Model comparison
GPT-5.3 Codex vs Mistral Medium 3.1
GPT-5.3 Codex is the stronger model overall, scoring 45.8 to 31.9 on the Noometry Index. Mistral Medium 3.1 costs 6.0× less per token, which makes it the better buy when GPT-5.3 Codex's lead doesn't matter for your workload.
Last verified . 0 shared benchmarks.
Mistral AISummary
- Mistral Medium 3.1 is cheaper at $0.40 / $2 per million input/output tokens, against $1.75 / $14 for GPT-5.3 Codex.
- GPT-5.3 Codex accepts more context: 400K tokens versus 131K.
Side by side
| GPT-5.3 Codex | Mistral Medium 3.1 | |
|---|---|---|
| Provider | OpenAI | Mistral AI |
| Noometry Index | 45.8 | 31.9 |
| Released | 2026-02-05 | — |
| Weights | Proprietary | Proprietary |
| Context window | 400K | 131K |
| Max output | 128K | 105K |
| Input $ / M tokens | $1.75 | $0.40 |
| Output $ / M tokens | $14 | $2 |
| Results tracked | 8 | 3 |
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Category by category
Coding Not comparable
GPT-5.3 Codex: 48.6 (#56), Mistral Medium 3.1: —
| Benchmark | GPT-5.3 Codex | Mistral Medium 3.1 |
|---|---|---|
| SWE-bench Verified | 74.8% | — |
| LMArena WebDev | 1409 | — |
| WeirdML | 79.3% | — |
| ALE-Bench | 1,655 | — |
Agentic & Tool Use Not comparable
GPT-5.3 Codex: 48.0 (#9), Mistral Medium 3.1: —
| Benchmark | GPT-5.3 Codex | Mistral Medium 3.1 |
|---|---|---|
| Terminal-Bench | 78.4% | — |
| METR Time Horizons | 74.5% | — |
| Vending-Bench 2 | 5,940 | — |
Reasoning Not comparable
GPT-5.3 Codex: —, Mistral Medium 3.1: 10.6 (#341)
| Benchmark | GPT-5.3 Codex | Mistral Medium 3.1 |
|---|---|---|
| NYT Connections (extended) | — | 6.5% |
| Thematic Generalization | — | 20.3% |
| Epoch Capabilities Index | 156.77 | — |
Writing & Preference Not comparable
GPT-5.3 Codex: —, Mistral Medium 3.1: 55.5 (#145)
| Benchmark | GPT-5.3 Codex | Mistral Medium 3.1 |
|---|---|---|
| EQ-Bench Creative Writing | — | 1476 |
Frequently asked questions
Is GPT-5.3 Codex better than Mistral Medium 3.1?
GPT-5.3 Codex is the stronger model overall, scoring 45.8 to 31.9 on the Noometry Index. Mistral Medium 3.1 costs 6.0× less per token, which makes it the better buy when GPT-5.3 Codex's lead doesn't matter for your workload.
Which is cheaper, GPT-5.3 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-5.3 Codex lists at $1.75 and $14.
Which has the bigger context window?
GPT-5.3 Codex does, with 400K tokens against 131K.
How many benchmarks do GPT-5.3 Codex and Mistral Medium 3.1 share?
0 benchmarks have published results for both models. GPT-5.3 Codex has 8 scored results on Noometry and Mistral Medium 3.1 has 3.