GPT-4o (05-13) vs Mistral Large 2
GPT-4o (05-13) (2024) and Mistral Large 2 (2025) are compact production models from OpenAI and MistralAI. GPT-4o (05-13) ships a 128k-token context window, while Mistral Large 2 ships a 128k-token context window. On MMLU PRO, GPT-4o (05-13) leads by 2.8 pts. On pricing, Mistral Large 2 costs $0.48/1M input tokens versus $2.50/1M for the alternative. This comparison covers specs, pricing, API access, capabilities, benchmarks, input and output token costs, and production fit for coding and agent workloads.
Mistral Large 2 is ~421% cheaper at $0.48/1M; pay for GPT-4o (05-13) only for coding workflow support.
Decision scorecard
Local evidence first| Signal | GPT-4o (05-13) | Mistral Large 2 |
|---|---|---|
| Best for | multimodal apps and provider-routed production | multimodal apps, tool-calling agents, and provider-routed production |
| Decision fit | Coding, RAG, and Agents | Coding, RAG, and Agents |
| Context window | 128k | 128k |
| Cheapest output | $10/1M tokens | $2.40/1M tokens |
| Provider routes | 4 tracked | 3 tracked |
| Shared benchmarks | MMLU PRO leader | 4 shared |
Decision tradeoffs
- GPT-4o (05-13) holds a shared-benchmark lead on MMLU PRO, ahead by 2.8 points.
- GPT-4o (05-13) has broader tracked provider coverage for fallback and route flexibility.
- GPT-4o (05-13) uniquely exposes Code execution in local model data.
- Local decision data tags GPT-4o (05-13) for Coding, RAG, and Agents.
- Mistral Large 2 has the lower cheapest tracked output price at $2.40/1M tokens.
- Mistral Large 2 uniquely exposes JSON / Tool use in local model data.
- Local decision data tags Mistral Large 2 for Coding, RAG, and Agents.
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
$984
Cheapest tracked route/tier: AWS Bedrock
Estimated monthly gap: $3,516. Batch, cache, alternate speed tiers, and negotiated pricing are excluded from this local estimate.
Switch friction
- No overlapping tracked provider route is sourced for GPT-4o (05-13) and Mistral Large 2; plan for SDK, billing, or endpoint changes.
- Mistral Large 2 is $7.60/1M tokens lower on cheapest tracked output pricing before cache, batch, or negotiated discounts.
- Check replacement coverage for Code execution before moving production traffic.
- Mistral Large 2 adds JSON / Tool use in local capability data.
- No overlapping tracked provider route is sourced for Mistral Large 2 and GPT-4o (05-13); plan for SDK, billing, or endpoint changes.
- GPT-4o (05-13) is $7.60/1M tokens higher on cheapest tracked output pricing, so quality gains need to justify the spend.
- Check replacement coverage for JSON / Tool use before moving production traffic.
- GPT-4o (05-13) adds Code execution in local capability data.
Specs
| Specification | ||
|---|---|---|
| Released | 2024-05-13 | 2025-11-25 |
| Context window | 128k | 128k |
| Parameters | 1.76T (8x222B MoE)* | 123B |
| Architecture | Mixture of Experts | Decoder Only |
| License | Proprietary | Mistral License |
| Openness | Proprietary | Open weights |
| Weights | Not released | Unknown |
| Code | Unknown | Unknown |
| Commercial use | Commercial use: conditional | Commercial use: non-commercial |
| Knowledge cutoff | 2023-10 | 2025-07 |
Pricing and availability
| Pricing attribute | GPT-4o (05-13) | Mistral Large 2 |
|---|---|---|
| Input price | $2.50/1M tokens | $0.48/1M tokens |
| Output price | $10/1M tokens | $2.40/1M tokens |
| Providers |
Capabilities
| Capability | GPT-4o (05-13) | Mistral Large 2 |
|---|---|---|
| Vision | Yes | Yes |
| Multimodal | Yes | Yes |
| Reasoning | No | No |
| JSON / 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
| Benchmark | GPT-4o (05-13) | Mistral Large 2 |
|---|---|---|
| MMLU PRO | 72.5 | 69.7 |
| HumanEval | 90.2 | 84.8 |
| Massive Multitask Language Understanding | 88.7 | 84.0 |
| HellaSwag | 96.4 | 93.8 |
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Last reviewed: 2026-06-16. Data sourced from public model cards and provider documentation.