Magistral Small 2506 vs Mistral Small 3.2 24B
Magistral Small 2506 (2025) and Mistral Small 3.2 24B (2025) are frontier reasoning models from MistralAI. Magistral Small 2506 ships a 128k-token context window, while Mistral Small 3.2 24B ships a 128k-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.
Magistral Small 2506 is safer overall; choose Mistral Small 3.2 24B when coding workflow support matters.
Decision scorecard
Local evidence first| Signal | Magistral Small 2506 | Mistral Small 3.2 24B |
|---|---|---|
| Best for | reasoning-heavy apps | multimodal apps and tool-calling agents |
| Decision fit | Long context | Coding, RAG, and Agents |
| Context window | 128k | 128k |
| Cheapest output | - | - |
| Provider routes | 1 tracked | 1 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.
- Mistral Small 3.2 24B uniquely exposes Vision, Multimodal, and Function calling in local model data.
- Local decision data tags Mistral Small 3.2 24B 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.
Magistral Small 2506
Unavailable
No complete token price in local provider data
Mistral Small 3.2 24B
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 Mistral Small 3.2 24B; plan for SDK, billing, or endpoint changes.
- Check replacement coverage for Reasoning before moving production traffic.
- Mistral Small 3.2 24B adds Vision, Multimodal, and Function calling in local capability data.
- No overlapping tracked provider route is sourced for Mistral Small 3.2 24B and Magistral Small 2506; plan for SDK, billing, or endpoint changes.
- Check replacement coverage for Vision, Multimodal, and Function calling before moving production traffic.
- Magistral Small 2506 adds Reasoning in local capability data.
Specs
| Specification | ||
|---|---|---|
| Released | 2025-06-10 | 2025-06-01 |
| Context window | 128k | 128k |
| Parameters | 24B | 24B |
| Architecture | decoder only | decoder only |
| License | Apache 2.0(OSI) | Apache 2.0(OSI) |
| Openness | Open source | Open source |
| Commercial use | Commercial use allowed | Commercial use allowed |
| Knowledge cutoff | 2025-06 | 2023-10 |
Pricing and availability
| Pricing attribute | Magistral Small 2506 | Mistral Small 3.2 24B |
|---|---|---|
| Input price | - | - |
| Output price | - | - |
| Providers |
Pricing not yet sourced for either model.
Capabilities
| Capability | Magistral Small 2506 | Mistral Small 3.2 24B |
|---|---|---|
| Vision | No | Yes |
| Multimodal | No | Yes |
| Reasoning | Yes | No |
| Function calling | No | Yes |
| Tool use | No | Yes |
| Structured outputs | No | Yes |
| Code execution | No | Yes |
| 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 vision: Mistral Small 3.2 24B, multimodal input: Mistral Small 3.2 24B, reasoning mode: Magistral Small 2506, function calling: Mistral Small 3.2 24B, tool use: Mistral Small 3.2 24B, structured outputs: Mistral Small 3.2 24B, and code execution: Mistral Small 3.2 24B. 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 Mistral Small 3.2 24B has no token price sourced yet. Provider availability is 1 tracked routes versus 1. 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 Mistral Small 3.2 24B when coding workflow support 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.
FAQ
Which has a larger context window, Magistral Small 2506 or Mistral Small 3.2 24B?
Magistral Small 2506 supports 128k tokens, while Mistral Small 3.2 24B 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 Mistral Small 3.2 24B open source?
Magistral Small 2506 is listed under Apache 2.0. Mistral Small 3.2 24B 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, Magistral Small 2506 or Mistral Small 3.2 24B?
Mistral Small 3.2 24B 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, Magistral Small 2506 or Mistral Small 3.2 24B?
Mistral Small 3.2 24B 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.
Which is better for reasoning mode, Magistral Small 2506 or Mistral Small 3.2 24B?
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 Mistral Small 3.2 24B?
Magistral Small 2506 is available on NVIDIA NIM. Mistral Small 3.2 24B is available on Venice AI. 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.
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Last reviewed: 2026-05-22. Data sourced from public model cards and provider documentation.