> ## 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.

# AWS Bedrock LLM pricing

> 69 LLM model(s) from AWS Bedrock, 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/aws.yml`](https://github.com/mahimailabs/voice-prices/blob/main/prices/providers/aws.yml).

| Model                                                         | Name                                               | Input \$ / Mtok | Output \$ / Mtok | Cached input \$ / Mtok |
| ------------------------------------------------------------- | -------------------------------------------------- | --------------: | ---------------: | ---------------------: |
| `amazon.nova-lite-v1:0`                                       | Nova Lite                                          |          \$0.06 |           \$0.24 |                \$0.015 |
| `amazon.nova-micro-v1:0`                                      | Nova Micro                                         |         \$0.035 |           \$0.14 |              \$0.00875 |
| `amazon.nova-premier-v1:0`                                    | Nova Premier                                       |           \$2.5 |           \$12.5 |                \$0.625 |
| `amazon.nova-pro-v1:0`                                        | Nova Pro                                           |           \$0.8 |            \$3.2 |                  \$0.2 |
| `amazon.titan-embed-text-v1`                                  | Titan Embeddings G1 - Text                         |           \$0.1 |                - |                      - |
| `amazon.titan-text-express-v1`                                | Titan Text G1 - Express                            |           \$0.2 |            \$0.6 |                      - |
| `amazon.titan-text-lite-v1`                                   | Titan Text G1 - Lite                               |          \$0.15 |            \$0.2 |                      - |
| `deepseek.r1-v1:0`                                            | DeepSeek-R1                                        |          \$1.35 |            \$5.4 |                      - |
| `global.anthropic.claude-haiku-4-5-20251001-v1:0`             | global.anthropic.claude-haiku-4-5-20251001-v1:0    |             \$1 |              \$5 |                  \$0.1 |
| `global.anthropic.claude-opus-4-5-v1:0`                       | global.anthropic.claude-opus-4-5-v1:0              |             \$5 |             \$25 |                  \$0.5 |
| `global.anthropic.claude-opus-4-6-v1:0` <sup>tiered</sup>     | global.anthropic.claude-opus-4-6-v1:0              |             \$5 |             \$25 |                  \$0.5 |
| `global.anthropic.claude-opus-4-7-v1:0`                       | global.anthropic.claude-opus-4-7-v1:0              |             \$5 |             \$25 |                  \$0.5 |
| `global.anthropic.claude-opus-4-8-v1:0`                       | global.anthropic.claude-opus-4-8-v1:0              |             \$5 |             \$25 |                  \$0.5 |
| `global.anthropic.claude-sonnet-4-20250514-v1:0`              | global.anthropic.claude-sonnet-4-20250514-v1:0     |             \$3 |             \$15 |                  \$0.3 |
| `global.anthropic.claude-sonnet-4-5-20250929-v1:0`            | global.anthropic.claude-sonnet-4-5-20250929-v1:0   |             \$3 |             \$15 |                  \$0.3 |
| `global.anthropic.claude-sonnet-4-6-v1:0` <sup>tiered</sup>   | global.anthropic.claude-sonnet-4-6-v1:0            |             \$3 |             \$15 |                  \$0.3 |
| `google.gemma-3-12b-it`                                       | Gemma 3 12B IT                                     |          \$0.09 |           \$0.29 |                      - |
| `google.gemma-3-27b-it`                                       | Gemma 3 27B IT                                     |          \$0.23 |           \$0.38 |                      - |
| `google.gemma-3-4b-it`                                        | Gemma 3 4B IT                                      |          \$0.04 |           \$0.08 |                      - |
| `meta.llama3-1-70b-instruct-v1:0`                             | Llama 3.1 70B Instruct                             |          \$0.72 |           \$0.72 |                      - |
| `meta.llama3-1-8b-instruct-v1:0`                              | Llama 3.1 8B Instruct                              |          \$0.22 |           \$0.22 |                      - |
| `meta.llama3-2-11b-instruct-v1:0`                             | Llama 3.2 11B Instruct                             |          \$0.16 |           \$0.16 |                      - |
| `meta.llama3-2-1b-instruct-v1:0`                              | Llama 3.2 1B Instruct                              |           \$0.1 |            \$0.1 |                      - |
| `meta.llama3-2-3b-instruct-v1:0`                              | Llama 3.2 3B Instruct                              |          \$0.15 |           \$0.15 |                      - |
| `meta.llama3-2-90b-instruct-v1:0`                             | Llama 3.2 90B Instruct                             |          \$0.72 |           \$0.72 |                      - |
| `meta.llama3-3-70b-instruct-v1:0`                             | Llama 3.3 70B Instruct                             |          \$0.72 |           \$0.72 |                      - |
| `meta.llama3-70b-instruct-v1:0`                               | Llama 3 70B Instruct                               |          \$2.65 |            \$3.5 |                      - |
| `meta.llama3-8b-instruct-v1:0`                                | Llama 3 8B Instruct                                |           \$0.3 |            \$0.6 |                      - |
| `meta.llama4-maverick-17b-instruct-v1:0`                      | Llama 4 Maverick 17B Instruct                      |          \$0.24 |           \$0.97 |                      - |
| `meta.llama4-scout-17b-instruct-v1:0`                         | Llama 4 Scout 17B Instruct                         |          \$0.17 |           \$0.66 |                      - |
| `mistral.devstral-2-123b`                                     | Devstral 2 123B                                    |           \$0.4 |              \$2 |                      - |
| `mistral.magistral-small-2509`                                | Magistral Small 2509                               |           \$0.5 |            \$1.5 |                      - |
| `mistral.ministral-3-14b-instruct`                            | Ministral 14B 3.0                                  |           \$0.2 |            \$0.2 |                      - |
| `mistral.ministral-3-3b-instruct`                             | Ministral 3B 3.0                                   |           \$0.1 |            \$0.1 |                      - |
| `mistral.ministral-3-8b-instruct`                             | Ministral 8B 3.0                                   |          \$0.15 |           \$0.15 |                      - |
| `mistral.mistral-7b-instruct-v0:2`                            | Mistral 7B Instruct                                |          \$0.15 |            \$0.2 |                      - |
| `mistral.mistral-large-2402-v1:0`                             | Mistral Large (24.02)                              |             \$4 |             \$12 |                      - |
| `mistral.mistral-large-3-675b-instruct`                       | Mistral Large 3                                    |           \$0.5 |            \$1.5 |                      - |
| `mistral.mistral-small-2402-v1:0`                             | Mistral Small (24.02)                              |             \$1 |              \$3 |                      - |
| `mistral.mixtral-8x7b-instruct-v0:1`                          | Mixtral 8x7B Instruct                              |          \$0.45 |            \$0.7 |                      - |
| `mistral.pixtral-large-2502-v1:0`                             | Pixtral Large (25.02)                              |             \$2 |              \$6 |                      - |
| `mistral.voxtral-mini-3b-2507`                                | Voxtral Mini 3B 2507                               |          \$0.04 |           \$0.04 |                      - |
| `mistral.voxtral-small-24b-2507`                              | Voxtral Small 24B 2507                             |           \$0.1 |            \$0.3 |                      - |
| `nvidia.nemotron-nano-3-30b:0`                                | Nemotron 3 Nano 30B                                |          \$0.06 |           \$0.24 |                      - |
| `nvidia.nemotron-nano-9b-v2:0`                                | Nemotron 2 Nano 9B                                 |          \$0.06 |           \$0.23 |                      - |
| `nvidia.nemotron-super-3-120b:0`                              | Nemotron 3 Super 120B                              |          \$0.15 |           \$0.65 |                      - |
| `openai.gpt-oss-120b-1:0`                                     | gpt-oss-120b                                       |          \$0.15 |            \$0.6 |                      - |
| `openai.gpt-oss-20b-1:0`                                      | gpt-oss-20b                                        |          \$0.07 |            \$0.3 |                      - |
| `qwen.qwen3-32b-v1:0`                                         | Qwen3 32B (dense)                                  |          \$0.15 |            \$0.6 |                      - |
| `qwen.qwen3-coder-30b-a3b-v1:0`                               | Qwen3-Coder-30B-A3B-Instruct                       |          \$0.15 |            \$0.6 |                      - |
| `qwen.qwen3-coder-480b-a35b-v1:0`                             | Qwen3-Coder-480B-A35B-Instruct                     |          \$0.45 |            \$1.8 |                      - |
| `qwen.qwen3-vl-235b-a22b-v1:0`                                | Qwen3-VL-235B-A22B-Instruct                        |          \$0.53 |           \$2.66 |                      - |
| `regional.anthropic.claude-3-5-haiku-20241022-v1:0`           | regional.anthropic.claude-3-5-haiku-20241022-v1:0  |           \$0.8 |              \$4 |                 \$0.08 |
| `regional.anthropic.claude-3-5-sonnet-20240620-v1:0`          | regional.anthropic.claude-3-5-sonnet-20240620-v1:0 |             \$3 |             \$15 |                  \$0.3 |
| `regional.anthropic.claude-3-5-sonnet-20241022-v2:0`          | regional.anthropic.claude-3-5-sonnet-20241022-v2:0 |             \$3 |             \$15 |                  \$0.3 |
| `regional.anthropic.claude-3-7-sonnet-20250219-v1:0`          | regional.anthropic.claude-3-7-sonnet-20250219-v1:0 |             \$3 |             \$15 |                  \$0.3 |
| `regional.anthropic.claude-3-haiku-20240307-v1:0`             | regional.anthropic.claude-3-haiku-20240307-v1:0    |          \$0.25 |           \$1.25 |                      - |
| `regional.anthropic.claude-3-opus-20240229-v1:0`              | regional.anthropic.claude-3-opus-20240229-v1:0     |            \$15 |             \$75 |                      - |
| `regional.anthropic.claude-3-sonnet-20240229-v1:0`            | regional.anthropic.claude-3-sonnet-20240229-v1:0   |             \$3 |             \$15 |                  \$0.3 |
| `regional.anthropic.claude-haiku-4-5-20251001-v1:0`           | regional.anthropic.claude-haiku-4-5-20251001-v1:0  |           \$1.1 |            \$5.5 |                 \$0.11 |
| `regional.anthropic.claude-opus-4-1-20250805-v1:0`            | regional.anthropic.claude-opus-4-1-20250805-v1:0   |            \$15 |             \$75 |                  \$1.5 |
| `regional.anthropic.claude-opus-4-20250514-v1:0`              | regional.anthropic.claude-opus-4-20250514-v1:0     |            \$15 |             \$75 |                  \$1.5 |
| `regional.anthropic.claude-opus-4-5-v1:0`                     | regional.anthropic.claude-opus-4-5-v1:0            |           \$5.5 |           \$27.5 |                 \$0.55 |
| `regional.anthropic.claude-opus-4-6-v1:0` <sup>tiered</sup>   | regional.anthropic.claude-opus-4-6-v1:0            |           \$5.5 |           \$27.5 |                 \$0.55 |
| `regional.anthropic.claude-opus-4-7-v1:0`                     | regional.anthropic.claude-opus-4-7-v1:0            |           \$5.5 |           \$27.5 |                 \$0.55 |
| `regional.anthropic.claude-opus-4-8-v1:0`                     | regional.anthropic.claude-opus-4-8-v1:0            |           \$5.5 |           \$27.5 |                 \$0.55 |
| `regional.anthropic.claude-sonnet-4-20250514-v1:0`            | regional.anthropic.claude-sonnet-4-20250514-v1:0   |             \$3 |             \$15 |                  \$0.3 |
| `regional.anthropic.claude-sonnet-4-5-20250929-v1:0`          | regional.anthropic.claude-sonnet-4-5-20250929-v1:0 |           \$3.3 |           \$16.5 |                 \$0.33 |
| `regional.anthropic.claude-sonnet-4-6-v1:0` <sup>tiered</sup> | regional.anthropic.claude-sonnet-4-6-v1:0          |           \$3.3 |           \$16.5 |                 \$0.33 |

* `tiered` the rate changes above a token threshold. The base rate is shown.