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Code Cushman 002 vs Mistral Magistral Small 2509

Code Cushman 002 (2021) and Mistral Magistral Small 2509 (2025) are agentic coding models from OpenAI and MistralAI. Code Cushman 002 ships a not-yet-sourced context window, while Mistral Magistral Small 2509 ships a not-yet-sourced 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.

Mistral Magistral Small 2509 is safer overall; choose Code Cushman 002 when coding workflow support matters.

Specs

Released2021-11-152025-09-01
Context window——
Parameters——
Architecturedecoder only-
LicenseProprietaryProprietary
Knowledge cutoff--

Pricing and availability

Code Cushman 002Mistral Magistral Small 2509
Input price-$0.5/1M tokens
Output price-$1.5/1M tokens
Providers-
AWS Bedrock

Capabilities

Code Cushman 002Mistral Magistral Small 2509
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 is close: both models cover the core production surface. That makes context budget, benchmark fit, and provider maturity more important than a simple checklist. If your application depends on one integration detail, verify it against the provider route you plan to use, not just the base model listing.

Pricing coverage is uneven: Code Cushman 002 has no token price sourced yet and Mistral Magistral Small 2509 has $0.5/1M input tokens. Provider availability is 0 tracked routes versus 1. Treat unknown pricing as an integration gap, then verify the route you will actually call before estimating production spend.

Choose Code Cushman 002 when coding workflow support are central to the workload. Choose Mistral Magistral Small 2509 when provider fit 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

Is Code Cushman 002 or Mistral Magistral Small 2509 open source?

Code Cushman 002 is listed under Proprietary. Mistral Magistral Small 2509 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.

Where can I run Code Cushman 002 and Mistral Magistral Small 2509?

Code Cushman 002 is available on the tracked providers still being sourced. Mistral Magistral Small 2509 is available on AWS Bedrock. Provider coverage can affect latency, region availability, compliance posture, and fallback options.

When should I pick Code Cushman 002 over Mistral Magistral Small 2509?

Mistral Magistral Small 2509 is safer overall; choose Code Cushman 002 when coding workflow support matters. If your workload also depends on coding workflow support, start with Code Cushman 002; if it depends on provider fit, run the same evaluation with Mistral Magistral Small 2509.

What is the main difference between Code Cushman 002 and Mistral Magistral Small 2509?

Code Cushman 002 and Mistral Magistral Small 2509 differ most on context, provider coverage, capabilities, or pricing depending on the data currently sourced. Use the specs table first, then validate the model behavior with your own prompts.

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Last reviewed: 2026-04-19. Data sourced from public model cards and provider documentation.