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GLM-5 Turbo vs Mistral Magistral Small 2509

GLM-5 Turbo (2026) and Mistral Magistral Small 2509 (2025) are frontier reasoning models from Zhipu AI and MistralAI. GLM-5 Turbo ships a 200k-token context window, while Mistral Magistral Small 2509 ships a not-yet-sourced context window. On pricing, Mistral Magistral Small 2509 costs $0.5/1M input tokens versus $1.2/1M for the alternative. This comparison covers specs, pricing, capabilities, benchmarks, provider availability, and production fit.

Mistral Magistral Small 2509 is ~140% cheaper at $0.5/1M; pay for GLM-5 Turbo only for reasoning depth.

Specs

Released2026-03-012025-09-01
Context window200k
Parameters744B total, 40B active
Architecturemixture of experts-
LicenseProprietaryProprietary
Knowledge cutoff--

Pricing and availability

GLM-5 TurboMistral Magistral Small 2509
Input price$1.2/1M tokens$0.5/1M tokens
Output price$4/1M tokens$1.5/1M tokens
Providers

Capabilities

GLM-5 TurboMistral 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 differs most on reasoning mode: GLM-5 Turbo, function calling: GLM-5 Turbo, tool use: GLM-5 Turbo, and structured outputs: GLM-5 Turbo. 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.

For cost, GLM-5 Turbo lists $1.2/1M input and $4/1M output tokens, while Mistral Magistral Small 2509 lists $0.5/1M input and $1.5/1M output tokens on the cheapest tracked provider. A 70/30 input-output blend puts Mistral Magistral Small 2509 lower by about $1.24 per million blended tokens. Availability is 1 providers versus 1, so concentration risk also matters.

Choose GLM-5 Turbo when reasoning depth are central to the workload. Choose Mistral Magistral Small 2509 when provider fit and lower input-token cost 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 is cheaper, GLM-5 Turbo or Mistral Magistral Small 2509?

Mistral Magistral Small 2509 is cheaper on tracked token pricing. GLM-5 Turbo costs $1.2/1M input and $4/1M output tokens. Mistral Magistral Small 2509 costs $0.5/1M input and $1.5/1M output tokens. Provider discounts or batch pricing can still change the final bill.

Is GLM-5 Turbo or Mistral Magistral Small 2509 open source?

GLM-5 Turbo 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.

Which is better for reasoning mode, GLM-5 Turbo or Mistral Magistral Small 2509?

GLM-5 Turbo 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, GLM-5 Turbo or Mistral Magistral Small 2509?

GLM-5 Turbo 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, GLM-5 Turbo or Mistral Magistral Small 2509?

GLM-5 Turbo 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 GLM-5 Turbo and Mistral Magistral Small 2509?

GLM-5 Turbo is available on OpenRouter. Mistral Magistral Small 2509 is available on AWS Bedrock. 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: 2026-04-24. Data sourced from public model cards and provider documentation.