LLM Reference

Magistral Small 2506 vs Mistral Small 3

Magistral Small 2506 (2025) and Mistral Small 3 (2025) are frontier reasoning models from MistralAI. Magistral Small 2506 ships a 128K-token context window, while Mistral Small 3 ships a 33K-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.

Magistral Small 2506 is safer overall; choose Mistral Small 3 when provider fit matters.

Decision scorecard

Local evidence first
SignalMagistral Small 2506Mistral Small 3
Decision fitLong contextAgents, Classification, and JSON / Tool use
Context window128K33K
Cheapest output-$0.3/1M tokens
Provider routes1 tracked1 tracked
Shared benchmarks0 rows0 rows

Decision tradeoffs

Choose Magistral Small 2506 when...
  • Magistral Small 2506 has the larger context window for long prompts, retrieval packs, or transcript analysis.
  • Magistral Small 2506 uniquely exposes Reasoning in local model data.
  • Local decision data tags Magistral Small 2506 for Long context.
Choose Mistral Small 3 when...
  • Mistral Small 3 uniquely exposes Function calling, Tool use, and Structured outputs in local model data.
  • Local decision data tags Mistral Small 3 for Agents, Classification, and JSON / Tool use.

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

Mistral Small 3

$155

Cheapest tracked route: Together AI

Cost delta unavailable until both models have sourced input and output token prices.

Switch friction

Magistral Small 2506 -> Mistral Small 3
  • No overlapping tracked provider route is sourced for Magistral Small 2506 and Mistral Small 3; plan for SDK, billing, or endpoint changes.
  • Check replacement coverage for Reasoning before moving production traffic.
  • Mistral Small 3 adds Function calling, Tool use, and Structured outputs in local capability data.
Mistral Small 3 -> Magistral Small 2506
  • No overlapping tracked provider route is sourced for Mistral Small 3 and Magistral Small 2506; plan for SDK, billing, or endpoint changes.
  • Check replacement coverage for Function calling, Tool use, and Structured outputs before moving production traffic.
  • Magistral Small 2506 adds Reasoning in local capability data.

Specs

Specification
Released2025-06-102025-01-01
Context window128K33K
Parameters
Architecturedecoder onlydecoder only
License1Open Source
Knowledge cutoff2025-062023-10

Pricing and availability

Pricing attributeMagistral Small 2506Mistral Small 3
Input price-$0.1/1M tokens
Output price-$0.3/1M tokens
Providers

Capabilities

CapabilityMagistral Small 2506Mistral Small 3
VisionNoNo
MultimodalNoNo
ReasoningYesNo
Function callingNoYes
Tool useNoYes
Structured outputsNoYes
Code executionNoNo

Benchmarks

No shared benchmark rows are currently sourced for this pair.

Deep dive

The capability footprint differs most on reasoning mode: Magistral Small 2506, function calling: Mistral Small 3, tool use: Mistral Small 3, and structured outputs: Mistral Small 3. 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 has $0.1/1M input tokens. 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 and larger context windows are central to the workload. Choose Mistral Small 3 when provider fit 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.

FAQ

Which has a larger context window, Magistral Small 2506 or Mistral Small 3?

Magistral Small 2506 supports 128K tokens, while Mistral Small 3 supports 33K 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 open source?

Magistral Small 2506 is listed under 1. Mistral Small 3 is listed under Open Source. 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 Mistral Small 3?

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.

Which is better for function calling, Magistral Small 2506 or Mistral Small 3?

Mistral Small 3 has the clearer documented function calling signal in this comparison. If function calling is mission-critical, validate it against the provider endpoint because model-level support and API-level exposure can differ.

Which is better for tool use, Magistral Small 2506 or Mistral Small 3?

Mistral Small 3 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.

Where can I run Magistral Small 2506 and Mistral Small 3?

Magistral Small 2506 is available on NVIDIA NIM. Mistral Small 3 is available on Together 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.

Continue comparing

Last reviewed: 2026-05-19. Data sourced from public model cards and provider documentation.