Claude 3.7 Sonnet vs Mistral Large 2
Claude 3.7 Sonnet (2024) and Mistral Large 2 (2025) are frontier reasoning models from Anthropic and MistralAI. Claude 3.7 Sonnet ships a 200K-token context window, while Mistral Large 2 ships a 128K-token context window. On MMLU PRO, Claude 3.7 Sonnet leads by 10.6 pts. On pricing, Mistral Large 2 costs $0.48/1M input tokens versus $3/1M for the alternative. This comparison covers specs, pricing, capabilities, benchmarks, provider availability, and production fit.
Mistral Large 2 is ~525% cheaper at $0.48/1M; pay for Claude 3.7 Sonnet only for coding workflow support.
Specs
| Released | 2024-03-04 | 2025-11-25 |
| Context window | 200K | 128K |
| Parameters | — | 123B |
| Architecture | decoder only | decoder only |
| License | Proprietary | True |
| Knowledge cutoff | 2024-11 | 2025-07 |
Pricing and availability
| Claude 3.7 Sonnet | Mistral Large 2 | |
|---|---|---|
| Input price | $3/1M tokens | $0.48/1M tokens |
| Output price | $15/1M tokens | $2.4/1M tokens |
| Providers |
Capabilities
| Claude 3.7 Sonnet | Mistral Large 2 | |
|---|---|---|
| Vision | ||
| Multimodal | ||
| Reasoning | ||
| Function calling | ||
| Tool use | ||
| Structured outputs | ||
| Code execution |
Benchmarks
| Benchmark | Claude 3.7 Sonnet | Mistral Large 2 |
|---|---|---|
| MMLU PRO | 80.3 | 69.7 |
| HumanEval | 93.0 | 84.8 |
Deep dive
On shared benchmark coverage, MMLU PRO has Claude 3.7 Sonnet at 80.3 and Mistral Large 2 at 69.7, with Claude 3.7 Sonnet ahead by 10.6 points; HumanEval has Claude 3.7 Sonnet at 93 and Mistral Large 2 at 84.8, with Claude 3.7 Sonnet ahead by 8.2 points. The largest visible gap is 10.6 points on MMLU PRO, 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 reasoning mode: Claude 3.7 Sonnet and code execution: Claude 3.7 Sonnet. Both models share vision, multimodal input, function calling, and tool use, 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 Mistral Large 2 lists $0.48/1M input and $2.4/1M output tokens on the cheapest tracked provider. A 70/30 input-output blend puts Mistral Large 2 lower by about $5.54 per million blended tokens. Availability is 6 providers versus 4, so concentration risk also matters.
Choose Claude 3.7 Sonnet when coding workflow support, larger context windows, and broader provider choice are central to the workload. Choose Mistral Large 2 when vision-heavy evaluation and lower input-token cost 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 Mistral Large 2?
Claude 3.7 Sonnet supports 200K tokens, while Mistral Large 2 supports 128K 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 Mistral Large 2?
Mistral Large 2 is cheaper on tracked token pricing. Claude 3.7 Sonnet costs $3/1M input and $15/1M output tokens. Mistral Large 2 costs $0.48/1M input and $2.4/1M output tokens. Provider discounts or batch pricing can still change the final bill.
Is Claude 3.7 Sonnet or Mistral Large 2 open source?
Claude 3.7 Sonnet is listed under Proprietary. Mistral Large 2 is listed under True. 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 Mistral Large 2?
Both Claude 3.7 Sonnet and Mistral Large 2 expose vision. The better choice depends on benchmark fit, context budget, pricing, and whether your provider route exposes the same capability surface.
Which is better for multimodal input, Claude 3.7 Sonnet or Mistral Large 2?
Both Claude 3.7 Sonnet and Mistral Large 2 expose multimodal input. The better choice depends on benchmark fit, context budget, pricing, and whether your provider route exposes the same capability surface.
Where can I run Claude 3.7 Sonnet and Mistral Large 2?
Claude 3.7 Sonnet is available on Snowflake Cortex, GCP Vertex AI, Replicate API, OpenRouter, and AWS Bedrock. Mistral Large 2 is available on OpenRouter, IBM watsonx, AWS Bedrock, and Mistral AI Studio. 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.