Model comparison
GPT-5.1-Codex vs Mistral Small 3.2
GPT-5.1-Codex is the stronger model overall, scoring 38.6 to 31.2 on the Noometry Index. Mistral Small 3.2 costs 26× less per token, which makes it the better buy when GPT-5.1-Codex's lead doesn't matter for your workload.
Last verified . 0 shared benchmarks.
Mistral AISummary
- The widest gap is in math, where GPT-5.1-Codex leads 30.3 to 26.3.
- Mistral Small 3.2 is cheaper at $0.0938 / $0.25 per million input/output tokens, against $1.25 / $10 for GPT-5.1-Codex.
- GPT-5.1-Codex accepts more context: 400K tokens versus 256K.
- Mistral Small 3.2 has downloadable open weights; the other is API-only.
Side by side
| GPT-5.1-Codex | Mistral Small 3.2 | |
|---|---|---|
| Provider | OpenAI | Mistral AI |
| Noometry Index | 38.6 | 31.2 |
| Released | 2025-11-12 | 2025-06-20 |
| Weights | Proprietary | Open |
| Context window | 400K | 256K |
| Max output | 128K | 16K |
| Input $ / M tokens | $1.25 | $0.0938 |
| Output $ / M tokens | $10 | $0.25 |
| Results tracked | 6 | 6 |
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Category by category
Coding Not comparable
GPT-5.1-Codex: 41.9 (#116), Mistral Small 3.2: —
| Benchmark | GPT-5.1-Codex | Mistral Small 3.2 |
|---|---|---|
| SWE-bench Verified (bash only) | 66% | — |
| LMArena WebDev | 1337 | — |
| ALE-Bench | 1,245 | — |
Agentic & Tool Use Not comparable
GPT-5.1-Codex: 38.0 (#33), Mistral Small 3.2: —
| Benchmark | GPT-5.1-Codex | Mistral Small 3.2 |
|---|---|---|
| Terminal-Bench | 60.4% | — |
| METR Time Horizons | 70.8% | — |
Reasoning Not comparable
GPT-5.1-Codex: —, Mistral Small 3.2: 18.1 (#287)
| Benchmark | GPT-5.1-Codex | Mistral Small 3.2 |
|---|---|---|
| Kagi LLM Benchmark | — | 40.4% |
| Chess Puzzles | — | 1% |
| Epoch Capabilities Index | — | 131.74 |
Math GPT-5.1-Codex leads
GPT-5.1-Codex: 30.3 (#235), Mistral Small 3.2: 26.3 (#260)
| Benchmark | GPT-5.1-Codex | Mistral Small 3.2 |
|---|---|---|
| OTIS Mock AIME 2024-2025 | — | 30.3% |
| ProofBench | 9% | — |
Knowledge Not comparable
GPT-5.1-Codex: —, Mistral Small 3.2: 26.7 (#256)
| Benchmark | GPT-5.1-Codex | Mistral Small 3.2 |
|---|---|---|
| GPQA Diamond | — | 49.1% |
Writing & Preference Not comparable
GPT-5.1-Codex: —, Mistral Small 3.2: 45.0 (#224)
| Benchmark | GPT-5.1-Codex | Mistral Small 3.2 |
|---|---|---|
| EQ-Bench Creative Writing | — | 1255 |
Frequently asked questions
Is GPT-5.1-Codex better than Mistral Small 3.2?
GPT-5.1-Codex is the stronger model overall, scoring 38.6 to 31.2 on the Noometry Index. Mistral Small 3.2 costs 26× less per token, which makes it the better buy when GPT-5.1-Codex's lead doesn't matter for your workload.
Which is cheaper, GPT-5.1-Codex or Mistral Small 3.2?
Mistral Small 3.2 is cheaper. It lists at $0.0938 per million input tokens and $0.25 per million output tokens; GPT-5.1-Codex lists at $1.25 and $10.
Which has the bigger context window?
GPT-5.1-Codex does, with 400K tokens against 256K.
How many benchmarks do GPT-5.1-Codex and Mistral Small 3.2 share?
0 benchmarks have published results for both models. GPT-5.1-Codex has 6 scored results on Noometry and Mistral Small 3.2 has 6.