Grok Code Fast 1 vs Mistral Large 2
Grok Code Fast 1 (2025) and Mistral Large 2 (2025) are agentic coding models from xAI and MistralAI. Grok Code Fast 1 ships a 262K-token context window, while Mistral Large 2 ships a 128K-token context window. On pricing, Grok Code Fast 1 costs $0.2/1M input tokens versus $0.48/1M for the alternative. This comparison covers specs, pricing, capabilities, benchmarks, provider availability, and production fit.
Grok Code Fast 1 is ~140% cheaper at $0.2/1M; pay for Mistral Large 2 only for vision-heavy evaluation.
Specs
| Released | 2025-08-27 | 2025-11-25 |
| Context window | 262K | 128K |
| Parameters | 314B | 123B |
| Architecture | mixture of experts | decoder only |
| License | Proprietary | True |
| Knowledge cutoff | - | 2025-07 |
Pricing and availability
| Grok Code Fast 1 | Mistral Large 2 | |
|---|---|---|
| Input price | $0.2/1M tokens | $0.48/1M tokens |
| Output price | $1.5/1M tokens | $2.4/1M tokens |
| Providers |
Capabilities
| Grok Code Fast 1 | Mistral Large 2 | |
|---|---|---|
| Vision | ||
| Multimodal | ||
| Reasoning | ||
| Function calling | ||
| Tool use | ||
| Structured outputs | ||
| Code execution |
Benchmarks
No shared benchmark rows are currently sourced for this pair.
Deep dive
The capability footprint differs most on vision: Mistral Large 2 and multimodal input: Mistral Large 2. Both models share function calling, tool use, and structured outputs, 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, Grok Code Fast 1 lists $0.2/1M input and $1.5/1M 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 Grok Code Fast 1 lower by about $0.47 per million blended tokens. Availability is 1 providers versus 4, so concentration risk also matters.
Choose Grok Code Fast 1 when coding workflow support, larger context windows, and lower input-token cost are central to the workload. Choose Mistral Large 2 when vision-heavy evaluation 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. This keeps the decision grounded in measurable tradeoffs instead of brand-level assumptions.
FAQ
Which has a larger context window, Grok Code Fast 1 or Mistral Large 2?
Grok Code Fast 1 supports 262K 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, Grok Code Fast 1 or Mistral Large 2?
Grok Code Fast 1 is cheaper on tracked token pricing. Grok Code Fast 1 costs $0.2/1M input and $1.5/1M 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 Grok Code Fast 1 or Mistral Large 2 open source?
Grok Code Fast 1 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, Grok Code Fast 1 or Mistral Large 2?
Mistral Large 2 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, Grok Code Fast 1 or Mistral Large 2?
Mistral Large 2 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 Grok Code Fast 1 and Mistral Large 2?
Grok Code Fast 1 is available on OpenRouter. 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.