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GLM-4V 9B vs Mistral Magistral Small 2509

GLM-4V 9B (2024) and Mistral Magistral Small 2509 (2025) are general-purpose language models from Tsinghua Knowledge Engineering Group (THUDM) and MistralAI. GLM-4V 9B ships a 131K-token context window, while Mistral Magistral Small 2509 ships a not-yet-sourced context window. On pricing, GLM-4V 9B costs $0.05/1M input tokens versus $0.5/1M for the alternative. This comparison covers specs, pricing, capabilities, benchmarks, provider availability, and production fit.

GLM-4V 9B is ~900% cheaper at $0.05/1M; pay for Mistral Magistral Small 2509 only for provider fit.

Decision scorecard

Local evidence first
SignalGLM-4V 9BMistral Magistral Small 2509
Decision fitLong context and VisionGeneral
Context window131K
Cheapest output$0.25/1M tokens$1.5/1M tokens
Provider routes1 tracked1 tracked
Shared benchmarks0 rows0 rows

Decision tradeoffs

Choose GLM-4V 9B when...
  • GLM-4V 9B has the larger context window for long prompts, retrieval packs, or transcript analysis.
  • GLM-4V 9B has the lower cheapest tracked output price at $0.25/1M tokens.
  • GLM-4V 9B uniquely exposes Multimodal in local model data.
  • Local decision data tags GLM-4V 9B for Long context and Vision.
Choose Mistral Magistral Small 2509 when...
  • Use Mistral Magistral Small 2509 when your own prompt tests beat the comparison signals; the local data does not show a decisive standalone advantage yet.

Monthly cost at traffic

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

Lower estimate GLM-4V 9B

GLM-4V 9B

$103

Cheapest tracked route: Replicate API

Mistral Magistral Small 2509

$775

Cheapest tracked route: AWS Bedrock

Estimated monthly gap: $673. Batch, cache, and negotiated pricing are excluded from this local estimate.

Switch friction

GLM-4V 9B -> Mistral Magistral Small 2509
  • No overlapping tracked provider route is sourced for GLM-4V 9B and Mistral Magistral Small 2509; plan for SDK, billing, or endpoint changes.
  • Mistral Magistral Small 2509 is $1.25/1M tokens higher on cheapest tracked output pricing, so quality gains need to justify the spend.
  • Check replacement coverage for Multimodal before moving production traffic.
Mistral Magistral Small 2509 -> GLM-4V 9B
  • No overlapping tracked provider route is sourced for Mistral Magistral Small 2509 and GLM-4V 9B; plan for SDK, billing, or endpoint changes.
  • GLM-4V 9B is $1.25/1M tokens lower on cheapest tracked output pricing before cache, batch, or negotiated discounts.
  • GLM-4V 9B adds Multimodal in local capability data.

Specs

Specification
Released2024-06-052025-09-01
Context window131K
Parameters9B
Architecturedecoder only-
LicenseUnknownProprietary
Knowledge cutoff--

Pricing and availability

Pricing attributeGLM-4V 9BMistral Magistral Small 2509
Input price$0.05/1M tokens$0.5/1M tokens
Output price$0.25/1M tokens$1.5/1M tokens
Providers

Capabilities

CapabilityGLM-4V 9BMistral Magistral Small 2509
VisionNoNo
MultimodalYesNo
ReasoningNoNo
Function callingNoNo
Tool useNoNo
Structured outputsNoNo
Code executionNoNo

Benchmarks

No shared benchmark rows are currently sourced for this pair.

Deep dive

The capability footprint differs most on multimodal input: GLM-4V 9B. 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-4V 9B lists $0.05/1M input and $0.25/1M 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 GLM-4V 9B lower by about $0.69 per million blended tokens. Availability is 1 providers versus 1, so concentration risk also matters.

Choose GLM-4V 9B when provider fit and lower input-token cost are central to the workload. Choose Mistral Magistral Small 2509 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. For teams standardizing a stack, that distinction is often the difference between a benchmark win and a reliable deployment.

FAQ

Which is cheaper, GLM-4V 9B or Mistral Magistral Small 2509?

GLM-4V 9B is cheaper on tracked token pricing. GLM-4V 9B costs $0.05/1M input and $0.25/1M 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-4V 9B or Mistral Magistral Small 2509 open source?

GLM-4V 9B is listed under Unknown. 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 multimodal input, GLM-4V 9B or Mistral Magistral Small 2509?

GLM-4V 9B 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.

Where can I run GLM-4V 9B and Mistral Magistral Small 2509?

GLM-4V 9B is available on Replicate API. 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.

When should I pick GLM-4V 9B over Mistral Magistral Small 2509?

GLM-4V 9B is ~900% cheaper at $0.05/1M; pay for Mistral Magistral Small 2509 only for provider fit. If your workload also depends on provider fit, start with GLM-4V 9B; if it depends on provider fit, run the same evaluation with Mistral Magistral Small 2509.

Continue comparing

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