Xiaomi MiMo-V2.5 vs Mistral Large 2
Xiaomi MiMo-V2.5 (2026) and Mistral Large 2 (2025) are frontier reasoning models from Xiaomi and MistralAI. Xiaomi MiMo-V2.5 ships a 1.05m-token context window, while Mistral Large 2 ships a 128k-token context window. On MMLU PRO, Xiaomi MiMo-V2.5 leads by 15.2 pts. On pricing, Xiaomi MiMo-V2.5 costs $0.14/1M input tokens versus $0.48/1M for the alternative. This comparison covers specs, pricing, API access, capabilities, benchmarks, input and output token costs, and production fit for coding and agent workloads.
Xiaomi MiMo-V2.5 is ~243% cheaper at $0.14/1M; pay for Mistral Large 2 only for vision-heavy evaluation.
Decision scorecard
Local evidence first| Signal | Xiaomi MiMo-V2.5 | Mistral Large 2 |
|---|---|---|
| Best for | reasoning-heavy apps, multimodal apps, and tool-calling agents | multimodal apps, tool-calling agents, and provider-routed production |
| Decision fit | RAG, Agents, and Long context | Coding, RAG, and Agents |
| Context window | 1.05m | 128k |
| Cheapest output | $0.28/1M tokens | $2.40/1M tokens |
| Provider routes | 2 tracked | 4 tracked |
| Shared benchmarks | MMLU PRO leader | 1 rows |
Decision tradeoffs
- Xiaomi MiMo-V2.5 holds a shared-benchmark lead on MMLU PRO, ahead by 15.2 points.
- Xiaomi MiMo-V2.5 has the larger context window for long prompts, retrieval packs, or transcript analysis.
- Xiaomi MiMo-V2.5 has the lower cheapest tracked output price at $0.28/1M tokens.
- Xiaomi MiMo-V2.5 uniquely exposes Reasoning in local model data.
- Local decision data tags Xiaomi MiMo-V2.5 for RAG, Agents, and Long context.
- Mistral Large 2 has broader tracked provider coverage for fallback and procurement flexibility.
- Local decision data tags Mistral Large 2 for Coding, RAG, and Agents.
Monthly cost at traffic
Estimate token spend from the cheapest tracked input and output route or tier on this page.
Xiaomi MiMo-V2.5
$182
Cheapest tracked route/tier: OpenRouter
Mistral Large 2
$984
Cheapest tracked route/tier: AWS Bedrock
Estimated monthly gap: $802. Batch, cache, alternate speed tiers, and negotiated pricing are excluded from this local estimate.
Switch friction
- Provider overlap exists on OpenRouter; start route-level A/B tests there.
- Mistral Large 2 is $2.12/1M tokens higher on cheapest tracked output pricing, so quality gains need to justify the spend.
- Check replacement coverage for Reasoning before moving production traffic.
- Provider overlap exists on OpenRouter; start route-level A/B tests there.
- Xiaomi MiMo-V2.5 is $2.12/1M tokens lower on cheapest tracked output pricing before cache, batch, or negotiated discounts.
- Xiaomi MiMo-V2.5 adds Reasoning in local capability data.
Specs
| Specification | ||
|---|---|---|
| Released | 2026-04-22 | 2025-11-25 |
| Context window | 1.05m | 128k |
| Parameters | — | 123B |
| Architecture | - | decoder only |
| License | Proprietary | Mistral License |
| Openness | Proprietary | Open weights |
| Commercial use | Commercial use with conditions | Non-commercial only |
| Knowledge cutoff | - | 2025-07 |
Pricing and availability
| Pricing attribute | Xiaomi MiMo-V2.5 | Mistral Large 2 |
|---|---|---|
| Input price | $0.14/1M tokens | $0.48/1M tokens |
| Output price | $0.28/1M tokens | $2.40/1M tokens |
| Providers |
Capabilities
| Capability | Xiaomi MiMo-V2.5 | Mistral Large 2 |
|---|---|---|
| Vision | Yes | Yes |
| Multimodal | Yes | Yes |
| Reasoning | Yes | No |
| Function calling | Yes | Yes |
| Tool use | Yes | Yes |
| Structured outputs | Yes | Yes |
| Code execution | No | No |
| IDE integration | No | No |
| Computer use | No | No |
| Parallel agents | No | No |
Benchmarks
| Benchmark | Xiaomi MiMo-V2.5 | Mistral Large 2 |
|---|---|---|
| MMLU PRO | 84.9 | 69.7 |
Deep dive
On shared benchmark coverage, MMLU PRO has Xiaomi MiMo-V2.5 at 84.9 and Mistral Large 2 at 69.7, with Xiaomi MiMo-V2.5 ahead by 15.2 points. The largest visible gap is 15.2 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: Xiaomi MiMo-V2.5. 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, Xiaomi MiMo-V2.5 lists $0.14/1M input and $0.28/1M output tokens on the cheapest tracked provider, while Mistral Large 2 lists $0.48/1M input and $2.40/1M output tokens on the cheapest tracked provider. A 70/30 input-output blend puts Xiaomi MiMo-V2.5 lower by about $0.87 per million blended tokens. Availability is 2 providers versus 4, so concentration risk also matters.
Choose Xiaomi MiMo-V2.5 when reasoning depth, 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.
FAQ
Which has a larger context window, Xiaomi MiMo-V2.5 or Mistral Large 2?
Xiaomi MiMo-V2.5 supports 1.05m 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, Xiaomi MiMo-V2.5 or Mistral Large 2?
Xiaomi MiMo-V2.5 is cheaper on tracked token pricing. Xiaomi MiMo-V2.5 costs $0.14/1M input and $0.28/1M output tokens. Mistral Large 2 costs $0.48/1M input and $2.40/1M output tokens. Provider discounts or batch pricing can still change the final bill.
Is Xiaomi MiMo-V2.5 or Mistral Large 2 open source?
Xiaomi MiMo-V2.5 is listed under Proprietary. Mistral Large 2 is listed under Mistral License. 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, Xiaomi MiMo-V2.5 or Mistral Large 2?
Both Xiaomi MiMo-V2.5 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. Use this as a quick comparison signal, then confirm the provider-specific limits before committing to production.
Which is better for multimodal input, Xiaomi MiMo-V2.5 or Mistral Large 2?
Both Xiaomi MiMo-V2.5 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 Xiaomi MiMo-V2.5 and Mistral Large 2?
Xiaomi MiMo-V2.5 is available on OpenRouter and Xiaomi. 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: 2026-05-26. Data sourced from public model cards and provider documentation.