Model comparison
GPT-5 Pro vs Mistral Large 4
GPT-5 Pro is the stronger model overall, scoring 46.4 to 43.1 on the Noometry Index. Mistral Large 4 costs 40× less per token, which makes it the better buy when GPT-5 Pro's lead doesn't matter for your workload.
Last verified . 0 shared benchmarks.
Mistral AISummary
- The widest gap is in knowledge, where GPT-5 Pro leads 56.7 to 36.6.
- Mistral Large 4 is cheaper at $0.68 / $2.09 per million input/output tokens, against $15 / $120 for GPT-5 Pro.
- Mistral Large 4 accepts more context: 1.05M tokens versus 400K.
Side by side
| GPT-5 Pro | Mistral Large 4 | |
|---|---|---|
| Provider | OpenAI | Mistral AI |
| Noometry Index | 46.4 | 43.1 |
| Released | 2025-10-06 | 2026-10-06 |
| Weights | Proprietary | Proprietary |
| Context window | 400K | 1.05M |
| Max output | 272K | 262K |
| Input $ / M tokens | $15 | $0.68 |
| Output $ / M tokens | $120 | $2.09 |
| Results tracked | 12 | 15 |
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Category by category
Coding Mistral Large 4 leads
GPT-5 Pro: 44.0 (#80), Mistral Large 4: 48.6 (#57)
| Benchmark | GPT-5 Pro | Mistral Large 4 |
|---|---|---|
| LMArena WebDev | — | 1541 |
| WeirdML | 60.4% | — |
| LMArena Coding | — | 1475 |
| AlgoTune | 1.31 | — |
Reasoning GPT-5 Pro leads
GPT-5 Pro: 38.9 (#62), Mistral Large 4: 22.5 (#192)
| Benchmark | GPT-5 Pro | Mistral Large 4 |
|---|---|---|
| ARC-AGI-2 | 18.3% | — |
| SimpleBench | 61.6% | — |
| Kagi LLM Benchmark | 76.8% | — |
| NYT Connections (extended) | — | 27.4% |
| ARC-AGI-1 | 70.2% | — |
| EnigmaEval | 18.8% | — |
| LMArena Hard Prompts | — | 1444 |
| Epoch Capabilities Index | 150.28 | — |
Math GPT-5 Pro leads
GPT-5 Pro: 48.5 (#63), Mistral Large 4: 40.4 (#91)
| Benchmark | GPT-5 Pro | Mistral Large 4 |
|---|---|---|
| FrontierMath (Tiers 1-3) | 55.8% | — |
| FrontierMath Tier 4 | 19.5% | — |
| LMArena Math | — | 1488 |
| FrontierMath Tier 4 (v1) | 14.6% | — |
Knowledge GPT-5 Pro leads
GPT-5 Pro: 56.7 (#42), Mistral Large 4: 36.6 (#166)
| Benchmark | GPT-5 Pro | Mistral Large 4 |
|---|---|---|
| Humanity's Last Exam | 31.6% | — |
| SimpleQA Verified | — | 20% |
| LMArena Expert | — | 1447 |
Multilingual Not comparable
GPT-5 Pro: —, Mistral Large 4: 52.6 (#82)
| Benchmark | GPT-5 Pro | Mistral Large 4 |
|---|---|---|
| LMArena Non-English | — | 1415 |
| LMArena Chinese | — | 1491 |
| LMArena Russian | — | 1414 |
Instruction Following Not comparable
GPT-5 Pro: —, Mistral Large 4: 75.0 (#76)
| Benchmark | GPT-5 Pro | Mistral Large 4 |
|---|---|---|
| LMArena Instruction Following | — | 1424 |
Long Context Not comparable
GPT-5 Pro: —, Mistral Large 4: 43.6 (#89)
| Benchmark | GPT-5 Pro | Mistral Large 4 |
|---|---|---|
| LMArena Longer Query | — | 1429 |
Writing & Preference Not comparable
GPT-5 Pro: —, Mistral Large 4: 60.4 (#97)
| Benchmark | GPT-5 Pro | Mistral Large 4 |
|---|---|---|
| LMArena Text | — | 1427 |
| LMArena Creative Writing | — | 1361 |
| LMArena Multi-Turn | — | 1424 |
Frequently asked questions
Is GPT-5 Pro better than Mistral Large 4?
GPT-5 Pro is the stronger model overall, scoring 46.4 to 43.1 on the Noometry Index. Mistral Large 4 costs 40× less per token, which makes it the better buy when GPT-5 Pro's lead doesn't matter for your workload.
Which is cheaper, GPT-5 Pro 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 Pro lists at $15 and $120.
Is GPT-5 Pro or Mistral Large 4 better for coding?
Mistral Large 4 scores higher on coding benchmarks: 48.6 versus 44.0 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 Pro and Mistral Large 4 share?
0 benchmarks have published results for both models. GPT-5 Pro has 12 scored results on Noometry and Mistral Large 4 has 15.