Mistral Large 2.1 (2411) vs Xiaomi MiMo-V2-Pro
Mistral Large 2.1 (2411) (2024) and Xiaomi MiMo-V2-Pro (2026) are compact production models from MistralAI and Xiaomi. Mistral Large 2.1 (2411) ships a 128k-token context window, while Xiaomi MiMo-V2-Pro ships a 1m-token context window. This comparison covers specs, pricing, API access, capabilities, benchmarks, input and output token costs, and production fit for coding and agent workloads. It focuses on practical selection signals rather than broad model-family marketing.
Xiaomi MiMo-V2-Pro fits 8x more tokens; pick it for long-context work and Mistral Large 2.1 (2411) for tighter calls.
Decision scorecard
Local evidence first| Signal | Mistral Large 2.1 (2411) | Xiaomi MiMo-V2-Pro |
|---|---|---|
| Best for | tool-calling agents | tool-calling agents and long-context analysis |
| Decision fit | RAG, Agents, and Long context | RAG, Agents, and Long context |
| Context window | 128k | 1m |
| Cheapest output | - | - |
| Provider routes | 0 tracked | 0 tracked |
| Shared benchmarks | 0 rows | 0 rows |
Decision tradeoffs
- Mistral Large 2.1 (2411) uniquely exposes Tool use and Structured outputs in local model data.
- Local decision data tags Mistral Large 2.1 (2411) for RAG, Agents, and Long context.
- Xiaomi MiMo-V2-Pro has the larger context window for long prompts, retrieval packs, or transcript analysis.
- Local decision data tags Xiaomi MiMo-V2-Pro for RAG, Agents, and Long context.
Monthly cost at traffic
Estimate token spend from the cheapest tracked input and output route or tier on this page.
Mistral Large 2.1 (2411)
Unavailable
No complete token price in local provider data
Xiaomi MiMo-V2-Pro
Unavailable
No complete token price in local provider data
Cost delta unavailable until both models have sourced input and output token prices.
Switch friction
- No overlapping tracked provider route is sourced for Mistral Large 2.1 (2411) and Xiaomi MiMo-V2-Pro; plan for SDK, billing, or endpoint changes.
- Check replacement coverage for Tool use and Structured outputs before moving production traffic.
- No overlapping tracked provider route is sourced for Xiaomi MiMo-V2-Pro and Mistral Large 2.1 (2411); plan for SDK, billing, or endpoint changes.
- Mistral Large 2.1 (2411) adds Tool use and Structured outputs in local capability data.
Specs
| Specification | ||
|---|---|---|
| Released | 2024-11-18 | 2026-03-19 |
| Context window | 128k | 1m |
| Parameters | 123B | 1T |
| Architecture | decoder only | - |
| License | Mistral License | Proprietary |
| Openness | Open weights | Proprietary |
| Commercial use | Non-commercial only | Commercial use with conditions |
| Knowledge cutoff | - | 2024-12 |
Pricing and availability
| Pricing attribute | Mistral Large 2.1 (2411) | Xiaomi MiMo-V2-Pro |
|---|---|---|
| Input price | - | - |
| Output price | - | - |
| Providers | - | - |
Pricing not yet sourced for either model.
Capabilities
| Capability | Mistral Large 2.1 (2411) | Xiaomi MiMo-V2-Pro |
|---|---|---|
| Vision | No | No |
| Multimodal | No | No |
| Reasoning | No | No |
| Function calling | Yes | Yes |
| Tool use | Yes | No |
| Structured outputs | Yes | No |
| Code execution | No | No |
| IDE integration | No | No |
| Computer use | No | No |
| Parallel agents | No | No |
Benchmarks
No shared benchmark rows are currently sourced for this pair.
Deep dive
The capability footprint differs most on tool use: Mistral Large 2.1 (2411) and structured outputs: Mistral Large 2.1 (2411). Both models share function calling, 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.
Pricing coverage is uneven: Mistral Large 2.1 (2411) has no token price sourced yet and Xiaomi MiMo-V2-Pro has no token price sourced yet. Provider availability is 0 tracked routes versus 0. Treat unknown pricing as an integration gap, then verify the route you will actually call before estimating production spend.
Choose Mistral Large 2.1 (2411) when provider fit are central to the workload. Choose Xiaomi MiMo-V2-Pro when long-context analysis and larger context windows 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. For teams standardizing a stack, that distinction is often the difference between a benchmark win and a reliable deployment.
FAQ
Which has a larger context window, Mistral Large 2.1 (2411) or Xiaomi MiMo-V2-Pro?
Xiaomi MiMo-V2-Pro supports 1m tokens, while Mistral Large 2.1 (2411) supports 128k tokens. That gap matters most for long documents, large codebases, retrieval-heavy agents, and conversations where earlier context must remain visible.
Is Mistral Large 2.1 (2411) or Xiaomi MiMo-V2-Pro open source?
Mistral Large 2.1 (2411) is listed under Mistral License. Xiaomi MiMo-V2-Pro 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 function calling, Mistral Large 2.1 (2411) or Xiaomi MiMo-V2-Pro?
Both Mistral Large 2.1 (2411) and Xiaomi MiMo-V2-Pro expose function calling. The better choice depends on benchmark fit, context budget, pricing, and whether your provider route exposes the same capability surface.
Which is better for tool use, Mistral Large 2.1 (2411) or Xiaomi MiMo-V2-Pro?
Mistral Large 2.1 (2411) has the clearer documented tool use signal in this comparison. If tool use is mission-critical, validate it against the provider endpoint because model-level support and API-level exposure can differ.
Which is better for structured outputs, Mistral Large 2.1 (2411) or Xiaomi MiMo-V2-Pro?
Mistral Large 2.1 (2411) has the clearer documented structured outputs signal in this comparison. If structured outputs is mission-critical, validate it against the provider endpoint because model-level support and API-level exposure can differ.
When should I pick Mistral Large 2.1 (2411) over Xiaomi MiMo-V2-Pro?
Xiaomi MiMo-V2-Pro fits 8x more tokens; pick it for long-context work and Mistral Large 2.1 (2411) for tighter calls. If your workload also depends on provider fit, start with Mistral Large 2.1 (2411); if it depends on long-context analysis, run the same evaluation with Xiaomi MiMo-V2-Pro.
Continue comparing
Last reviewed: 2026-05-25. Data sourced from public model cards and provider documentation.