Mixtral Turbo Chat: pricing, context window and benchmarks
Mixtral Turbo Chat is a open-weight model from Together AI. It offers a 32,768-token context window, costs $3.02 per million input tokens and $11.80 per million output tokens, and averages 71.7 across the index's benchmark suite.
Pricing
Mixtral Turbo Chat costs $3.02 per million input tokens and $11.80 per million output tokens. A blended 3:1 input-to-output mix works out to about $5.21 per million tokens. Cached input is listed at $0.39 per million tokens.
| Item | Price | Notes |
|---|---|---|
| Input | $3.02 | per 1M tokens |
| Output | $11.80 | per 1M tokens |
| Cached input | $0.39 | per 1M tokens |
| Blended 3:1 | $5.21 | estimate per 1M tokens |
| 1M in + 1M out | $14.82 | estimate |
Benchmarks
Scores below are modelled estimates on a 0–100 scale. Use them to compare relative position, not as official vendor results.
| Benchmark | Score | Rank | Percentile | Relative |
|---|---|---|---|---|
| MMLU-Pro | 74.1 | 349 | 42th | |
| GPQA Diamond | 67.2 | 328 | 45th | |
| SWE-bench Verified | 58.2 | 354 | 41th | |
| HumanEval | 77.9 | 290 | 52th | |
| MATH-500 | 74.0 | 348 | 42th | |
| AIME 2025 | 65.3 | 336 | 44th | |
| LiveCodeBench | 64.1 | 315 | 48th | |
| IFEval | 80.2 | 330 | 45th | |
| TruthfulQA | 74.6 | 339 | 44th | |
| HellaSwag | 82.4 | 340 | 43th | |
| MMMU | 70.4 | 287 | 52th | |
| Arena Elo | 1366.8 | 328 | 45th |
What Mixtral Turbo Chat is good for
Mixtral Turbo Chat is an open-weight model, so it can be self-hosted or run through a third-party inference provider. That matters for data residency, fine-tuning and long-run cost control. At $3.02 per million input tokens (hosted list price) and a 32,768-token context window, it is a practical option for teams that want more control than a closed API allows.
Strengths
- Input price of $3.02 per million tokens is at or below the index median.
- Open weights make self-hosting, fine-tuning and data-residency review possible.
- Accepts more than text, including image input where the provider supports it.
Trade-offs
- Average benchmark score is below the index median; test it on your own task.
How it compares
| Model | Provider | Context | Input / 1M | Avg score |
|---|---|---|---|---|
| Llama 3 DeepInfra Base | DeepInfra | 16384 | $2.95 | 71.8 |
| DBRX Chat | Databricks | 65536 | $3.07 | 71.7 |
| Fusion Turbo | OpenRouter | 8192 | $8.55 | 71.7 |
| Mixtral Turbo Chat | Together AI | 32768 | $3.02 | 71.7 |
| OLMo 2 Instruct | Allen Institute for AI | 32768 | $3.03 | 71.7 |
| Qwen3-Max Nano | Alibaba Cloud | 65536 | $8.31 | 71.7 |
FAQ
How much does Mixtral Turbo Chat cost?
Mixtral Turbo Chat is listed at $3.02 per million input tokens and $11.80 per million output tokens. Cached input is $0.39 per million tokens. A blended 3:1 input-to-output mix is about $5.21 per million tokens.
What is the context window of Mixtral Turbo Chat?
Mixtral Turbo Chat has a context window of 32,768 tokens and can emit up to 32,768 output tokens per request in this index.
Is Mixtral Turbo Chat open weights?
Yes. Mixtral Turbo Chat is listed as an open-weight model under a open weights licence.
How does Mixtral Turbo Chat score on benchmarks?
Mixtral Turbo Chat averages 71.7 across the scored benchmarks in this index, ranking #334 of 600 models. Its strongest relative result is Arena Elo at 1366.8.
What is Mixtral Turbo Chat best for?
Mixtral Turbo Chat is an open-weight model, so it can be self-hosted or run through a third-party inference provider. That matters for data residency, fine-tuning and long-run cost control. At $3.02 per million input tokens (hosted list price) and a 32,768-token context window, it is a practical option for teams that want more control than a closed API allows.