GPT-4o (05-13) vs Mistral Large 2.1 (2411)
GPT-4o (05-13) (2024) and Mistral Large 2.1 (2411) (2024) are compact production models from OpenAI and MistralAI. GPT-4o (05-13) ships a 128k-token context window, while Mistral Large 2.1 (2411) ships a 128k-token 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 Large 2.1 (2411) is safer overall; choose GPT-4o (05-13) when coding workflow support matters.
Decision scorecard
Local evidence first| Signal | GPT-4o (05-13) | Mistral Large 2.1 (2411) |
|---|---|---|
| Best for | multimodal apps and provider-routed production | tool-calling agents |
| Decision fit | Coding, RAG, and Agents | RAG, Agents, and Long context |
| Context window | 128k | 128k |
| Cheapest output | $10/1M tokens | - |
| Provider routes | 4 tracked | 0 tracked |
| Shared benchmarks | 0 shared | 0 shared |
Decision tradeoffs
- GPT-4o (05-13) has broader tracked provider coverage for fallback and procurement flexibility.
- GPT-4o (05-13) uniquely exposes Vision, Multimodal, and Code execution in local model data.
- Local decision data tags GPT-4o (05-13) for Coding, RAG, and Agents.
- Mistral Large 2.1 (2411) uniquely exposes Function calling and Tool use in local model data.
- Local decision data tags Mistral Large 2.1 (2411) for RAG, Agents, and Long context.
Monthly cost at traffic
Estimate token spend from the cheapest tracked input and output route or tier on this page.
GPT-4o (05-13)
$4,500
Cheapest tracked route/tier: OpenAI API
Mistral Large 2.1 (2411)
Unavailable
No complete token price in local provider data
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 (05-13) and Mistral Large 2.1 (2411); plan for SDK, billing, or endpoint changes.
- Check replacement coverage for Vision, Multimodal, and Code execution before moving production traffic.
- Mistral Large 2.1 (2411) adds Function calling and Tool use in local capability data.
- No overlapping tracked provider route is sourced for Mistral Large 2.1 (2411) and GPT-4o (05-13); plan for SDK, billing, or endpoint changes.
- Check replacement coverage for Function calling and Tool use before moving production traffic.
- GPT-4o (05-13) adds Vision, Multimodal, and Code execution in local capability data.
Specs
| Specification | ||
|---|---|---|
| Released | 2024-05-13 | 2024-11-18 |
| Context window | 128k | 128k |
| Parameters | 1.76T (8x222B MoE)* | 123B |
| Architecture | Mixture of Experts | Decoder Only |
| License | Proprietary | Mistral License |
| Openness | Proprietary | Open weights |
| Commercial use | Commercial use: conditional | Commercial use: non-commercial |
| Knowledge cutoff | 2023-10 | - |
Pricing and availability
| Pricing attribute | GPT-4o (05-13) | Mistral Large 2.1 (2411) |
|---|---|---|
| Input price | $2.50/1M tokens | - |
| Output price | $10/1M tokens | - |
| Providers | - |
Capabilities
| Capability | GPT-4o (05-13) | Mistral Large 2.1 (2411) |
|---|---|---|
| Vision | Yes | No |
| Multimodal | Yes | No |
| Reasoning | No | No |
| Function calling | No | Yes |
| Tool use | No | Yes |
| Structured outputs | Yes | Yes |
| 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 (05-13), multimodal input: GPT-4o (05-13), function calling: Mistral Large 2.1 (2411), tool use: Mistral Large 2.1 (2411), and code execution: GPT-4o (05-13). Both models share structured outputs, 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 (05-13) has $2.50/1M input tokens and Mistral Large 2.1 (2411) has no token price sourced yet. Provider availability is 4 tracked routes versus 0. Treat unknown pricing as an integration gap, then verify the route you will actually call before estimating production spend.
Choose GPT-4o (05-13) when coding workflow support and broader provider choice are central to the workload. Choose Mistral Large 2.1 (2411) 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.
FAQ
Which has a larger context window, GPT-4o (05-13) or Mistral Large 2.1 (2411)?
GPT-4o (05-13) supports 128k tokens, while Mistral Large 2.1 (2411) supports 128k tokens. That gap matters most for long documents, large codebases, retrieval-heavy agents, and conversations where earlier context must remain visible.
Is GPT-4o (05-13) or Mistral Large 2.1 (2411) open source?
GPT-4o (05-13) is listed under Proprietary. Mistral Large 2.1 (2411) is listed under Mistral License. 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 (05-13) or Mistral Large 2.1 (2411)?
GPT-4o (05-13) 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, GPT-4o (05-13) or Mistral Large 2.1 (2411)?
GPT-4o (05-13) 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, GPT-4o (05-13) or Mistral Large 2.1 (2411)?
Mistral Large 2.1 (2411) 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.
Where can I run GPT-4o (05-13) and Mistral Large 2.1 (2411)?
GPT-4o (05-13) is available on Azure OpenAI, OpenAI API, OpenRouter, and Replicate API. Mistral Large 2.1 (2411) is available on the tracked providers still being sourced. Provider coverage can affect latency, region availability, compliance posture, and fallback options.
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Last reviewed: 2026-06-16. Data sourced from public model cards and provider documentation.