GPT-5.6 vs Mistral Large
Pricing, benchmarks, and use case comparison
Quick take
- •GPT-5.6 is meaningfully stronger at multimodal (87 vs 65 on our capability index).
- •Mistral Large is 60% cheaper on input tokens, which compounds fast on high-volume or agentic workloads.
Specs comparison
| GPT-5.6 | Mistral Large | |
|---|---|---|
| Provider | OpenAI | Mistral AI |
| Type | Closed source | Closed source |
| Context window | Not announced | ✓128000 |
| Input / 1M tokens | 5 | ✓2.00 |
| Output / 1M tokens | 30 | 6.00 |
| Release date | 2026-06 | 2024-02 |
Benchmarks
| Benchmark | GPT-5.6 | Mistral Large |
|---|---|---|
| Terminal-Bench 2.1 (Sol) | 88.8% | - |
| Terminal-Bench 2.1 (Terra) | 82.5% | - |
| Terminal-Bench 2.1 (Luna) | 84.3% | - |
| Terminal-Bench 2.1 | 88.8 | - |
| ExploitBench | Competitive with Anthropic Mythos Preview | - |
| ExploitGym | Significant improvements | - |
| GeneBench v1 | Not announced | - |
| MMLU | - | 84.0% |
| HumanEval | - | 92.0% |
Scores sourced from official provider release posts and independent benchmark aggregators.
Which should you choose?
Choose GPT-5.6 if...
- →You want to standardize on one model generation but route requests across cost/quality tiers
- →You are an approved preview partner exploring the newest OpenAI capabilities
- →Workloads spanning agentic coding, knowledge work, and research where tier flexibility helps
Choose Mistral Large if...
- →You need a strong European-built flagship with open weights
- →Your work is multilingual or requires nuanced reasoning
- →You want structured/JSON output and solid coding ability
- →You need the option to self-host for data sovereignty