Magistral Small 2506 vs MiMo-V2-Pro
Magistral Small 2506 (2025) and MiMo-V2-Pro (2026) are frontier reasoning models from MistralAI and Xiaomi. Magistral Small 2506 ships a 128k-token context window, while MiMo-V2-Pro ships a 1.05m-token context window. This comparison covers specs, pricing, capabilities, benchmarks, provider availability, and production fit. It focuses on practical selection signals rather than broad model-family marketing. The goal is to make the tradeoff clear before deeper testing.
MiMo-V2-Pro fits 8x more tokens; pick it for long-context work and Magistral Small 2506 for tighter calls.
Decision scorecard
Local evidence first| Signal | Magistral Small 2506 | MiMo-V2-Pro |
|---|---|---|
| Best for | reasoning-heavy apps | long-context analysis and provider-routed production |
| Decision fit | Long context | Long context |
| Context window | 128k | 1.05m |
| Cheapest output | - | $3/1M tokens |
| Provider routes | 1 tracked | 2 tracked |
| Shared benchmarks | 0 rows | 0 rows |
Decision tradeoffs
- Magistral Small 2506 uniquely exposes Reasoning in local model data.
- Local decision data tags Magistral Small 2506 for Long context.
- MiMo-V2-Pro has the larger context window for long prompts, retrieval packs, or transcript analysis.
- MiMo-V2-Pro has broader tracked provider coverage for fallback and procurement flexibility.
- Local decision data tags MiMo-V2-Pro for Long context.
Monthly cost at traffic
Estimate token spend from the cheapest tracked input and output route or tier on this page.
Magistral Small 2506
Unavailable
No complete token price in local provider data
MiMo-V2-Pro
$1,550
Cheapest tracked route/tier: OpenRouter
Cost delta unavailable until both models have sourced input and output token prices.
Switch friction
- No overlapping tracked provider route is sourced for Magistral Small 2506 and MiMo-V2-Pro; plan for SDK, billing, or endpoint changes.
- Check replacement coverage for Reasoning before moving production traffic.
- No overlapping tracked provider route is sourced for MiMo-V2-Pro and Magistral Small 2506; plan for SDK, billing, or endpoint changes.
- Magistral Small 2506 adds Reasoning in local capability data.
Specs
| Specification | ||
|---|---|---|
| Released | 2025-06-10 | 2026-03-18 |
| Context window | 128k | 1.05m |
| Parameters | 24B | — |
| Architecture | decoder only | - |
| License | Proprietary | Proprietary |
| Knowledge cutoff | 2025-06 | 2024-12 |
Pricing and availability
| Pricing attribute | Magistral Small 2506 | MiMo-V2-Pro |
|---|---|---|
| Input price | - |
|
| Output price | - |
|
| Providers |
Capabilities
| Capability | Magistral Small 2506 | MiMo-V2-Pro |
|---|---|---|
| Vision | No | No |
| Multimodal | No | No |
| Reasoning | Yes | No |
| Function calling | No | No |
| Tool use | No | No |
| Structured outputs | No | 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 reasoning mode: Magistral Small 2506. Both models share the core language-model surface, 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: Magistral Small 2506 has no token price sourced yet and MiMo-V2-Pro has $1/1M input tokens. Provider availability is 1 tracked routes versus 2. Treat unknown pricing as an integration gap, then verify the route you will actually call before estimating production spend.
Choose Magistral Small 2506 when reasoning depth are central to the workload. Choose MiMo-V2-Pro when long-context analysis, larger context windows, 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. 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, Magistral Small 2506 or MiMo-V2-Pro?
MiMo-V2-Pro supports 1.05m tokens, while Magistral Small 2506 supports 128k tokens. That gap matters most for long documents, large codebases, retrieval-heavy agents, and conversations where earlier context must remain visible.
Is Magistral Small 2506 or MiMo-V2-Pro open source?
Magistral Small 2506 is listed under Proprietary. 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 reasoning mode, Magistral Small 2506 or MiMo-V2-Pro?
Magistral Small 2506 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 Magistral Small 2506 and MiMo-V2-Pro?
Magistral Small 2506 is available on NVIDIA NIM. MiMo-V2-Pro is available on OpenRouter and Vercel AI Gateway. Provider coverage can affect latency, region availability, compliance posture, and fallback options. Use this as a quick comparison signal, then confirm the provider-specific limits before committing to production.
When should I pick Magistral Small 2506 over MiMo-V2-Pro?
MiMo-V2-Pro fits 8x more tokens; pick it for long-context work and Magistral Small 2506 for tighter calls. If your workload also depends on reasoning depth, start with Magistral Small 2506; if it depends on long-context analysis, run the same evaluation with MiMo-V2-Pro.
Continue comparing
Last reviewed: 2026-05-22. Data sourced from public model cards and provider documentation.