Mistral Large 2 (2407) vs o4-mini
Mistral Large 2 (2407) (2024) and o4-mini (2025) are frontier reasoning models from MistralAI and OpenAI. Mistral Large 2 (2407) ships a 128K-token context window, while o4-mini ships a not-yet-sourced context window. On pricing, Mistral Large 2 (2407) costs $0.5/1M input tokens versus $0.5/1M for the alternative. This comparison covers specs, pricing, capabilities, benchmarks, provider availability, and production fit. It focuses on practical selection signals rather than broad model-family marketing.
o4-mini is safer overall; choose Mistral Large 2 (2407) when vision-heavy evaluation matters.
Specs
| Released | 2024-07-23 | 2025-04-16 |
| Context window | 128K | — |
| Parameters | 123B | — |
| Architecture | decoder only | decoder only |
| License | Apache 2.0 | Proprietary |
| Knowledge cutoff | - | 2025-08 |
Pricing and availability
| Mistral Large 2 (2407) | o4-mini | |
|---|---|---|
| Input price | $0.5/1M tokens | $0.5/1M tokens |
| Output price | $1.5/1M tokens | $2/1M tokens |
| Providers |
Capabilities
| Mistral Large 2 (2407) | o4-mini | |
|---|---|---|
| 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 multimodal input: o4-mini, reasoning mode: o4-mini, function calling: o4-mini, tool use: o4-mini, and code execution: o4-mini. Both models share vision 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, Mistral Large 2 (2407) lists $0.5/1M input and $1.5/1M output tokens, while o4-mini lists $0.5/1M 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 $0.15 per million blended tokens. Availability is 3 providers versus 4, so concentration risk also matters.
Choose Mistral Large 2 (2407) when vision-heavy evaluation are central to the workload. Choose o4-mini when coding workflow support 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. It also helps separate model capability from provider packaging, which can change cost and latency.
FAQ
Which is cheaper, Mistral Large 2 (2407) or o4-mini?
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. o4-mini costs $0.5/1M input and $2/1M output tokens. Provider discounts or batch pricing can still change the final bill.
Is Mistral Large 2 (2407) or o4-mini open source?
Mistral Large 2 (2407) is listed under Apache 2.0. o4-mini is listed under Proprietary. 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 o4-mini?
Both Mistral Large 2 (2407) and o4-mini expose vision. The better choice depends on benchmark fit, context budget, pricing, and whether your provider route exposes the same capability surface. Use this as a quick comparison signal, then confirm the provider-specific limits before committing to production.
Which is better for multimodal input, Mistral Large 2 (2407) or o4-mini?
o4-mini 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.
Which is better for reasoning mode, Mistral Large 2 (2407) or o4-mini?
o4-mini has the clearer documented reasoning mode signal in this comparison. If reasoning mode 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 o4-mini?
Mistral Large 2 (2407) is available on Microsoft Foundry, Chutes AI, and SiliconFlow. o4-mini is available on OpenAI API, OpenRouter, OpenAI Batch API, and Replicate API. Provider coverage can affect latency, region availability, compliance posture, and fallback options.
Continue comparing
Last reviewed: 2026-04-24. Data sourced from public model cards and provider documentation.