Mistral Large 2 (2407) vs Mixtral 8x22B Instruct v0.3
Mistral Large 2 (2407) (2024) and Mixtral 8x22B Instruct v0.3 (2024) are compact production models from MistralAI. Mistral Large 2 (2407) ships a 128K-token context window, while Mixtral 8x22B Instruct v0.3 ships a 64K-token context window. On pricing, Mistral Large 2 (2407) costs $0.5/1M input tokens versus $2/1M for the alternative. This comparison covers specs, pricing, capabilities, benchmarks, provider availability, and production fit.
Mistral Large 2 (2407) is ~300% cheaper at $0.5/1M; pay for Mixtral 8x22B Instruct v0.3 only for provider fit.
Specs
| Released | 2024-07-23 | 2024-07-01 |
| Context window | 128K | 64K |
| Parameters | 123B | 8x22B |
| Architecture | decoder only | mixture of experts |
| License | Apache 2.0 | Apache 2.0 |
| Knowledge cutoff | - | - |
Pricing and availability
| Mistral Large 2 (2407) | Mixtral 8x22B Instruct v0.3 | |
|---|---|---|
| Input price | $0.5/1M tokens | $2/1M tokens |
| Output price | $1.5/1M tokens | $2/1M tokens |
| Providers |
Capabilities
| Mistral Large 2 (2407) | Mixtral 8x22B Instruct v0.3 | |
|---|---|---|
| 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 (2407), function calling: Mixtral 8x22B Instruct v0.3, and structured outputs: Mistral Large 2 (2407). 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, Mistral Large 2 (2407) lists $0.5/1M input and $1.5/1M output tokens, while Mixtral 8x22B Instruct v0.3 lists $2/1M input and $2/1M output tokens on the cheapest tracked provider. A 70/30 input-output blend puts Mistral Large 2 (2407) lower by about $1.2 per million blended tokens. Availability is 3 providers versus 1, so concentration risk also matters.
Choose Mistral Large 2 (2407) when long-context analysis, larger context windows, and lower input-token cost are central to the workload. Choose Mixtral 8x22B Instruct v0.3 when provider fit 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, Mistral Large 2 (2407) or Mixtral 8x22B Instruct v0.3?
Mistral Large 2 (2407) supports 128K tokens, while Mixtral 8x22B Instruct v0.3 supports 64K tokens. That gap matters most for long documents, large codebases, retrieval-heavy agents, and conversations where earlier context must remain visible.
Which is cheaper, Mistral Large 2 (2407) or Mixtral 8x22B Instruct v0.3?
Mistral Large 2 (2407) is cheaper on tracked token pricing. Mistral Large 2 (2407) costs $0.5/1M input and $1.5/1M output tokens. Mixtral 8x22B Instruct v0.3 costs $2/1M input and $2/1M output tokens. Provider discounts or batch pricing can still change the final bill.
Is Mistral Large 2 (2407) or Mixtral 8x22B Instruct v0.3 open source?
Mistral Large 2 (2407) is listed under Apache 2.0. Mixtral 8x22B Instruct v0.3 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, Mistral Large 2 (2407) or Mixtral 8x22B Instruct v0.3?
Mistral Large 2 (2407) 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 function calling, Mistral Large 2 (2407) or Mixtral 8x22B Instruct v0.3?
Mixtral 8x22B Instruct v0.3 has the clearer documented function calling signal in this comparison. If function calling is mission-critical, validate it against the provider endpoint because model-level support and API-level exposure can differ.
Where can I run Mistral Large 2 (2407) and Mixtral 8x22B Instruct v0.3?
Mistral Large 2 (2407) is available on Microsoft Foundry, Chutes AI, and SiliconFlow. Mixtral 8x22B Instruct v0.3 is available on Replicate API. Provider coverage can affect latency, region availability, compliance posture, and fallback options.
Continue comparing
Last reviewed: 2026-04-23. Data sourced from public model cards and provider documentation.