GPT-4o (11-20) vs Mistral Magistral Small 2509
GPT-4o (11-20) (2024) and Mistral Magistral Small 2509 (2025) are compact production models from OpenAI and MistralAI. GPT-4o (11-20) ships a 128k-token context window, while Mistral Magistral Small 2509 ships a not-yet-sourced context window. This comparison covers specs, pricing, API access, capabilities, benchmarks, input and output token costs, and production fit for coding and agent workloads. It focuses on practical selection signals rather than broad model-family marketing.
Mistral Magistral Small 2509 is safer overall; choose GPT-4o (11-20) when coding workflow support matters.
Decision scorecard
Local evidence first| Signal | GPT-4o (11-20) | Mistral Magistral Small 2509 |
|---|---|---|
| Best for | multimodal apps | provider-routed production |
| Decision fit | Coding, Agents, and Long context | General |
| Context window | 128k | — |
| Cheapest output | - | $1.50/1M tokens |
| Provider routes | 0 tracked | 2 tracked |
| Shared benchmarks | 0 shared | 0 shared |
Decision tradeoffs
- GPT-4o (11-20) has the larger context window for long prompts, retrieval packs, or transcript analysis.
- GPT-4o (11-20) uniquely exposes Vision and Code execution in local model data.
- Local decision data tags GPT-4o (11-20) for Coding, 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 route or tier on this page.
GPT-4o (11-20)
Unavailable
No complete token price in local provider data
Mistral Magistral Small 2509
$775
Cheapest tracked route/tier: 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 GPT-4o (11-20) and Mistral Magistral Small 2509; plan for SDK, billing, or endpoint changes.
- Check replacement coverage for Vision and Code execution before moving production traffic.
- No overlapping tracked provider route is sourced for Mistral Magistral Small 2509 and GPT-4o (11-20); plan for SDK, billing, or endpoint changes.
- GPT-4o (11-20) adds Vision and Code execution in local capability data.
Specs
| Specification | ||
|---|---|---|
| Released | 2024-11-20 | 2025-09-01 |
| Context window | 128k | — |
| Parameters | 1.76T (8x222B MoE)* | 24B |
| Architecture | Mixture of Experts | - |
| License | Proprietary | Apache 2.0OSI-approved |
| Openness | Proprietary | Open source |
| Commercial use | Commercial use: conditional | Commercial use: permitted |
| Knowledge cutoff | 2023-10 | - |
Pricing and availability
| Pricing attribute | GPT-4o (11-20) | Mistral Magistral Small 2509 |
|---|---|---|
| Input price | - | $0.50/1M tokens |
| Output price | - | $1.50/1M tokens |
| Providers | - |
Capabilities
| Capability | GPT-4o (11-20) | Mistral Magistral Small 2509 |
|---|---|---|
| Vision | Yes | No |
| Multimodal | No | No |
| Reasoning | No | No |
| Function calling | No | No |
| Tool use | No | No |
| Structured outputs | No | No |
| Code execution | Yes | No |
| IDE integration | No | No |
| Computer use | No | No |
| Parallel agents | No | No |
Benchmarks
No shared benchmark scores are currently available for this pair.
Deep dive
The capability footprint differs most on vision: GPT-4o (11-20) and code execution: GPT-4o (11-20). 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: GPT-4o (11-20) has no token price sourced yet and Mistral Magistral Small 2509 has $0.50/1M input tokens. Provider availability is 0 tracked routes versus 2. Treat unknown pricing as an integration gap, then verify the route you will actually call before estimating production spend.
Choose GPT-4o (11-20) 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 GPT-4o (11-20) or Mistral Magistral Small 2509 open source?
GPT-4o (11-20) is listed under Proprietary. Mistral Magistral Small 2509 is listed under Apache 2.0. 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, GPT-4o (11-20) or Mistral Magistral Small 2509?
GPT-4o (11-20) 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 code execution, GPT-4o (11-20) or Mistral Magistral Small 2509?
GPT-4o (11-20) has the clearer documented code execution signal in this comparison. If code execution is mission-critical, validate it against the provider endpoint because model-level support and API-level exposure can differ.
Where can I run GPT-4o (11-20) and Mistral Magistral Small 2509?
GPT-4o (11-20) is available on the tracked providers still being sourced. Mistral Magistral Small 2509 is available on AWS Bedrock and Vercel AI Gateway. Provider coverage can affect latency, region availability, compliance posture, and fallback options.
When should I pick GPT-4o (11-20) over Mistral Magistral Small 2509?
Mistral Magistral Small 2509 is safer overall; choose GPT-4o (11-20) when coding workflow support matters. If your workload also depends on coding workflow support, start with GPT-4o (11-20); if it depends on provider fit, run the same evaluation with Mistral Magistral Small 2509.
Continue comparing
Last reviewed: 2026-06-15. Data sourced from public model cards and provider documentation.