Model comparison
GPT-5 Pro vs Mistral Medium 3.5
GPT-5 Pro is the stronger model overall, scoring 46.4 to 40.2 on the Noometry Index. Mistral Medium 3.5 costs 14× less per token, which makes it the better buy when GPT-5 Pro's lead doesn't matter for your workload.
Last verified . 2 shared benchmarks.
Summary
- They share 2 benchmarks with published results for both. GPT-5 Pro scores higher in 4 categories and Mistral Medium 3.5 in 0 categories; 4 gaps are clear of the uncertainty.
- The widest gap is in reasoning, where GPT-5 Pro leads 38.9 to 17.3.
- The biggest single-benchmark swing is Kagi LLM Benchmark: 76.8% for GPT-5 Pro and 41.4% for Mistral Medium 3.5.
- Mistral Medium 3.5 is cheaper at $1.50 / $7.50 per million input/output tokens, against $15 / $120 for GPT-5 Pro.
- GPT-5 Pro accepts more context: 400K tokens versus 262K.
- Mistral Medium 3.5 has downloadable open weights; the other is API-only.
Side by side
| GPT-5 Pro | Mistral Medium 3.5 | |
|---|---|---|
| Provider | OpenAI | Mistral AI |
| Noometry Index | 46.4 | 40.2 |
| Released | 2025-10-06 | — |
| Weights | Proprietary | Open |
| Context window | 400K | 262K |
| Max output | 272K | 210K |
| Input $ / M tokens | $15 | $1.50 |
| Output $ / M tokens | $120 | $7.50 |
| Results tracked | 12 | 22 |
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Category by category
Coding GPT-5 Pro leads
GPT-5 Pro: 44.0 (#80), Mistral Medium 3.5: 36.0 (#213)
| Benchmark | GPT-5 Pro | Mistral Medium 3.5 |
|---|---|---|
| LMArena WebDev | — | 1264 |
| WeirdML | 60.4% | — |
| LMArena Coding | — | 1461 |
| AlgoTune | 1.31 | — |
Reasoning GPT-5 Pro leads
GPT-5 Pro: 38.9 (#62), Mistral Medium 3.5: 17.3 (#295)
| Benchmark | GPT-5 Pro | Mistral Medium 3.5 |
|---|---|---|
| Kagi LLM Benchmark | 76.8% | 41.4% |
| Epoch Capabilities Index | 150.28 | 141.35 |
| ARC-AGI-2 | 18.3% | — |
| SimpleBench | 61.6% | — |
| NYT Connections (extended) | — | 12.9% |
| ARC-AGI-1 | 70.2% | — |
| EnigmaEval | 18.8% | — |
| LMArena Hard Prompts | — | 1436 |
Math GPT-5 Pro leads
GPT-5 Pro: 48.5 (#63), Mistral Medium 3.5: 39.1 (#113)
| Benchmark | GPT-5 Pro | Mistral Medium 3.5 |
|---|---|---|
| FrontierMath (Tiers 1-3) | 55.8% | — |
| FrontierMath Tier 4 | 19.5% | — |
| LMArena Math | — | 1431 |
| FrontierMath Tier 4 (v1) | 14.6% | — |
Knowledge GPT-5 Pro leads
GPT-5 Pro: 56.7 (#42), Mistral Medium 3.5: 40.0 (#126)
| Benchmark | GPT-5 Pro | Mistral Medium 3.5 |
|---|---|---|
| Humanity's Last Exam | 31.6% | — |
| LMArena Expert | — | 1432 |
Multimodal Not comparable
GPT-5 Pro: —, Mistral Medium 3.5: 38.3 (#65)
| Benchmark | GPT-5 Pro | Mistral Medium 3.5 |
|---|---|---|
| LMArena Vision | — | 1223 |
Multilingual Not comparable
GPT-5 Pro: —, Mistral Medium 3.5: 51.9 (#100)
| Benchmark | GPT-5 Pro | Mistral Medium 3.5 |
|---|---|---|
| LMArena Non-English | — | 1404 |
| LMArena Chinese | — | 1442 |
| LMArena French | — | 1448 |
| LMArena German | — | 1451 |
| LMArena Korean | — | 1385 |
| LMArena Russian | — | 1395 |
| LMArena Spanish | — | 1409 |
Instruction Following Not comparable
GPT-5 Pro: —, Mistral Medium 3.5: 74.6 (#90)
| Benchmark | GPT-5 Pro | Mistral Medium 3.5 |
|---|---|---|
| LMArena Instruction Following | — | 1415 |
Long Context Not comparable
GPT-5 Pro: —, Mistral Medium 3.5: 43.2 (#103)
| Benchmark | GPT-5 Pro | Mistral Medium 3.5 |
|---|---|---|
| LMArena Longer Query | — | 1415 |
Writing & Preference Not comparable
GPT-5 Pro: —, Mistral Medium 3.5: 58.5 (#117)
| Benchmark | GPT-5 Pro | Mistral Medium 3.5 |
|---|---|---|
| LMArena Text | — | 1421 |
| LMArena Creative Writing | — | 1374 |
| EQ-Bench 4 | — | 993 |
| LMArena Multi-Turn | — | 1423 |
Frequently asked questions
Is GPT-5 Pro better than Mistral Medium 3.5?
GPT-5 Pro is the stronger model overall, scoring 46.4 to 40.2 on the Noometry Index. Mistral Medium 3.5 costs 14× 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 Medium 3.5?
Mistral Medium 3.5 is cheaper. It lists at $1.50 per million input tokens and $7.50 per million output tokens; GPT-5 Pro lists at $15 and $120.
Is GPT-5 Pro or Mistral Medium 3.5 better for coding?
GPT-5 Pro scores higher on coding benchmarks: 44.0 versus 36.0 in the Noometry coding category.
Which has the bigger context window?
GPT-5 Pro does, with 400K tokens against 262K.
How many benchmarks do GPT-5 Pro and Mistral Medium 3.5 share?
2 benchmarks have published results for both models. GPT-5 Pro has 12 scored results on Noometry and Mistral Medium 3.5 has 22.