Mistral Large 2 vs o4-mini
Mistral Large 2 (2025) and o4-mini (2025) are frontier reasoning models from MistralAI and OpenAI. Mistral Large 2 ships a 128K-token context window, while o4-mini ships a not-yet-sourced context window. On MMLU PRO, o4-mini leads by 13.5 pts. On pricing, Mistral Large 2 costs $0.48/1M input tokens versus $0.5/1M for the alternative. This comparison covers specs, pricing, capabilities, benchmarks, provider availability, and production fit.
Pick o4-mini for general evaluation; Mistral Large 2 is better when vision-heavy evaluation matters more.
Specs
| Released | 2025-11-25 | 2025-04-16 |
| Context window | 128K | — |
| Parameters | 123B | — |
| Architecture | decoder only | decoder only |
| License | True | Proprietary |
| Knowledge cutoff | 2025-07 | 2025-08 |
Pricing and availability
| Mistral Large 2 | o4-mini | |
|---|---|---|
| Input price | $0.48/1M tokens | $0.5/1M tokens |
| Output price | $2.4/1M tokens | $2/1M tokens |
| Providers |
Capabilities
| Mistral Large 2 | o4-mini | |
|---|---|---|
| Vision | ||
| Multimodal | ||
| Reasoning | ||
| Function calling | ||
| Tool use | ||
| Structured outputs | ||
| Code execution |
Benchmarks
| Benchmark | Mistral Large 2 | o4-mini |
|---|---|---|
| MMLU PRO | 69.7 | 83.2 |
| BFCL | 38.4 | 53.2 |
Deep dive
On shared benchmark coverage, MMLU PRO has Mistral Large 2 at 69.7 and o4-mini at 83.2, with o4-mini ahead by 13.5 points; BFCL has Mistral Large 2 at 38.4 and o4-mini at 53.2, with o4-mini ahead by 14.9 points. The largest visible gap is 14.9 points on BFCL, 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: o4-mini and code execution: o4-mini. 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, Mistral Large 2 lists $0.48/1M input and $2.4/1M 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 o4-mini lower by about $0.11 per million blended tokens. Availability is 4 providers versus 4, so concentration risk also matters.
Choose Mistral Large 2 when vision-heavy evaluation and lower input-token cost are central to the workload. Choose o4-mini when coding workflow support are more important. For production, rerun your own prompts through the exact provider, region, and tool stack you plan to ship.
FAQ
Which is cheaper, Mistral Large 2 or o4-mini?
Mistral Large 2 is cheaper on tracked token pricing. Mistral Large 2 costs $0.48/1M input and $2.4/1M 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 or o4-mini open source?
Mistral Large 2 is listed under True. 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 or o4-mini?
Both Mistral Large 2 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 or o4-mini?
Both Mistral Large 2 and o4-mini expose multimodal input. 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 reasoning mode, Mistral Large 2 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 and o4-mini?
Mistral Large 2 is available on OpenRouter, IBM watsonx, AWS Bedrock, and Mistral AI Studio. 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.
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Last reviewed: 2026-04-24. Data sourced from public model cards and provider documentation.