GLM 4.6V vs Mistral Magistral Small 2509
GLM 4.6V (2026) and Mistral Magistral Small 2509 (2025) are compact production models from Tsinghua Knowledge Engineering Group (THUDM) and MistralAI. GLM 4.6V ships a 128K-token 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.
GLM 4.6V is safer overall; choose Mistral Magistral Small 2509 when provider fit matters.
Decision scorecard
Local evidence first| Signal | GLM 4.6V | Mistral Magistral Small 2509 |
|---|---|---|
| Decision fit | RAG, Agents, and Long context | General |
| Context window | 128K | — |
| Cheapest output | - | $1.5/1M tokens |
| Provider routes | 0 tracked | 1 tracked |
| Shared benchmarks | 0 rows | 0 rows |
Decision tradeoffs
- GLM 4.6V has the larger context window for long prompts, retrieval packs, or transcript analysis.
- GLM 4.6V uniquely exposes Vision, Multimodal, and Function calling in local model data.
- Local decision data tags GLM 4.6V for RAG, Agents, and Long context.
- 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.
GLM 4.6V
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
- No overlapping tracked provider route is sourced for GLM 4.6V and Mistral Magistral Small 2509; plan for SDK, billing, or endpoint changes.
- Check replacement coverage for Vision, Multimodal, and Function calling before moving production traffic.
- No overlapping tracked provider route is sourced for Mistral Magistral Small 2509 and GLM 4.6V; plan for SDK, billing, or endpoint changes.
- GLM 4.6V adds Vision, Multimodal, and Function calling in local capability data.
Specs
| Specification | ||
|---|---|---|
| Released | 2026-02-01 | 2025-09-01 |
| Context window | 128K | — |
| Parameters | — | — |
| Architecture | decoder only | - |
| License | Proprietary | Proprietary |
| Knowledge cutoff | - | - |
Pricing and availability
| Pricing attribute | GLM 4.6V | Mistral Magistral Small 2509 |
|---|---|---|
| Input price | - | $0.5/1M tokens |
| Output price | - | $1.5/1M tokens |
| Providers | - |
Capabilities
| Capability | GLM 4.6V | Mistral Magistral Small 2509 |
|---|---|---|
| Vision | Yes | No |
| Multimodal | Yes | No |
| Reasoning | No | No |
| Function calling | Yes | No |
| Tool use | Yes | 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 differs most on vision: GLM 4.6V, multimodal input: GLM 4.6V, function calling: GLM 4.6V, and tool use: GLM 4.6V. 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.
Pricing coverage is uneven: GLM 4.6V 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 4.6V when vision-heavy evaluation 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.
FAQ
Is GLM 4.6V or Mistral Magistral Small 2509 open source?
GLM 4.6V 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 vision, GLM 4.6V or Mistral Magistral Small 2509?
GLM 4.6V 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. Use this as a quick comparison signal, then confirm the provider-specific limits before committing to production.
Which is better for multimodal input, GLM 4.6V or Mistral Magistral Small 2509?
GLM 4.6V 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 function calling, GLM 4.6V or Mistral Magistral Small 2509?
GLM 4.6V 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 4.6V or Mistral Magistral Small 2509?
GLM 4.6V 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 4.6V and Mistral Magistral Small 2509?
GLM 4.6V 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.
Continue comparing
Last reviewed: 2026-05-11. Data sourced from public model cards and provider documentation.