Model comparison
GPT-5.1-Codex vs Mistral Large 4
Mistral Large 4 is the stronger model overall, scoring 43.1 to 38.6 on the Noometry Index.
Last verified . 1 shared benchmarks.
Mistral AISummary
- They share 1 benchmark with published results for both. GPT-5.1-Codex scores higher in 0 categories and Mistral Large 4 in 2 categories; 2 gaps are clear of the uncertainty.
- The widest gap is in math, where Mistral Large 4 leads 40.4 to 30.3.
- Mistral Large 4 is cheaper at $0.68 / $2.09 per million input/output tokens, against $1.25 / $10 for GPT-5.1-Codex.
- Mistral Large 4 accepts more context: 1.05M tokens versus 400K.
Side by side
| GPT-5.1-Codex | Mistral Large 4 | |
|---|---|---|
| Provider | OpenAI | Mistral AI |
| Noometry Index | 38.6 | 43.1 |
| Released | 2025-11-12 | 2026-10-06 |
| Weights | Proprietary | Proprietary |
| Context window | 400K | 1.05M |
| Max output | 128K | 262K |
| Input $ / M tokens | $1.25 | $0.68 |
| Output $ / M tokens | $10 | $2.09 |
| Results tracked | 6 | 15 |
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Category by category
Coding Mistral Large 4 leads
GPT-5.1-Codex: 41.9 (#116), Mistral Large 4: 48.6 (#57)
| Benchmark | GPT-5.1-Codex | Mistral Large 4 |
|---|---|---|
| LMArena WebDev | 1337 | 1541 |
| SWE-bench Verified (bash only) | 66% | — |
| LMArena Coding | — | 1475 |
| ALE-Bench | 1,245 | — |
Agentic & Tool Use Not comparable
GPT-5.1-Codex: 38.0 (#33), Mistral Large 4: —
| Benchmark | GPT-5.1-Codex | Mistral Large 4 |
|---|---|---|
| Terminal-Bench | 60.4% | — |
| METR Time Horizons | 70.8% | — |
Reasoning Not comparable
GPT-5.1-Codex: —, Mistral Large 4: 22.5 (#192)
| Benchmark | GPT-5.1-Codex | Mistral Large 4 |
|---|---|---|
| NYT Connections (extended) | — | 27.4% |
| LMArena Hard Prompts | — | 1444 |
Math Mistral Large 4 leads
GPT-5.1-Codex: 30.3 (#235), Mistral Large 4: 40.4 (#91)
| Benchmark | GPT-5.1-Codex | Mistral Large 4 |
|---|---|---|
| ProofBench | 9% | — |
| LMArena Math | — | 1488 |
Knowledge Not comparable
GPT-5.1-Codex: —, Mistral Large 4: 36.6 (#166)
| Benchmark | GPT-5.1-Codex | Mistral Large 4 |
|---|---|---|
| SimpleQA Verified | — | 20% |
| LMArena Expert | — | 1447 |
Multilingual Not comparable
GPT-5.1-Codex: —, Mistral Large 4: 52.6 (#82)
| Benchmark | GPT-5.1-Codex | Mistral Large 4 |
|---|---|---|
| LMArena Non-English | — | 1415 |
| LMArena Chinese | — | 1491 |
| LMArena Russian | — | 1414 |
Instruction Following Not comparable
GPT-5.1-Codex: —, Mistral Large 4: 75.0 (#76)
| Benchmark | GPT-5.1-Codex | Mistral Large 4 |
|---|---|---|
| LMArena Instruction Following | — | 1424 |
Long Context Not comparable
GPT-5.1-Codex: —, Mistral Large 4: 43.6 (#89)
| Benchmark | GPT-5.1-Codex | Mistral Large 4 |
|---|---|---|
| LMArena Longer Query | — | 1429 |
Writing & Preference Not comparable
GPT-5.1-Codex: —, Mistral Large 4: 60.4 (#97)
| Benchmark | GPT-5.1-Codex | Mistral Large 4 |
|---|---|---|
| LMArena Text | — | 1427 |
| LMArena Creative Writing | — | 1361 |
| LMArena Multi-Turn | — | 1424 |
Frequently asked questions
Is GPT-5.1-Codex better than Mistral Large 4?
Mistral Large 4 is the stronger model overall, scoring 43.1 to 38.6 on the Noometry Index.
Which is cheaper, GPT-5.1-Codex or Mistral Large 4?
Mistral Large 4 is cheaper. It lists at $0.68 per million input tokens and $2.09 per million output tokens; GPT-5.1-Codex lists at $1.25 and $10.
Is GPT-5.1-Codex or Mistral Large 4 better for coding?
Mistral Large 4 scores higher on coding benchmarks: 48.6 versus 41.9 in the Noometry coding category.
Which has the bigger context window?
Mistral Large 4 does, with 1.05M tokens against 400K.
How many benchmarks do GPT-5.1-Codex and Mistral Large 4 share?
1 benchmark has published results for both models. GPT-5.1-Codex has 6 scored results on Noometry and Mistral Large 4 has 15.