MiMo-V2.5-Pro vs Mistral Large 3 675B Instruct
MiMo-V2.5-Pro (2026) and Mistral Large 3 675B Instruct (2025) compare a coding-specialized model against a standalone API model. MiMo-V2.5-Pro 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 17 pts. On pricing, MiMo-V2.5-Pro costs $0.43/1M input tokens versus $0.50/1M for the alternative. This page treats the result as workflow and deployment fit, not a universal model winner.
Treat this as a product-type comparison: MiMo-V2.5-Pro is coding-specialized model, while Mistral Large 3 675B Instruct is standalone API model. Choose based on workflow fit before reading any benchmark score or price as decisive.
Decision scorecard
Local evidence first| Signal | MiMo-V2.5-Pro | Mistral Large 3 675B Instruct |
|---|---|---|
| Product type | Coding-specialized model | Standalone API model |
| Best for | custom coding agents, code generation, and tool loops | multimodal apps and provider-routed production |
| Decision fit | Coding, RAG, and Agents | Coding, RAG, and Agents |
| Context window | 1M | 128K |
| Cheapest output | $0.87/1M tokens | $1.50/1M tokens |
| Provider routes | 3 tracked | 6 tracked |
| Shared benchmarks | 3 shared | MMLU PRO leader |
Decision tradeoffs
- MiMo-V2.5-Pro holds a shared-benchmark lead on Google-Proof Q&A, ahead by 22.8 points.
- MiMo-V2.5-Pro has the larger context window for long prompts, retrieval packs, or transcript analysis.
- MiMo-V2.5-Pro has the lower cheapest tracked output price at $0.87/1M tokens.
- MiMo-V2.5-Pro uniquely exposes JSON / Tool use in local model data.
- Local decision data tags MiMo-V2.5-Pro for Coding, RAG, and Agents.
- Mistral Large 3 675B Instruct holds a shared-benchmark lead on MMLU PRO, ahead by 17 points.
- Mistral Large 3 675B Instruct has broader tracked provider coverage for fallback and route flexibility.
- Mistral Large 3 675B Instruct uniquely exposes Vision and Multimodal in local model data.
- 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-Pro
$566
Cheapest tracked route/tier: OpenRouter
Mistral Large 3 675B Instruct
$775
Cheapest tracked route/tier: OpenRouter
Estimated monthly gap: $210. 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 $0.63/1M tokens higher on cheapest tracked output pricing, so quality gains need to justify the spend.
- Check replacement coverage for JSON / Tool use before moving production traffic.
- Mistral Large 3 675B Instruct adds Vision and Multimodal in local capability data.
- Provider overlap exists on OpenRouter; start route-level A/B tests there.
- MiMo-V2.5-Pro is $0.63/1M tokens lower on cheapest tracked output pricing before cache, batch, or negotiated discounts.
- Check replacement coverage for Vision and Multimodal before moving production traffic.
- MiMo-V2.5-Pro adds JSON / Tool use in local capability data.
Specs
| Specification | ||
|---|---|---|
| Released | 2026-04-22 | 2025-12-01 |
| Context window | 1M | 128K |
| Parameters | 1T | 675B |
| Architecture | Mixture of Experts | 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-Pro | Mistral Large 3 675B Instruct |
|---|---|---|
| Input price | $0.43/1M tokens | $0.50/1M tokens |
| Output price | $0.87/1M tokens | $1.50/1M tokens |
| Providers |
Capabilities
| Capability | MiMo-V2.5-Pro | Mistral Large 3 675B Instruct |
|---|---|---|
| Vision | No | Yes |
| Multimodal | No | Yes |
| Reasoning | No | 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-Pro | Mistral Large 3 675B Instruct |
|---|---|---|
| MMLU PRO | 68.5 | 85.5 |
| Google-Proof Q&A | 66.7 | 43.9 |
| LMArena Text Arena - Creative Writing | 1438.0 | 1387.0 |
Deep dive
On shared benchmark coverage, MMLU PRO has MiMo-V2.5-Pro at 68.5 and Mistral Large 3 675B Instruct at 85.5, with Mistral Large 3 675B Instruct ahead by 17 points; Google-Proof Q&A has MiMo-V2.5-Pro at 66.7 and Mistral Large 3 675B Instruct at 43.9, with MiMo-V2.5-Pro ahead by 22.8 points; LMArena Text Arena - Creative Writing has MiMo-V2.5-Pro at 1438 and Mistral Large 3 675B Instruct at 1387, with MiMo-V2.5-Pro ahead by 51 points. The largest visible gap is 51 points on LMArena Text Arena - Creative Writing, 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 vision: Mistral Large 3 675B Instruct, multimodal input: Mistral Large 3 675B Instruct, JSON / Tool use: MiMo-V2.5-Pro, and JSON / Tool use: MiMo-V2.5-Pro. Both models share 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-Pro lists $0.43/1M input and $0.87/1M 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-Pro lower by about $0.23 per million blended tokens. Availability is 3 providers versus 6, so concentration risk also matters.
Choose MiMo-V2.5-Pro when coding workflow support, 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-Pro or Mistral Large 3 675B Instruct?
MiMo-V2.5-Pro 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-Pro or Mistral Large 3 675B Instruct?
MiMo-V2.5-Pro is cheaper on listed token pricing. MiMo-V2.5-Pro costs $0.43/1M input and $0.87/1M 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-Pro or Mistral Large 3 675B Instruct open source?
MiMo-V2.5-Pro 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-Pro or Mistral Large 3 675B Instruct?
Mistral Large 3 675B Instruct 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 multimodal input, MiMo-V2.5-Pro or Mistral Large 3 675B Instruct?
Mistral Large 3 675B Instruct 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.
Where can I run MiMo-V2.5-Pro and Mistral Large 3 675B Instruct?
MiMo-V2.5-Pro is available on OpenRouter, Xiaomi, and Novita AI. 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.