MiMo-V2.5 vs Mistral Large 3 675B Instruct
MiMo-V2.5 (2026) and Mistral Large 3 675B Instruct (2025) are frontier reasoning models from Xiaomi and MistralAI. MiMo-V2.5 ships a 1M-token context window, while Mistral Large 3 675B Instruct ships a 128K-token context window. On MMLU PRO, Mistral Large 3 675B Instruct leads by 0.6 pts. On pricing, MiMo-V2.5 costs $0.14/1M input tokens versus $0.50/1M 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.
MiMo-V2.5 is ~257% cheaper at $0.14/1M; pay for Mistral Large 3 675B Instruct only for vision-heavy evaluation.
Decision scorecard
Local evidence first| Signal | MiMo-V2.5 | Mistral Large 3 675B Instruct |
|---|---|---|
| Best for | reasoning-heavy apps, multimodal apps, and tool-calling agents | multimodal apps and provider-routed production |
| Decision fit | RAG, Agents, and Long context | Coding, RAG, and Agents |
| Context window | 1M | 128K |
| Cheapest output | $0.28/1M tokens | $1.50/1M tokens |
| Provider routes | 2 tracked | 6 tracked |
| Shared benchmarks | 4 shared | MMLU PRO leader |
Decision tradeoffs
- MiMo-V2.5 holds a shared-benchmark lead on Google-Proof Q&A, ahead by 39.8 points.
- MiMo-V2.5 has the larger context window for long prompts, retrieval packs, or transcript analysis.
- MiMo-V2.5 has the lower cheapest tracked output price at $0.28/1M tokens.
- MiMo-V2.5 uniquely exposes Reasoning and JSON / Tool use in local model data.
- Local decision data tags MiMo-V2.5 for RAG, Agents, and Long context.
- Mistral Large 3 675B Instruct holds a shared-benchmark lead on MMLU PRO, ahead by 0.6 points.
- Mistral Large 3 675B Instruct has broader tracked provider coverage for fallback and route flexibility.
- Local decision data tags Mistral Large 3 675B Instruct 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.
MiMo-V2.5
$182
Cheapest tracked route/tier: OpenRouter
Mistral Large 3 675B Instruct
$775
Cheapest tracked route/tier: OpenRouter
Estimated monthly gap: $593. 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 3 675B Instruct is $1.22/1M tokens higher on cheapest tracked output pricing, so quality gains need to justify the spend.
- Check replacement coverage for Reasoning and JSON / Tool use before moving production traffic.
- Provider overlap exists on OpenRouter; start route-level A/B tests there.
- MiMo-V2.5 is $1.22/1M tokens lower on cheapest tracked output pricing before cache, batch, or negotiated discounts.
- MiMo-V2.5 adds Reasoning and JSON / Tool use in local capability data.
Specs
| Specification | ||
|---|---|---|
| Released | 2026-04-22 | 2025-12-01 |
| Context window | 1M | 128K |
| Parameters | — | 675B |
| Architecture | - | Decoder Only |
| License | Proprietary | Apache 2.0OSI-approved |
| Openness | Proprietary | Open source |
| Weights | Not released | Unknown |
| Code | Unknown | Unknown |
| Commercial use | Restricted | Permitted |
| Knowledge cutoff | - | 2024-11 |
Pricing and availability
| Pricing attribute | MiMo-V2.5 | Mistral Large 3 675B Instruct |
|---|---|---|
| Input price | $0.14/1M tokens | $0.50/1M tokens |
| Output price | $0.28/1M tokens | $1.50/1M tokens |
| Providers |
Capabilities
| Capability | MiMo-V2.5 | Mistral Large 3 675B Instruct |
|---|---|---|
| Vision | Yes | Yes |
| Multimodal | Yes | Yes |
| Reasoning | Yes | No |
| JSON / Tool use | Yes | No |
| Structured outputs | Yes | Yes |
| Code execution | No | No |
| IDE integration | No | No |
| Computer use | No | No |
| Parallel agents | No | No |
Benchmarks
| Benchmark | MiMo-V2.5 | Mistral Large 3 675B Instruct |
|---|---|---|
| MMLU PRO | 84.9 | 85.5 |
| Google-Proof Q&A | 83.7 | 43.9 |
| LMArena Vision Arena | 1234.0 | 1199.0 |
| LMArena Text Arena - Creative Writing | 1393.0 | 1387.0 |
Deep dive
On shared benchmark coverage, MMLU PRO has MiMo-V2.5 at 84.9 and Mistral Large 3 675B Instruct at 85.5, with Mistral Large 3 675B Instruct ahead by 0.6 points; Google-Proof Q&A has MiMo-V2.5 at 83.7 and Mistral Large 3 675B Instruct at 43.9, with MiMo-V2.5 ahead by 39.8 points; LMArena Vision Arena has MiMo-V2.5 at 1234 and Mistral Large 3 675B Instruct at 1199, with MiMo-V2.5 ahead by 35 points. The largest visible gap is 39.8 points on Google-Proof Q&A, 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: MiMo-V2.5, JSON / Tool use: MiMo-V2.5, and JSON / Tool use: MiMo-V2.5. Both models share vision, multimodal input, 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, MiMo-V2.5 lists $0.14/1M input and $0.28/1M output tokens on the cheapest listed provider, while Mistral Large 3 675B Instruct lists $0.50/1M input and $1.50/1M output tokens on the cheapest listed provider. A 70/30 input-output blend puts MiMo-V2.5 lower by about $0.62 per million blended tokens. Availability is 2 providers versus 6, so concentration risk also matters.
Choose MiMo-V2.5 when reasoning depth, larger context windows, and lower input-token cost are central to the workload. Choose Mistral Large 3 675B Instruct 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, MiMo-V2.5 or Mistral Large 3 675B Instruct?
MiMo-V2.5 supports 1M tokens, while Mistral Large 3 675B Instruct 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, MiMo-V2.5 or Mistral Large 3 675B Instruct?
MiMo-V2.5 is cheaper on listed token pricing. MiMo-V2.5 costs $0.14/1M input and $0.28/1M output tokens. Mistral Large 3 675B Instruct costs $0.50/1M input and $1.50/1M output tokens. Provider discounts or batch pricing can still change the final bill.
Is MiMo-V2.5 or Mistral Large 3 675B Instruct open source?
MiMo-V2.5 is listed under Proprietary. Mistral Large 3 675B Instruct 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, MiMo-V2.5 or Mistral Large 3 675B Instruct?
Both MiMo-V2.5 and Mistral Large 3 675B Instruct expose vision. The better choice depends on benchmark fit, context budget, pricing, and whether your provider route exposes the same capability surface.
Which is better for multimodal input, MiMo-V2.5 or Mistral Large 3 675B Instruct?
Both MiMo-V2.5 and Mistral Large 3 675B Instruct 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 MiMo-V2.5 and Mistral Large 3 675B Instruct?
MiMo-V2.5 is available on OpenRouter and Xiaomi. Mistral Large 3 675B Instruct is available on OpenRouter, AWS Bedrock, NVIDIA NIM, Mistral AI Studio, and Microsoft Foundry. Provider coverage can affect latency, region availability, compliance posture, and fallback options.
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Last reviewed: 2026-10-29. Data sourced from public model cards and provider documentation.