GLM-4 Code 9B vs Mistral Magistral Small 2509

Name: GLM-4 Code 9B
Author: Tsinghua Knowledge Engineering Group (THUDM)

GLM-4 Code 9B (2025) and Mistral Magistral Small 2509 (2025) are general-purpose language models from Tsinghua Knowledge Engineering Group (THUDM) and MistralAI. GLM-4 Code 9B 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.

Mistral Magistral Small 2509 is safer overall; choose GLM-4 Code 9B when provider fit matters.

Decision scorecard

Local evidence first

Signal	GLM-4 Code 9B	Mistral Magistral Small 2509	How to read it
Decision fit	General	General	Primary workload tags from local decision data.
Context window	—	—	Higher is better when prompts, retrieval chunks, or transcripts are large.
Cheapest output	-	$1.5/1M tokens	Cheapest tracked provider route; verify your exact region and tier.
Provider routes	0 tracked	1 tracked	Broader coverage can reduce vendor lock-in and fallback risk.
Shared benchmarks	0 rows	0 rows	No shared benchmark rows are sourced for this pair yet.

Decision tradeoffs

Choose GLM-4 Code 9B when...

Use GLM-4 Code 9B when your own prompt tests beat the comparison signals; the local data does not show a decisive standalone advantage yet.

Choose Mistral Magistral Small 2509 when...

Mistral Magistral Small 2509 has broader tracked provider coverage for fallback and procurement flexibility.

Monthly cost at traffic

Estimate token spend from the cheapest tracked input and output prices on this page.

Requests / monthInput tokens / requestOutput tokens / request

GLM-4 Code 9B

Unavailable

No complete token price in local provider data

Mistral Magistral Small 2509

$775

Cheapest tracked route: AWS Bedrock

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

Switch friction

GLM-4 Code 9B -> Mistral Magistral Small 2509

No overlapping tracked provider route is sourced for GLM-4 Code 9B and Mistral Magistral Small 2509; plan for SDK, billing, or endpoint changes.

Mistral Magistral Small 2509 -> GLM-4 Code 9B

No overlapping tracked provider route is sourced for Mistral Magistral Small 2509 and GLM-4 Code 9B; plan for SDK, billing, or endpoint changes.

Specs

Specification	GLM-4 Code 9B Tsinghua Knowledge Engineering Group (THUDM)	Mistral Magistral Small 2509 MistralAI
Released	2025-05-10	2025-09-01
Context window	—	—
Parameters	9B	—
Architecture	-	-
License	Apache 2.0	Proprietary
Knowledge cutoff	-	-

Pricing and availability

Pricing attribute	GLM-4 Code 9B	Mistral Magistral Small 2509
Input price	-	$0.5/1M tokens
Output price	-	$1.5/1M tokens
Providers	-	AWS Bedrock

Capabilities

Capability	GLM-4 Code 9B	Mistral Magistral Small 2509
Vision	No	No
Multimodal	No	No
Reasoning	No	No
Function calling	No	No
Tool use	No	No
Structured outputs	No	No
Code execution	No	No

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: GLM-4 Code 9B 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 GLM-4 Code 9B when provider fit 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 GLM-4 Code 9B or Mistral Magistral Small 2509 open source?

GLM-4 Code 9B is listed under Apache 2.0. 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 GLM-4 Code 9B and Mistral Magistral Small 2509?

GLM-4 Code 9B 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 GLM-4 Code 9B over Mistral Magistral Small 2509?

Mistral Magistral Small 2509 is safer overall; choose GLM-4 Code 9B when provider fit matters. If your workload also depends on provider fit, start with GLM-4 Code 9B; if it depends on provider fit, run the same evaluation with Mistral Magistral Small 2509.

What is the main difference between GLM-4 Code 9B and Mistral Magistral Small 2509?

GLM-4 Code 9B 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.

Continue comparing

Model pages

Labs and families

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Last reviewed: 2026-05-11. Data sourced from public model cards and provider documentation.