Magistral Small 2506 vs Together MiniMax M2.5
Magistral Small 2506 (2025) and Together MiniMax M2.5 (2026) are frontier reasoning models from MistralAI and MiniMax. Magistral Small 2506 ships a 128K-token context window, while Together MiniMax M2.5 ships a 200k-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.
Together MiniMax M2.5 is safer overall; choose Magistral Small 2506 when reasoning depth matters.
Decision scorecard
Local evidence first| Signal | Magistral Small 2506 | Together MiniMax M2.5 |
|---|---|---|
| Decision fit | Long context | Long context |
| Context window | 128K | 200k |
| Cheapest output | - | - |
| Provider routes | 1 tracked | 0 tracked |
| Shared benchmarks | 0 rows | 0 rows |
Decision tradeoffs
- Magistral Small 2506 has broader tracked provider coverage for fallback and procurement flexibility.
- Magistral Small 2506 uniquely exposes Reasoning in local model data.
- Local decision data tags Magistral Small 2506 for Long context.
- Together MiniMax M2.5 has the larger context window for long prompts, retrieval packs, or transcript analysis.
- Local decision data tags Together MiniMax M2.5 for Long context.
Monthly cost at traffic
Estimate token spend from the cheapest tracked input and output prices on this page.
Magistral Small 2506
Unavailable
No complete token price in local provider data
Together MiniMax M2.5
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 Magistral Small 2506 and Together MiniMax M2.5; plan for SDK, billing, or endpoint changes.
- Check replacement coverage for Reasoning before moving production traffic.
- No overlapping tracked provider route is sourced for Together MiniMax M2.5 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 | 2026-02-15 |
| Context window | 128K | 200k |
| Parameters | — | 228.7B |
| Architecture | decoder only | - |
| License | 1 | Proprietary |
| Knowledge cutoff | - | - |
Pricing and availability
| Pricing attribute | Magistral Small 2506 | Together MiniMax M2.5 |
|---|---|---|
| Input price | - | - |
| Output price | - | - |
| Providers | - |
Pricing not yet sourced for either model.
Capabilities
| Capability | Magistral Small 2506 | Together MiniMax M2.5 |
|---|---|---|
| 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 |
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 Together MiniMax M2.5 has no token price sourced yet. Provider availability is 1 tracked routes versus 0. 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 and broader provider choice are central to the workload. Choose Together MiniMax M2.5 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, Magistral Small 2506 or Together MiniMax M2.5?
Together MiniMax M2.5 supports 200k 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 Together MiniMax M2.5 open source?
Magistral Small 2506 is listed under 1. Together MiniMax M2.5 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 Together MiniMax M2.5?
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 Together MiniMax M2.5?
Magistral Small 2506 is available on NVIDIA NIM. Together MiniMax M2.5 is available on the tracked providers still being sourced. Provider coverage can affect latency, region availability, compliance posture, and fallback options.
When should I pick Magistral Small 2506 over Together MiniMax M2.5?
Together MiniMax M2.5 is safer overall; choose Magistral Small 2506 when reasoning depth matters. 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 Together MiniMax M2.5.
Continue comparing
Last reviewed: 2026-05-14. Data sourced from public model cards and provider documentation.