Claude 3.7 Sonnet vs Mixtral 8x7B
Claude 3.7 Sonnet (2024) and Mixtral 8x7B (2023) are frontier reasoning models from Anthropic and MistralAI. Claude 3.7 Sonnet ships a 200K-token context window, while Mixtral 8x7B ships a 32K-token context window. On HumanEval, Claude 3.7 Sonnet leads by 12.5 pts. On pricing, Mixtral 8x7B costs $0.15/1M input tokens versus $3/1M for the alternative. This comparison covers specs, pricing, capabilities, benchmarks, provider availability, and production fit.
Mixtral 8x7B is ~1900% cheaper at $0.15/1M; pay for Claude 3.7 Sonnet only for coding workflow support.
Specs
| Released | 2024-03-04 | 2023-12-11 |
| Context window | 200K | 32K |
| Parameters | — | 8x7B |
| Architecture | decoder only | mixture of experts |
| License | Proprietary | Apache 2.0 |
| Knowledge cutoff | 2024-11 | 2023-12 |
Pricing and availability
| Claude 3.7 Sonnet | Mixtral 8x7B | |
|---|---|---|
| Input price | $3/1M tokens | $0.15/1M tokens |
| Output price | $15/1M tokens | $0.45/1M tokens |
| Providers |
Capabilities
| Claude 3.7 Sonnet | Mixtral 8x7B | |
|---|---|---|
| Vision | ||
| Multimodal | ||
| Reasoning | ||
| Function calling | ||
| Tool use | ||
| Structured outputs | ||
| Code execution |
Benchmarks
| Benchmark | Claude 3.7 Sonnet | Mixtral 8x7B |
|---|---|---|
| HumanEval | 93.0 | 80.5 |
Deep dive
On shared benchmark coverage, HumanEval has Claude 3.7 Sonnet at 93 and Mixtral 8x7B at 80.5, with Claude 3.7 Sonnet ahead by 12.5 points. The largest visible gap is 12.5 points on HumanEval, which matters most when that benchmark mirrors your workload. Treat isolated benchmark wins as directional, because provider routing, prompt style, and tool access can move real application results.
The capability footprint differs most on vision: Claude 3.7 Sonnet, multimodal input: Claude 3.7 Sonnet, reasoning mode: Claude 3.7 Sonnet, function calling: Claude 3.7 Sonnet, tool use: Claude 3.7 Sonnet, structured outputs: Claude 3.7 Sonnet, and code execution: Claude 3.7 Sonnet. Both models share the core language-model surface, so the practical split is not just feature count. Use those differences to decide whether the page is about raw model quality, agentic coding support, multimodal ingestion, or predictable structured API behavior.
For cost, Claude 3.7 Sonnet lists $3/1M input and $15/1M output tokens, while Mixtral 8x7B lists $0.15/1M input and $0.45/1M output tokens on the cheapest tracked provider. A 70/30 input-output blend puts Mixtral 8x7B lower by about $6.36 per million blended tokens. Availability is 6 providers versus 18, so concentration risk also matters.
Choose Claude 3.7 Sonnet when coding workflow support and larger context windows are central to the workload. Choose Mixtral 8x7B when provider fit, lower input-token cost, and broader provider choice are more important. For production, rerun your own prompts through the exact provider, region, and tool stack you plan to ship.
FAQ
Which has a larger context window, Claude 3.7 Sonnet or Mixtral 8x7B?
Claude 3.7 Sonnet supports 200K tokens, while Mixtral 8x7B supports 32K tokens. That gap matters most for long documents, large codebases, retrieval-heavy agents, and conversations where earlier context must remain visible.
Which is cheaper, Claude 3.7 Sonnet or Mixtral 8x7B?
Mixtral 8x7B is cheaper on tracked token pricing. Claude 3.7 Sonnet costs $3/1M input and $15/1M output tokens. Mixtral 8x7B costs $0.15/1M input and $0.45/1M output tokens. Provider discounts or batch pricing can still change the final bill.
Is Claude 3.7 Sonnet or Mixtral 8x7B open source?
Claude 3.7 Sonnet is listed under Proprietary. Mixtral 8x7B is listed under Apache 2.0. License labels affect whether you can self-host, redistribute weights, or rely only on hosted APIs, so confirm the upstream license before deployment.
Which is better for vision, Claude 3.7 Sonnet or Mixtral 8x7B?
Claude 3.7 Sonnet has the clearer documented vision signal in this comparison. If vision is mission-critical, validate it against the provider endpoint because model-level support and API-level exposure can differ.
Which is better for multimodal input, Claude 3.7 Sonnet or Mixtral 8x7B?
Claude 3.7 Sonnet has the clearer documented multimodal input signal in this comparison. If multimodal input is mission-critical, validate it against the provider endpoint because model-level support and API-level exposure can differ.
Where can I run Claude 3.7 Sonnet and Mixtral 8x7B?
Claude 3.7 Sonnet is available on Snowflake Cortex, GCP Vertex AI, Replicate API, OpenRouter, and AWS Bedrock. Mixtral 8x7B is available on Databricks Foundation Model Serving, NVIDIA NIM, GCP Vertex AI, AWS Bedrock, and OctoAI API. Provider coverage can affect latency, region availability, compliance posture, and fallback options.
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Last reviewed: 2026-04-24. Data sourced from public model cards and provider documentation.