Model comparison
GPT-5-Codex vs Mistral Medium 3.1
GPT-5-Codex is the stronger model overall, scoring 37.9 to 31.9 on the Noometry Index. Mistral Medium 3.1 costs 4.3× less per token, which makes it the better buy when GPT-5-Codex's lead doesn't matter for your workload.
Last verified . 0 shared benchmarks.
Mistral AISummary
- The widest gap is in reasoning, where GPT-5-Codex leads 30.9 to 10.6.
- Mistral Medium 3.1 is cheaper at $0.40 / $2 per million input/output tokens, against $1.25 / $10 for GPT-5-Codex.
- GPT-5-Codex accepts more context: 400K tokens versus 131K.
Side by side
| GPT-5-Codex | Mistral Medium 3.1 | |
|---|---|---|
| Provider | OpenAI | Mistral AI |
| Noometry Index | 37.9 | 31.9 |
| Released | 2025-09-15 | — |
| Weights | Proprietary | Proprietary |
| Context window | 400K | 131K |
| Max output | 128K | 105K |
| Input $ / M tokens | $1.25 | $0.40 |
| Output $ / M tokens | $10 | $2 |
| Results tracked | 3 | 3 |
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Category by category
Coding Not comparable
GPT-5-Codex: 42.4 (#103), Mistral Medium 3.1: —
| Benchmark | GPT-5-Codex | Mistral Medium 3.1 |
|---|---|---|
| WeirdML | 54.5% | — |
Agentic & Tool Use Not comparable
GPT-5-Codex: 31.0 (#72), Mistral Medium 3.1: —
| Benchmark | GPT-5-Codex | Mistral Medium 3.1 |
|---|---|---|
| Terminal-Bench | 44.3% | — |
Reasoning GPT-5-Codex leads
GPT-5-Codex: 30.9 (#83), Mistral Medium 3.1: 10.6 (#341)
| Benchmark | GPT-5-Codex | Mistral Medium 3.1 |
|---|---|---|
| Kagi LLM Benchmark | 70.3% | — |
| NYT Connections (extended) | — | 6.5% |
| Thematic Generalization | — | 20.3% |
Writing & Preference Not comparable
GPT-5-Codex: —, Mistral Medium 3.1: 55.5 (#145)
| Benchmark | GPT-5-Codex | Mistral Medium 3.1 |
|---|---|---|
| EQ-Bench Creative Writing | — | 1476 |
Frequently asked questions
Is GPT-5-Codex better than Mistral Medium 3.1?
GPT-5-Codex is the stronger model overall, scoring 37.9 to 31.9 on the Noometry Index. Mistral Medium 3.1 costs 4.3× less per token, which makes it the better buy when GPT-5-Codex's lead doesn't matter for your workload.
Which is cheaper, GPT-5-Codex or Mistral Medium 3.1?
Mistral Medium 3.1 is cheaper. It lists at $0.40 per million input tokens and $2 per million output tokens; GPT-5-Codex lists at $1.25 and $10.
Which has the bigger context window?
GPT-5-Codex does, with 400K tokens against 131K.
How many benchmarks do GPT-5-Codex and Mistral Medium 3.1 share?
0 benchmarks have published results for both models. GPT-5-Codex has 3 scored results on Noometry and Mistral Medium 3.1 has 3.