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Claude Sonnet 4.6 vs Magistral Small 2506

Claude Sonnet 4.6 (2026) and Magistral Small 2506 (2026) are frontier-tier reasoning models from Anthropic and MistralAI. Claude Sonnet 4.6 ships a 1M-token context window, while Magistral Small 2506 ships a 128K-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.

Claude Sonnet 4.6 fits 8x more tokens; pick it for long-context work and Magistral Small 2506 for tighter calls.

Specs

Released2026-02-172026-01-15
Context window1M128K
Parameters
Architecturedecoder onlydecoder only
LicenseProprietary1
Knowledge cutoff2025-12-

Pricing and availability

Claude Sonnet 4.6Magistral Small 2506
Input price$3/1M tokens-
Output price$15/1M tokens-
Providers

Capabilities

Claude Sonnet 4.6Magistral Small 2506
Vision
Multimodal
Reasoning
Function calling
Tool use
Structured outputs
Code execution

Benchmarks

No shared benchmark rows are currently sourced for this pair.

Deep dive

The capability footprint differs most on vision: Claude Sonnet 4.6, multimodal input: Claude Sonnet 4.6, function calling: Claude Sonnet 4.6, tool use: Claude Sonnet 4.6, structured outputs: Claude Sonnet 4.6, and code execution: Claude Sonnet 4.6. Both models share reasoning mode, 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: Claude Sonnet 4.6 has $3/1M input tokens and Magistral Small 2506 has no token price sourced yet. Provider availability is 4 tracked routes versus 1. Treat unknown pricing as an integration gap, then verify the route you will actually call before estimating production spend.

Choose Claude Sonnet 4.6 when coding workflow support, larger context windows, and broader provider choice are central to the workload. Choose Magistral Small 2506 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.

FAQ

Which has a larger context window, Claude Sonnet 4.6 or Magistral Small 2506?

Claude Sonnet 4.6 supports 1M 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 Claude Sonnet 4.6 or Magistral Small 2506 open source?

Claude Sonnet 4.6 is listed under Proprietary. Magistral Small 2506 is listed under 1. 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, Claude Sonnet 4.6 or Magistral Small 2506?

Claude Sonnet 4.6 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, Claude Sonnet 4.6 or Magistral Small 2506?

Claude Sonnet 4.6 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, Claude Sonnet 4.6 or Magistral Small 2506?

Both Claude Sonnet 4.6 and Magistral Small 2506 expose reasoning mode. The better choice depends on benchmark fit, context budget, pricing, and whether your provider route exposes the same capability surface.

Where can I run Claude Sonnet 4.6 and Magistral Small 2506?

Claude Sonnet 4.6 is available on OpenRouter, Anthropic, AWS Bedrock, and GCP Vertex AI. Magistral Small 2506 is available on NVIDIA NIM. Provider coverage can affect latency, region availability, compliance posture, and fallback options.

Continue comparing

Last reviewed: 2026-04-24. Data sourced from public model cards and provider documentation.