Model comparison
GPT-5-Codex vs Mistral Medium
GPT-5-Codex is the stronger model overall, scoring 37.9 to 36.3 on the Noometry Index.
Last verified . 2 shared benchmarks.
Mistral AISummary
- They share 2 benchmarks with published results for both. GPT-5-Codex scores higher in 3 categories and Mistral Medium in 0 categories; 3 gaps are clear of the uncertainty.
- The widest gap is in coding, where GPT-5-Codex leads 42.4 to 34.2.
- The biggest single-benchmark swing is Kagi LLM Benchmark: 70.3% for GPT-5-Codex and 50% for Mistral Medium.
- Mistral Medium is cheaper at $1.50 / $7.50 per million input/output tokens, against $1.25 / $10 for GPT-5-Codex.
- GPT-5-Codex accepts more context: 400K tokens versus 262K.
- Mistral Medium has downloadable open weights; the other is API-only.
Side by side
| GPT-5-Codex | Mistral Medium | |
|---|---|---|
| Provider | OpenAI | Mistral AI |
| Noometry Index | 37.9 | 36.3 |
| Released | 2025-09-15 | 2023-12-11 |
| Weights | Proprietary | Open |
| Context window | 400K | 262K |
| Max output | 128K | 262K |
| Input $ / M tokens | $1.25 | $1.50 |
| Output $ / M tokens | $10 | $7.50 |
| Results tracked | 3 | 36 |
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Category by category
Coding GPT-5-Codex leads
GPT-5-Codex: 42.4 (#103), Mistral Medium: 34.2 (#243)
| Benchmark | GPT-5-Codex | Mistral Medium |
|---|---|---|
| WeirdML | 54.5% | 43.7% |
| FrontierCode | — | 8% |
| SciCode | — | 40.2% |
| LMArena Coding | — | 1434 |
| ALE-Bench | — | 763.98 |
Agentic & Tool Use GPT-5-Codex leads
GPT-5-Codex: 31.0 (#72), Mistral Medium: 28.3 (#90)
| Benchmark | GPT-5-Codex | Mistral Medium |
|---|---|---|
| Terminal-Bench | 44.3% | — |
| Berkeley Function Calling Leaderboard | — | 37.7% |
Reasoning GPT-5-Codex leads
GPT-5-Codex: 30.9 (#83), Mistral Medium: 24.0 (#167)
| Benchmark | GPT-5-Codex | Mistral Medium |
|---|---|---|
| Kagi LLM Benchmark | 70.3% | 50% |
| CritPt | — | 0% |
| LMArena Hard Prompts | — | 1426 |
| DTBench | — | 75.5% |
| LMCA | — | 26.1% |
| Surface Evolver Bench | — | 26.9% |
Math Not comparable
GPT-5-Codex: —, Mistral Medium: 28.1 (#245)
| Benchmark | GPT-5-Codex | Mistral Medium |
|---|---|---|
| OTIS Mock AIME 2024-2025 | — | 32.2% |
| ProofBench | — | 9% |
| LMArena Math | — | 1408 |
| MATH Level 5 | — | 81.6% |
| FrontierMath (Feb 2025 set) | — | 0.3% |
Knowledge Not comparable
GPT-5-Codex: —, Mistral Medium: 25.0 (#265)
| Benchmark | GPT-5-Codex | Mistral Medium |
|---|---|---|
| GPQA Diamond | — | 59.5% |
| Humanity's Last Exam | — | 4.5% |
| Vectara Hallucination Rate | — | 22.7% |
| LMArena Expert | — | 1408 |
Multimodal Not comparable
GPT-5-Codex: —, Mistral Medium: 35.3 (#88)
| Benchmark | GPT-5-Codex | Mistral Medium |
|---|---|---|
| LMArena Vision | — | 1172 |
Multilingual Not comparable
GPT-5-Codex: —, Mistral Medium: 52.1 (#91)
| Benchmark | GPT-5-Codex | Mistral Medium |
|---|---|---|
| LMArena Non-English | — | 1408 |
| LMArena Chinese | — | 1447 |
| LMArena French | — | 1459 |
| LMArena German | — | 1432 |
| LMArena Japanese | — | 1378 |
| LMArena Korean | — | 1380 |
| LMArena Russian | — | 1411 |
| LMArena Spanish | — | 1433 |
Instruction Following Not comparable
GPT-5-Codex: —, Mistral Medium: 73.7 (#116)
| Benchmark | GPT-5-Codex | Mistral Medium |
|---|---|---|
| LMArena Instruction Following | — | 1398 |
Long Context Not comparable
GPT-5-Codex: —, Mistral Medium: 42.9 (#114)
| Benchmark | GPT-5-Codex | Mistral Medium |
|---|---|---|
| LMArena Longer Query | — | 1406 |
Writing & Preference Not comparable
GPT-5-Codex: —, Mistral Medium: 60.0 (#103)
| Benchmark | GPT-5-Codex | Mistral Medium |
|---|---|---|
| LMArena Text | — | 1424 |
| LMArena Creative Writing | — | 1391 |
| Short-Story Creative Writing | — | 77.3% |
| LMArena Multi-Turn | — | 1418 |
Frequently asked questions
Is GPT-5-Codex better than Mistral Medium?
GPT-5-Codex is the stronger model overall, scoring 37.9 to 36.3 on the Noometry Index.
Which is cheaper, GPT-5-Codex or Mistral Medium?
Mistral Medium is cheaper. It lists at $1.50 per million input tokens and $7.50 per million output tokens; GPT-5-Codex lists at $1.25 and $10.
Is GPT-5-Codex or Mistral Medium better for coding?
GPT-5-Codex scores higher on coding benchmarks: 42.4 versus 34.2 in the Noometry coding category.
Which has the bigger context window?
GPT-5-Codex does, with 400K tokens against 262K.
How many benchmarks do GPT-5-Codex and Mistral Medium share?
2 benchmarks have published results for both models. GPT-5-Codex has 3 scored results on Noometry and Mistral Medium has 36.