> ## 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.

# Novita LLM pricing

> 34 LLM model(s) from Novita, 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/novita.yml`](https://github.com/mahimailabs/voice-prices/blob/main/prices/providers/novita.yml).

| Model                                         | Name                                        | Input \$ / Mtok | Output \$ / Mtok |
| --------------------------------------------- | ------------------------------------------- | --------------: | ---------------: |
| `Sao10K/L3-8B-Stheno-v3.2`                    | Sao10K/L3-8B-Stheno-v3.2                    |          \$0.05 |           \$0.05 |
| `cognitivecomputations/dolphin-mixtral-8x22b` | cognitivecomputations/dolphin-mixtral-8x22b |           \$0.9 |            \$0.9 |
| `deepseek/deepseek-r1`                        | deepseek/deepseek-r1                        |             \$4 |              \$4 |
| `deepseek/deepseek-r1-distill-llama-70b`      | deepseek/deepseek-r1-distill-llama-70b      |           \$0.8 |            \$0.8 |
| `deepseek/deepseek-r1-distill-llama-8b`       | deepseek/deepseek-r1-distill-llama-8b       |          \$0.04 |           \$0.04 |
| `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       |           \$0.3 |            \$0.3 |
| `deepseek/deepseek_v3`                        | deepseek/deepseek\_v3                       |          \$0.89 |           \$0.89 |
| `google/gemma-2-9b-it`                        | google/gemma-2-9b-it                        |          \$0.08 |           \$0.08 |
| `gryphe/mythomax-l2-13b`                      | gryphe/mythomax-l2-13b                      |          \$0.09 |           \$0.09 |
| `jondurbin/airoboros-l2-70b`                  | jondurbin/airoboros-l2-70b                  |           \$0.5 |            \$0.5 |
| `meta-llama/llama-3-70b-instruct`             | meta-llama/llama-3-70b-instruct             |          \$0.51 |           \$0.74 |
| `meta-llama/llama-3-8b-instruct`              | meta-llama/llama-3-8b-instruct              |          \$0.04 |           \$0.04 |
| `meta-llama/llama-3.1-70b-instruct`           | meta-llama/llama-3.1-70b-instruct           |          \$0.34 |           \$0.39 |
| `meta-llama/llama-3.1-8b-instruct`            | meta-llama/llama-3.1-8b-instruct            |          \$0.05 |           \$0.05 |
| `meta-llama/llama-3.1-8b-instruct-bf16`       | meta-llama/llama-3.1-8b-instruct-bf16       |          \$0.06 |           \$0.06 |
| `meta-llama/llama-3.2-11b-vision-instruct`    | meta-llama/llama-3.2-11b-vision-instruct    |          \$0.06 |           \$0.06 |
| `meta-llama/llama-3.2-1b-instruct`            | meta-llama/llama-3.2-1b-instruct            |          \$0.02 |           \$0.02 |
| `meta-llama/llama-3.2-3b-instruct`            | meta-llama/llama-3.2-3b-instruct            |          \$0.03 |           \$0.05 |
| `meta-llama/llama-3.3-70b-instruct`           | meta-llama/llama-3.3-70b-instruct           |          \$0.39 |           \$0.39 |
| `microsoft/wizardlm-2-8x22b`                  | microsoft/wizardlm-2-8x22b                  |          \$0.62 |           \$0.62 |
| `mistralai/mistral-7b-instruct`               | mistralai/mistral-7b-instruct               |         \$0.059 |          \$0.059 |
| `mistralai/mistral-nemo`                      | mistralai/mistral-nemo                      |          \$0.17 |           \$0.17 |
| `nousresearch/hermes-2-pro-llama-3-8b`        | nousresearch/hermes-2-pro-llama-3-8b        |          \$0.14 |           \$0.14 |
| `nousresearch/nous-hermes-llama2-13b`         | nousresearch/nous-hermes-llama2-13b         |          \$0.17 |           \$0.17 |
| `openchat/openchat-7b`                        | openchat/openchat-7b                        |          \$0.06 |           \$0.06 |
| `qwen/qwen-2-7b-instruct`                     | qwen/qwen-2-7b-instruct                     |         \$0.054 |          \$0.054 |
| `qwen/qwen-2-vl-72b-instruct`                 | qwen/qwen-2-vl-72b-instruct                 |          \$0.45 |           \$0.45 |
| `qwen/qwen-2.5-72b-instruct`                  | qwen/qwen-2.5-72b-instruct                  |          \$0.38 |            \$0.4 |
| `sao10k/l3-70b-euryale-v2.1`                  | sao10k/l3-70b-euryale-v2.1                  |          \$1.48 |           \$1.48 |
| `sao10k/l3-8b-lunaris`                        | sao10k/l3-8b-lunaris                        |          \$0.05 |           \$0.05 |
| `sao10k/l31-70b-euryale-v2.2`                 | sao10k/l31-70b-euryale-v2.2                 |          \$1.48 |           \$1.48 |
| `sophosympatheia/midnight-rose-70b`           | sophosympatheia/midnight-rose-70b           |           \$0.8 |            \$0.8 |
| `teknium/openhermes-2.5-mistral-7b`           | teknium/openhermes-2.5-mistral-7b           |          \$0.17 |           \$0.17 |