$0.4 | \$1.6 | \$0.1 | - |
| `gpt-4.1-nano` | GPT-4.1 Nano | \$0.1 | \$0.4 | \$0.025 | - |
| `gpt-4.5-preview` | GPT-4.5 (Preview) | \$75 | \$150 | \$37.5 | - |
| `gpt-4o` | GPT-4o | \$2.5 | \$10 | \$1.25 | - |
| `gpt-4o-2024-05-13` | GPT-4o (2024-05-13) | \$5 | \$15 | - | - |
| `gpt-4o-mini` | GPT-4o-mini | \$0.15 | \$0.6 | \$0.075 | - |
| `gpt-4o-mini-search-preview` | GPT-4o-mini Search Preview | \$0.15 | \$0.6 | - | - |
| `gpt-4o-search-preview` | GPT-4o Search Preview | \$2.5 | \$10 | - | - |
| `gpt-4o:extended` | GPT-4o (extended) | \$6 | \$18 | - | - |
| `grok-2-1212` | Grok 2 1212 | \$2 | \$10 | - | - |
| `grok-2-vision-1212` | Grok 2 Vision 1212 | \$2 | \$10 | - | - |
| `grok-3` | Grok 3 | \$3 | \$15 | \$0.75 | - |
| `grok-3-mini` | Grok 3 Mini | \$0.3 | \$0.5 | \$0.075 | - |
| `grok-beta` | Grok Beta | \$5 | \$15 | - | - |
| `grok-vision-beta` | Grok Vision Beta | \$5 | \$15 | - | - |
| `gryphe/mythomax-l2-13b` | gryphe/mythomax-l2-13b | \$0.065 | \$0.065 | - | - |
| `hermes-2-pro-llama-3-8b` | Hermes 2 Pro - Llama-3 8B | \$0.025 | \$0.04 | - | - |
| `hermes-3-llama-3.1-405b` | Hermes 3 405B Instruct | \$0.7 | \$0.8 | - | - |
| `hermes-3-llama-3.1-70b` | Hermes 3 70B Instruct | \$0.12 | \$0.3 | - | - |
| `infermatic/mn-inferor-12b` | infermatic/mn-inferor-12b | \$0.8 | \$1.2 | - | - |
| `inflection-3-pi` | Inflection 3 Pi | \$2.5 | \$10 | - | - |
| `inflection-3-productivity` | Inflection 3 Productivity | \$2.5 | \$10 | - | - |
| `inflection/inflection-3-pi` | inflection/inflection-3-pi | \$2.5 | \$10 | - | - |
| `inflection/inflection-3-productivity` | inflection/inflection-3-productivity | \$2.5 | \$10 | - | - |
| `jamba-1.6-large` | Jamba 1.6 Large | \$2 | \$8 | - | - |
| `jamba-1.6-mini` | Jamba Mini 1.6 | \$0.2 | \$0.4 | - | - |
| `jondurbin/airoboros-l2-70b` | jondurbin/airoboros-l2-70b | \$0.5 | \$0.5 | - | - |
| `l3-euryale-70b` | Llama 3 Euryale 70B v2.1 | \$1.48 | \$1.48 | - | - |
| `l3-lunaris-8b` | Llama 3 8B Lunaris | \$0.02 | \$0.05 | - | - |
| `l3.1-euryale-70b` | Llama 3.1 Euryale 70B v2.2 | \$0.7 | \$0.8 | - | - |
| `l3.3-euryale-70b` | Llama 3.3 Euryale 70B | \$0.7 | \$0.8 | - | - |
| `latitudegames/wayfarer-large-70b-llama-3.3` | latitudegames/wayfarer-large-70b-llama-3.3 | \$0.8 | \$0.9 | - | - |
| `lfm-3b` | LFM 3B | \$0.02 | \$0.02 | - | - |
| `lfm-40b` | LFM 40B MoE | \$0.15 | \$0.15 | - | - |
| `lfm-7b` | LFM 7B | \$0.01 | \$0.01 | - | - |
| `liquid/lfm-3b` | liquid/lfm-3b | \$0.02 | \$0.02 | - | - |
| `liquid/lfm-40b` | liquid/lfm-40b | \$0.15 | \$0.15 | - | - |
| `liquid/lfm-7b` | liquid/lfm-7b | \$0.01 | \$0.01 | - | - |
| `llama-3-70b-instruct` | Llama 3 70B Instruct | \$0.3 | \$0.4 | - | - |
| `llama-3-8b-instruct` | Llama 3 8B Instruct | \$0.03 | \$0.06 | - | - |
| `llama-3-lumimaid-70b` | Llama 3 Lumimaid 70B | \$4 | \$6 | - | - |
| `llama-3-lumimaid-8b` | Llama 3 Lumimaid 8B | \$0.2 | \$1.25 | - | - |
| `llama-3.1-405b` | Llama 3.1 405B (base) | \$2 | \$2 | - | - |
| `llama-3.1-405b-instruct` | Llama 3.1 405B Instruct | \$0.8 | \$0.8 | - | - |
| `llama-3.1-70b-instruct` | Llama 3.1 70B Instruct | \$0.1 | \$0.28 | - | - |
| `llama-3.1-8b-instruct` | Llama 3.1 8B Instruct | \$0.016 | \$0.029 | - | - |
| `llama-3.1-lumimaid-70b` | Lumimaid v0.2 70B | \$2.5 | \$3 | - | - |
| `llama-3.1-lumimaid-8b` | Lumimaid v0.2 8B | \$0.2 | \$1.25 | - | - |
| `llama-3.1-nemotron-70b-instruct` | Llama 3.1 Nemotron 70B Instruct | \$0.12 | \$0.3 | - | - |
| `llama-3.1-nemotron-ultra-253b-v1` | Llama 3.1 Nemotron Ultra 253B v1 | \$0.6 | \$1.8 | - | - |
| `llama-3.1-sonar-large-128k-online` | Llama 3.1 Sonar 70B Online | \$1 | \$1 | - | - |
| `llama-3.1-sonar-small-128k-online` | Llama 3.1 Sonar 8B Online | \$0.2 | \$0.2 | - | - |
| `llama-3.2-11b-vision-instruct` | Llama 3.2 11B Vision Instruct | \$0.049 | \$0.049 | - | - |
| `llama-3.2-1b-instruct` | Llama 3.2 1B Instruct | \$0.005 | \$0.01 | - | - |
| `llama-3.2-3b-instruct` | Llama 3.2 3B Instruct | \$0.01 | \$0.02 | - | - |
| `llama-3.2-90b-vision-instruct` | Llama 3.2 90B Vision Instruct | \$1.2 | \$1.2 | - | - |
| `llama-3.3-70b-instruct` | Llama 3.3 70B Instruct | \$0.05 | \$0.24 | - | - |
| `llama-3.3-nemotron-super-49b-v1` | Llama 3.3 Nemotron Super 49B v1 | \$0.13 | \$0.4 | - | - |
| `llama-4-maverick` | Llama 4 Maverick | \$0.15 | \$0.6 | - | - |
| `llama-4-scout` | Llama 4 Scout | \$0.08 | \$0.3 | - | - |
| `llama-guard-2-8b` | LlamaGuard 2 8B | \$0.2 | \$0.2 | - | - |
| `llama-guard-3-8b` | Llama Guard 3 8B | \$0.02 | \$0.06 | - | - |
| `llama-guard-4-12b` | Llama Guard 4 12B | \$0.05 | \$0.05 | - | - |
| `llama3.1-typhoon2-70b-instruct` | Typhoon2 70B Instruct | \$0.88 | \$0.88 | - | - |
| `llemma_7b` | Llemma 7b | \$0.8 | \$1.2 | - | - |
| `maestro-reasoning` | Maestro Reasoning | \$0.9 | \$3.3 | - | - |
| `magistral-medium-2506` | Magistral Medium 2506 | \$2 | \$5 | - | - |
| `magistral-small-2506` | Magistral Small 2506 | \$0.5 | \$1.5 | - | - |
| `magnum-72b` | Magnum 72B | \$4 | \$6 | - | - |
| `magnum-v2-72b` | Magnum v2 72B | \$3 | \$3 | - | - |
| `magnum-v4-72b` | Magnum v4 72B | \$2.5 | \$3 | - | - |
| `mancer/weaver` | mancer/weaver | \$1.125 | \$1.125 | - | - |
| `mercury-coder-small-beta` | Mercury Coder Small Beta | \$0.25 | \$1 | - | - |
| `meta-llama/llama-2-13b-chat` | meta-llama/llama-2-13b-chat | \$0.22 | \$0.22 | - | - |
| `meta-llama/llama-2-70b-chat` | meta-llama/llama-2-70b-chat | \$0.9 | \$0.9 | - | - |
| `meta-llama/llama-3-70b-instruct` | meta-llama/llama-3-70b-instruct | \$0.3 | \$0.4 | - | - |
| `meta-llama/llama-3-8b-instruct` | meta-llama/llama-3-8b-instruct | \$0.03 | \$0.06 | - | - |
| `meta-llama/llama-3.1-405b` | meta-llama/llama-3.1-405b | \$2 | \$2 | - | - |
| `meta-llama/llama-3.1-405b-instruct` | meta-llama/llama-3.1-405b-instruct | \$0.8 | \$0.8 | - | - |
| `meta-llama/llama-3.1-70b-instruct` | meta-llama/llama-3.1-70b-instruct | \$0.119 | \$0.39 | - | - |
| `meta-llama/llama-3.1-8b-instruct` | meta-llama/llama-3.1-8b-instruct | \$0.02 | \$0.03 | - | - |
| `meta-llama/llama-3.2-11b-vision-instruct` | meta-llama/llama-3.2-11b-vision-instruct | \$0.049 | \$0.049 | - | - |
| `meta-llama/llama-3.2-1b-instruct` | meta-llama/llama-3.2-1b-instruct | \$0.01 | \$0.01 | - | - |
| `meta-llama/llama-3.2-3b-instruct` | meta-llama/llama-3.2-3b-instruct | \$0.015 | \$0.025 | - | - |
| `meta-llama/llama-3.2-90b-vision-instruct` | meta-llama/llama-3.2-90b-vision-instruct | \$0.9 | \$0.9 | - | - |
| `meta-llama/llama-3.3-70b-instruct` | meta-llama/llama-3.3-70b-instruct | \$0.1 | \$0.25 | - | - |
| `meta-llama/llama-4-maverick` | meta-llama/llama-4-maverick | \$0.17 | \$0.85 | - | - |
| `meta-llama/llama-4-scout` | meta-llama/llama-4-scout | \$0.08 | \$0.3 | - | - |
| `meta-llama/llama-guard-2-8b` | meta-llama/llama-guard-2-8b | \$0.2 | \$0.2 | - | - |
| `meta-llama/llama-guard-3-8b` | meta-llama/llama-guard-3-8b | \$0.1 | \$0.1 | - | - |
| `microsoft/phi-3-medium-128k-instruct` | microsoft/phi-3-medium-128k-instruct | \$1 | \$1 | - | - |
| `microsoft/phi-3-mini-128k-instruct` | microsoft/phi-3-mini-128k-instruct | \$0.1 | \$0.1 | - | - |
| `microsoft/phi-3.5-mini-128k-instruct` | microsoft/phi-3.5-mini-128k-instruct | \$0.1 | \$0.1 | - | - |
| `microsoft/phi-4` | microsoft/phi-4 | \$0.07 | \$0.14 | - | - |
| `microsoft/phi-4-multimodal-instruct` | microsoft/phi-4-multimodal-instruct | \$0.05 | \$0.1 | - | - |
| `microsoft/wizardlm-2-7b` | microsoft/wizardlm-2-7b | \$0.07 | \$0.07 | - | - |
| `microsoft/wizardlm-2-8x22b` | microsoft/wizardlm-2-8x22b | \$0.5 | \$0.5 | - | - |
| `midnight-rose-70b` | Midnight Rose 70B | \$0.8 | \$0.8 | - | - |
| `minimax-01` | MiniMax-01 | \$0.2 | \$1.1 | - | - |
| `minimax-m1` | MiniMax M1 | \$0.3 | \$1.65 | - | - |
| `minimax-m1:extended` | MiniMax M1 (extended) | \$0.55 | \$2.2 | - | - |
| `minimax/minimax-01` | minimax/minimax-01 | \$0.2 | \$1.1 | - | - |
| `ministral-3b` | Ministral 3B | \$0.04 | \$0.04 | - | - |
| `ministral-8b` | Ministral 8B | \$0.1 | \$0.1 | - | - |
| `mistral-7b-instruct` | Mistral 7B Instruct | \$0.028 | \$0.054 | - | - |
| `mistral-7b-instruct-v0.1` | Mistral 7B Instruct v0.1 | \$0.11 | \$0.19 | - | - |
| `mistral-7b-instruct-v0.2` | Mistral 7B Instruct v0.2 | \$0.2 | \$0.2 | - | - |
| `mistral-large` | Mistral Large | \$2 | \$6 | - | - |
| `mistral-medium` | Mistral Medium | \$2.75 | \$8.1 | - | - |
| `mistral-medium-3` | Mistral Medium 3 | \$0.4 | \$2 | - | - |
| `mistral-nemo` | Mistral Nemo | \$0.01 | \$0.019 | - | - |
| `mistral-saba` | Saba | \$0.2 | \$0.6 | - | - |
| `mistral-small` | Mistral Small | \$0.2 | \$0.6 | - | - |
| `mistral-small-24b-instruct-2501` | Mistral Small 3 | \$0.05 | \$0.09 | - | - |
| `mistral-small-3.1-24b-instruct` | Mistral Small 3.1 24B | \$0.05 | \$0.15 | - | - |
| `mistral-tiny` | Mistral Tiny | \$0.25 | \$0.25 | - | - |
| `mistral/ministral-8b` | mistral/ministral-8b | \$0.1 | \$0.1 | - | - |
| `mistralai/codestral-2501` | mistralai/codestral-2501 | \$0.3 | \$0.9 | - | - |
| `mistralai/codestral-mamba` | mistralai/codestral-mamba | \$0.25 | \$0.25 | - | - |
| `mistralai/ministral-3b` | mistralai/ministral-3b | \$0.04 | \$0.04 | - | - |
| `mistralai/ministral-8b` | mistralai/ministral-8b | \$0.1 | \$0.1 | - | - |
| `mistralai/mistral-7b-instruct` | mistralai/mistral-7b-instruct | \$0.029 | \$0.059 | - | - |
| `mistralai/mistral-7b-instruct-v0.1` | mistralai/mistral-7b-instruct-v0.1 | \$0.2 | \$0.2 | - | - |
| `mistralai/mistral-7b-instruct-v0.2` | mistralai/mistral-7b-instruct-v0.2 | \$0.2 | \$0.2 | - | - |
| `mistralai/mistral-large` | mistralai/mistral-large | \$2 | \$6 | - | - |
| `mistralai/mistral-medium` | mistralai/mistral-medium | \$2.75 | \$8.1 | - | - |
| `mistralai/mistral-nemo` | mistralai/mistral-nemo | \$0.035 | \$0.08 | - | - |
| `mistralai/mistral-saba` | mistralai/mistral-saba | \$0.2 | \$0.6 | - | - |
| `mistralai/mistral-small` | mistralai/mistral-small | \$0.2 | \$0.6 | - | - |
| `mistralai/mistral-small-24b-instruct-2501` | mistralai/mistral-small-24b-instruct-2501 | \$0.07 | \$0.14 | - | - |
| `mistralai/mistral-small-3.1-24b-instruct` | mistralai/mistral-small-3.1-24b-instruct | \$0.1 | \$0.3 | - | - |
| `mistralai/mistral-tiny` | mistralai/mistral-tiny | \$0.25 | \$0.25 | - | - |
| `mistralai/mixtral-8x22b-instruct` | mistralai/mixtral-8x22b-instruct | \$0.9 | \$0.9 | - | - |
| `mistralai/mixtral-8x7b-instruct` | mistralai/mixtral-8x7b-instruct | \$0.24 | \$0.24 | - | - |
| `mistralai/pixtral-12b` | mistralai/pixtral-12b | \$0.1 | \$0.1 | - | - |
| `mistralai/pixtral-large-2411` | mistralai/pixtral-large-2411 | \$2 | \$6 | - | - |
| `mixtral-8x22b-instruct` | Mixtral 8x22B Instruct | \$0.9 | \$0.9 | - | - |
| `mixtral-8x7b-instruct` | Mixtral 8x7B Instruct | \$0.08 | \$0.24 | - | - |
| `mn-celeste-12b` | Mistral Nemo 12B Celeste | \$0.8 | \$1.2 | - | - |
| `mn-inferor-12b` | Mistral Nemo Inferor 12B | \$0.8 | \$1.2 | - | - |
| `mn-starcannon-12b` | Starcannon 12B | \$0.8 | \$1.2 | - | - |
| `moonshotai/kimi-k2.5` | Kimi K2.5 | \$0.6 | \$3 | - | - |
| `mythalion-13b` | Mythalion 13B | \$0.8 | \$1.2 | - | - |
| `mythomax-l2-13b` | MythoMax 13B | \$0.065 | \$0.065 | - | - |
| `neversleep/llama-3-lumimaid-70b` | neversleep/llama-3-lumimaid-70b | \$3.375 | \$4.5 | - | - |
| `neversleep/llama-3-lumimaid-8b` | neversleep/llama-3-lumimaid-8b | \$0.09375 | \$0.75 | - | - |
| `neversleep/llama-3.1-lumimaid-70b` | neversleep/llama-3.1-lumimaid-70b | \$1.5 | \$2.25 | - | - |
| `neversleep/llama-3.1-lumimaid-8b` | neversleep/llama-3.1-lumimaid-8b | \$0.09375 | \$0.75 | - | - |
| `neversleep/noromaid-20b` | neversleep/noromaid-20b | \$0.75 | \$1.5 | - | - |
| `noromaid-20b` | Noromaid 20B | \$1.25 | \$2 | - | - |
| `nothingiisreal/mn-celeste-12b` | nothingiisreal/mn-celeste-12b | \$0.8 | \$1.2 | - | - |
| `nous-hermes-2-mixtral-8x7b-dpo` | Hermes 2 Mixtral 8x7B DPO | \$0.6 | \$0.6 | - | - |
| `nousresearch/hermes-2-pro-llama-3-8b` | nousresearch/hermes-2-pro-llama-3-8b | \$0.025 | \$0.04 | - | - |
| `nousresearch/hermes-3-llama-3.1-405b` | nousresearch/hermes-3-llama-3.1-405b | \$0.8 | \$0.8 | - | - |
| `nousresearch/hermes-3-llama-3.1-70b` | nousresearch/hermes-3-llama-3.1-70b | \$0.12 | \$0.3 | - | - |
| `nousresearch/nous-hermes-2-mixtral-8x7b-dpo` | nousresearch/nous-hermes-2-mixtral-8x7b-dpo | \$0.6 | \$0.6 | - | - |
| `nousresearch/nous-hermes-llama2-13b` | nousresearch/nous-hermes-llama2-13b | \$0.18 | \$0.18 | - | - |
| `nova-lite-v1` | Nova Lite 1.0 | \$0.06 | \$0.24 | - | - |
| `nova-micro-v1` | Nova Micro 1.0 | \$0.035 | \$0.14 | - | - |
| `nova-pro-v1` | Nova Pro 1.0 | \$0.8 | \$3.2 | - | - |
| `nvidia/llama-3.1-nemotron-70b-instruct` | nvidia/llama-3.1-nemotron-70b-instruct | \$0.12 | \$0.3 | - | - |
| `o1` | o1 | \$15 | \$60 | \$7.5 | - |
| `o1-mini` | o1-mini | \$1.1 | \$4.4 | \$0.55 | - |
| `o1-pro` | o1-pro | \$150 | \$600 | - | - |
| `o3` | o3 | \$2 | \$8 | \$0.5 | - |
| `o3-mini` | o3 Mini | \$1.1 | \$4.4 | \$0.55 | - |
| `o3-pro` | o3 Pro | \$20 | \$80 | - | - |
| `o4-mini` | o4 Mini | \$1.1 | \$4.4 | \$0.275 | - |
| `openai/chatgpt-4o-latest` | openai/chatgpt-4o-latest | \$5 | \$15 | - | - |
| `openai/codex-mini` | openai/codex-mini | \$1.5 | \$6 | \$0.375 | - |
| `openai/gpt-3.5-turbo` | openai/gpt-3.5-turbo | \$0.5 | \$1.5 | - | - |
| `openai/gpt-3.5-turbo-0613` | openai/gpt-3.5-turbo-0613 | \$1 | \$2 | - | - |
| `openai/gpt-3.5-turbo-1106` | openai/gpt-3.5-turbo-1106 | \$1 | \$2 | - | - |
| `openai/gpt-3.5-turbo-16k` | openai/gpt-3.5-turbo-16k | \$3 | \$4 | - | - |
| `openai/gpt-3.5-turbo-instruct` | openai/gpt-3.5-turbo-instruct | \$1.5 | \$2 | - | - |
| `openai/gpt-4` | openai/gpt-4 | \$30 | \$60 | - | - |
| `openai/gpt-4-1106-preview` | openai/gpt-4-1106-preview | \$10 | \$30 | - | - |
| `openai/gpt-4-32k` | openai/gpt-4-32k | \$60 | \$120 | - | - |
| `openai/gpt-4-turbo` | openai/gpt-4-turbo | \$10 | \$30 | - | - |
| `openai/gpt-4.1` | openai/gpt-4.1 | \$2 | \$8 | - | - |
| `openai/gpt-4.1-mini` | openai/gpt-4.1-mini | \$0.4 | \$1.6 | - | - |
| `openai/gpt-4.1-nano` | openai/gpt-4.1-nano | \$0.1 | \$0.4 | - | - |
| `openai/gpt-4.5-preview` | openai/gpt-4.5-preview | \$75 | \$150 | - | - |
| `openai/gpt-4o` | openai/gpt-4o | \$2.5 | \$10 | - | - |
| `openai/gpt-4o-2024-05-13` | openai/gpt-4o-2024-05-13 | \$5 | \$15 | - | - |
| `openai/gpt-4o-mini` | openai/gpt-4o-mini | \$0.15 | \$0.6 | - | - |
| `openai/gpt-4o:extended` | openai/gpt-4o:extended | \$6 | \$18 | - | - |
| `openai/gpt-5` | openai/gpt-5 | \$1.25 | \$10 | \$0.125 | - |
| `openai/gpt-5-image` | openai/gpt-5-image | \$10 | \$10 | \$1.25 | - |
| `openai/gpt-5-image-mini` | openai/gpt-5-image-mini | \$2.5 | \$2 | \$0.25 | - |
| `openai/gpt-5-mini` | openai/gpt-5-mini | \$0.25 | \$2 | \$0.025 | - |
| `openai/gpt-5-nano` | openai/gpt-5-nano | \$0.05 | \$0.4 | \$0.005 | - |
| `openai/gpt-5-pro` | openai/gpt-5-pro | \$15 | \$120 | - | - |
| `openai/gpt-5.1-codex-mini` | openai/gpt-5.1-codex-mini | \$0.25 | \$2 | \$0.025 | - |
| `openai/gpt-oss-120b` | openai/gpt-oss-120b | \$0.04 | \$0.2 | - | - |
| `openai/gpt-oss-20b` | openai/gpt-oss-20b | \$0.03 | \$0.14 | - | - |
| `openai/gpt-oss-safeguard-20b` | openai/gpt-oss-safeguard-20b | \$0.075 | \$0.3 | \$0.037 | - |
| `openai/o1` | openai/o1 | \$15 | \$60 | - | - |
| `openai/o1-mini` | openai/o1-mini | \$1.1 | \$4.4 | - | - |
| `openai/o1-pro` | openai/o1-pro | \$150 | \$600 | - | - |
| `openai/o3` | openai/o3 | \$10 | \$40 | - | - |
| `openai/o3-deep-research` | openai/o3-deep-research | \$10 | \$40 | \$2.5 | - |
| `openai/o3-mini` | openai/o3-mini | \$1.1 | \$4.4 | - | - |
| `openai/o3-pro` | openai/o3-pro | \$20 | \$80 | - | - |
| `openai/o4-mini` | openai/o4-mini | \$1.1 | \$4.4 | - | - |
| `openai/o4-mini-deep-research` | openai/o4-mini-deep-research | \$2 | \$8 | \$0.5 | - |
| `openchat/openchat-7b` | openchat/openchat-7b | \$0.07 | \$0.07 | - | - |
| `openhands-lm-32b-v0.1` | OpenHands LM 32B V0.1 | \$2.6 | \$3.4 | - | - |
| `perplexity/llama-3.1-sonar-large-128k-online` | perplexity/llama-3.1-sonar-large-128k-online | \$1 | \$1 | - | - |
| `perplexity/llama-3.1-sonar-small-128k-online` | perplexity/llama-3.1-sonar-small-128k-online | \$0.2 | \$0.2 | - | - |
| `perplexity/r1-1776` | perplexity/r1-1776 | \$2 | \$8 | - | - |
| `perplexity/sonar` | perplexity/sonar | \$1 | \$1 | - | - |
| `perplexity/sonar-deep-research` | perplexity/sonar-deep-research | \$2 | \$8 | - | - |
| `perplexity/sonar-pro` | perplexity/sonar-pro | \$3 | \$15 | - | - |
| `perplexity/sonar-reasoning` | perplexity/sonar-reasoning | \$1 | \$5 | - | - |
| `perplexity/sonar-reasoning-pro` | perplexity/sonar-reasoning-pro | \$2 | \$8 | - | - |
| `phi-3-medium-128k-instruct` | Phi-3 Medium 128K Instruct | \$1 | \$1 | - | - |
| `phi-3-mini-128k-instruct` | Phi-3 Mini 128K Instruct | \$0.1 | \$0.1 | - | - |
| `phi-3.5-mini-128k-instruct` | Phi-3.5 Mini 128K Instruct | \$0.1 | \$0.1 | - | - |
| `phi-4` | Phi 4 | \$0.07 | \$0.14 | - | - |
| `phi-4-multimodal-instruct` | Phi 4 Multimodal Instruct | \$0.05 | \$0.1 | - | - |
| `phi-4-reasoning-plus` | Phi 4 Reasoning Plus | \$0.07 | \$0.35 | - | - |
| `pixtral-12b` | Pixtral 12B | \$0.1 | \$0.1 | - | - |
| `pixtral-large-2411` | Pixtral Large 2411 | \$2 | \$6 | - | - |
| `pygmalionai/mythalion-13b` | pygmalionai/mythalion-13b | \$0.5625 | \$1.125 | - | - |
| `qwen-2-72b-instruct` | Qwen 2 72B Instruct | \$0.9 | \$0.9 | - | - |
| `qwen-2.5-72b-instruct` | Qwen2.5 72B Instruct | \$0.12 | \$0.39 | - | - |
| `qwen-2.5-7b-instruct` | Qwen2.5 7B Instruct | \$0.04 | \$0.1 | - | - |
| `qwen-2.5-coder-32b-instruct` | Qwen2.5 Coder 32B Instruct | \$0.06 | \$0.15 | - | - |
| `qwen-2.5-vl-7b-instruct` | Qwen2.5-VL 7B Instruct | \$0.2 | \$0.2 | - | - |
| `qwen-max` | Qwen-Max | \$1.6 | \$6.4 | \$0.64 | - |
| `qwen-plus` | Qwen-Plus | \$0.4 | \$1.2 | \$0.16 | - |
| `qwen-turbo` | Qwen-Turbo | \$0.05 | \$0.2 | \$0.02 | - |
| `qwen-vl-max` | Qwen VL Max | \$0.8 | \$3.2 | - | - |
| `qwen-vl-plus` | Qwen VL Plus | \$0.21 | \$0.63 | - | - |
| `qwen/qwen-2-72b-instruct` | qwen/qwen-2-72b-instruct | \$0.9 | \$0.9 | - | - |
| `qwen/qwen-2.5-72b-instruct` | qwen/qwen-2.5-72b-instruct | \$0.12 | \$0.39 | - | - |
| `qwen/qwen-2.5-7b-instruct` | qwen/qwen-2.5-7b-instruct | \$0.05 | \$0.1 | - | - |
| `qwen/qwen-2.5-coder-32b-instruct` | qwen/qwen-2.5-coder-32b-instruct | \$0.07 | \$0.15 | - | - |
| `qwen/qwen-2.5-vl-72b-instruct` | qwen/qwen-2.5-vl-72b-instruct | \$0.6 | \$0.6 | - | - |
| `qwen/qwen-2.5-vl-7b-instruct` | qwen/qwen-2.5-vl-7b-instruct | \$0.2 | \$0.2 | - | - |
| `qwen/qwen-max` | qwen/qwen-max | \$1.6 | \$6.4 | - | - |
| `qwen/qwen-plus` | qwen/qwen-plus | \$0.4 | \$1.2 | - | - |
| `qwen/qwen-turbo` | qwen/qwen-turbo | \$0.05 | \$0.2 | - | - |
| `qwen/qwen-vl-max` | qwen/qwen-vl-max | \$0.8 | \$3.2 | - | - |
| `qwen/qwen-vl-plus` | qwen/qwen-vl-plus | \$0.21 | \$0.63 | - | - |
| `qwen/qwen2.5-coder-7b-instruct` | qwen/qwen2.5-coder-7b-instruct | \$0.2 | \$0.2 | - | - |
| `qwen/qwen2.5-vl-32b-instruct` | qwen/qwen2.5-vl-32b-instruct | \$0.9 | \$0.9 | - | - |
| `qwen/qwen2.5-vl-72b-instruct` | qwen/qwen2.5-vl-72b-instruct | \$0.7 | \$0.7 | - | - |
| `qwen/qwen3-max` | Qwen 3 Max | \$1.2 | \$6 | - | - |
| `qwen/qwq-32b` | qwen/qwq-32b | \$0.15 | \$0.2 | - | - |
| `qwen/qwq-32b-preview` | qwen/qwq-32b-preview | \$0.2 | \$0.2 | - | - |
| `qwen2.5-vl-32b-instruct` | Qwen2.5 VL 32B Instruct | \$0.9 | \$0.9 | - | - |
| `qwen2.5-vl-72b-instruct` | Qwen2.5 VL 72B Instruct | \$0.25 | \$0.75 | - | - |
| `qwen3-14b` | Qwen3 14B | \$0.06 | \$0.24 | - | - |
| `qwen3-235b-a22b` | Qwen3 235B A22B | \$0.13 | \$0.6 | - | - |
| `qwen3-30b-a3b` | Qwen3 30B A3B | \$0.08 | \$0.29 | - | - |
| `qwen3-32b` | Qwen3 32B | \$0.1 | \$0.3 | - | - |
| `qwen3-8b` | Qwen3 8B | \$0.035 | \$0.138 | - | - |
| `qwen3.5-plus-02-15` | Qwen3.5 plus-02-15 | \$0.4 | \$2.4 | - | - |
| `qwq-32b` | QwQ 32B | \$0.15 | \$0.2 | - | - |
| `qwq-32b-preview` | QwQ 32B Preview | \$0.2 | \$0.2 | - | - |
| `r1-1776` | R1 1776 | \$2 | \$8 | - | - |
| `raifle/sorcererlm-8x22b` | raifle/sorcererlm-8x22b | \$4.5 | \$4.5 | - | - |
| `remm-slerp-l2-13b` | ReMM SLERP 13B | \$0.8 | \$1.2 | - | - |
| `rocinante-12b` | Rocinante 12B | \$0.25 | \$0.5 | - | - |
| `sao10k/fimbulvetr-11b-v2` | sao10k/fimbulvetr-11b-v2 | \$0.8 | \$1.2 | - | - |
| `sao10k/l3-euryale-70b` | sao10k/l3-euryale-70b | \$1.48 | \$1.48 | - | - |
| `sao10k/l3-lunaris-8b` | sao10k/l3-lunaris-8b | \$0.02 | \$0.05 | - | - |
| `sao10k/l3.1-euryale-70b` | sao10k/l3.1-euryale-70b | \$0.7 | \$0.8 | - | - |
| `sao10k/l3.3-euryale-70b` | sao10k/l3.3-euryale-70b | \$0.7 | \$0.8 | - | - |
| `scb10x/llama3.1-typhoon2-70b-instruct` | scb10x/llama3.1-typhoon2-70b-instruct | \$0.88 | \$0.88 | - | - |
| `scb10x/llama3.1-typhoon2-8b-instruct` | scb10x/llama3.1-typhoon2-8b-instruct | \$0.18 | \$0.18 | - | - |
| `skyfall-36b-v2` | Skyfall 36B V2 | \$0.5 | \$0.8 | - | - |
| `sonar` | Sonar | \$1 | \$1 | - | - |
| `sonar-deep-research` | Sonar Deep Research | \$2 | \$8 | - | - |
| `sonar-pro` | Sonar Pro | \$3 | \$15 | - | - |
| `sonar-reasoning` | Sonar Reasoning | \$1 | \$5 | - | - |
| `sonar-reasoning-pro` | Sonar Reasoning Pro | \$2 | \$8 | - | - |
| `sophosympatheia/midnight-rose-70b` | sophosympatheia/midnight-rose-70b | \$0.8 | \$0.8 | - | - |
| `sorcererlm-8x22b` | SorcererLM 8x22B | \$4.5 | \$4.5 | - | - |
| `spotlight` | Spotlight | \$0.18 | \$0.18 | - | - |
| `steelskull/l3.3-electra-r1-70b` | steelskull/l3.3-electra-r1-70b | \$0.7 | \$0.95 | - | - |
| `thedrummer/anubis-pro-105b-v1` | thedrummer/anubis-pro-105b-v1 | \$0.8 | \$1 | - | - |
| `thedrummer/rocinante-12b` | thedrummer/rocinante-12b | \$0.25 | \$0.5 | - | - |
| `thedrummer/skyfall-36b-v2` | thedrummer/skyfall-36b-v2 | \$0.5 | \$0.8 | - | - |
| `thedrummer/unslopnemo-12b` | thedrummer/unslopnemo-12b | \$0.5 | \$0.5 | - | - |
| `toppy-m-7b` | Toppy M 7B | \$0.8 | \$1.2 | - | - |
| `undi95/remm-slerp-l2-13b` | undi95/remm-slerp-l2-13b | \$0.5625 | \$1.125 | - | - |
| `undi95/toppy-m-7b` | undi95/toppy-m-7b | \$0.07 | \$0.07 | - | - |
| `unslopnemo-12b` | UnslopNemo 12B | \$0.45 | \$0.45 | - | - |
| `valkyrie-49b-v1` | Valkyrie 49B V1 | \$0.5 | \$0.8 | - | - |
| `virtuoso-large` | Virtuoso Large | \$0.75 | \$1.2 | - | - |
| `virtuoso-medium-v2` | Virtuoso Medium V2 | \$0.5 | \$0.8 | - | - |
| `weaver` | Weaver (alpha) | \$1.5 | \$1.5 | - | - |
| `wizardlm-2-8x22b` | WizardLM-2 8x22B | \$0.48 | \$0.48 | - | - |
| `x-ai/grok-2-1212` | x-ai/grok-2-1212 | \$2 | \$10 | - | - |
| `x-ai/grok-2-vision-1212` | x-ai/grok-2-vision-1212 | \$2 | \$10 | - | - |
| `x-ai/grok-3-beta` | x-ai/grok-3-beta | \$3 | \$15 | - | - |
| `x-ai/grok-3-mini-beta` | x-ai/grok-3-mini-beta | \$0.3 | \$0.5 | - | - |
| `x-ai/grok-4-fast` tiered | x-ai/grok-4-fast | \$0.2 | \$0.5 | \$0.05 | 2,000,000 |
| `x-ai/grok-beta` | x-ai/grok-beta | \$5 | \$15 | - | - |
| `x-ai/grok-code-fast-1` | x-ai/grok-code-fast-1 | \$0.2 | \$1.5 | \$0.02 | 256,000 |
| `x-ai/grok-vision-beta` | x-ai/grok-vision-beta | \$5 | \$15 | - | - |
| `xwin-lm/xwin-lm-70b` | xwin-lm/xwin-lm-70b | \$3.75 | \$3.75 | - | - |
| `yi-large` | Yi Large | \$3 | \$3 | - | - |
| `z-ai/glm-4.5` | z-ai/glm-4.5 | \$0.35 | \$1.55 | - | 131,072 |
| `z-ai/glm-4.6` | z-ai/glm-4.6 | \$0.4 | \$1.75 | - | 202,752 |
* `tiered` the rate changes above a token threshold. The base rate is shown.