Model comparison
GPT-5 Mini vs Mistral Medium 3.5
GPT-5 Mini is the stronger model overall, scoring 41.8 to 40.2 on the Noometry Index.
Last verified . 19 shared benchmarks.
Mistral AISummary
- They share 19 benchmarks with published results for both. GPT-5 Mini scores higher in 5 categories and Mistral Medium 3.5 in 4 categories; 9 gaps are clear of the uncertainty.
- The widest gap is in math, where GPT-5 Mini leads 46.7 to 39.1.
- The biggest single-benchmark swing is Kagi LLM Benchmark: 70.3% for GPT-5 Mini and 41.4% for Mistral Medium 3.5.
- GPT-5 Mini is cheaper at $0.25 / $2 per million input/output tokens, against $1.50 / $7.50 for Mistral Medium 3.5.
- GPT-5 Mini 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 Mini | Mistral Medium 3.5 | |
|---|---|---|
| Provider | OpenAI | Mistral AI |
| Noometry Index | 41.8 | 40.2 |
| Released | 2025-08-07 | — |
| Weights | Proprietary | Open |
| Context window | 400K | 262K |
| Max output | 128K | 210K |
| Input $ / M tokens | $0.25 | $1.50 |
| Output $ / M tokens | $2 | $7.50 |
| Results tracked | 60 | 22 |
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Category by category
Coding GPT-5 Mini leads
GPT-5 Mini: 40.1 (#146), Mistral Medium 3.5: 36.0 (#213)
| Benchmark | GPT-5 Mini | Mistral Medium 3.5 |
|---|---|---|
| LMArena Coding | 1406 | 1461 |
| SWE-bench Verified | 64.7% | — |
| SWE-bench Verified (bash only) | 59.8% | — |
| LMArena WebDev | — | 1264 |
| SWE-bench Multilingual | 39.7% | — |
| SciCode | 39.2% | — |
| WeirdML | 52.7% | — |
| ALE-Bench | 799.77 | — |
| AlgoTune | 1.38 | — |
Agentic & Tool Use Not comparable
GPT-5 Mini: 31.1 (#70), Mistral Medium 3.5: —
| Benchmark | GPT-5 Mini | Mistral Medium 3.5 |
|---|---|---|
| Terminal-Bench | 34.8% | — |
| Berkeley Function Calling Leaderboard | 55.5% | — |
| Vending-Bench 2 | -31.18 | — |
Reasoning GPT-5 Mini leads
GPT-5 Mini: 23.9 (#168), Mistral Medium 3.5: 17.3 (#295)
| Benchmark | GPT-5 Mini | Mistral Medium 3.5 |
|---|---|---|
| Kagi LLM Benchmark | 70.3% | 41.4% |
| LMArena Hard Prompts | 1380 | 1436 |
| Epoch Capabilities Index | 145.52 | 141.35 |
| ARC-AGI-2 | 4.4% | — |
| NYT Connections (extended) | — | 12.9% |
| ARC-AGI-1 | 54.3% | — |
| CritPt | 0% | — |
| Chess Puzzles | 30% | — |
| EnigmaEval | 8.2% | — |
| Mystery Game Puzzles | 10% | — |
| DTBench | 80.5% | — |
| LMCA | 34.2% | — |
| ForecastBench | 61 | — |
Math GPT-5 Mini leads
GPT-5 Mini: 46.7 (#69), Mistral Medium 3.5: 39.1 (#113)
| Benchmark | GPT-5 Mini | Mistral Medium 3.5 |
|---|---|---|
| LMArena Math | 1378 | 1431 |
| FrontierMath (Tiers 1-3) | 46.7% | — |
| FrontierMath Tier 4 | 12.2% | — |
| OTIS Mock AIME 2024-2025 | 86.7% | — |
| ProofBench | 9% | — |
| Omni-MATH | 72.2% | — |
| MATH Level 5 | 97.8% | — |
| FrontierMath (Feb 2025 set) | 27.2% | — |
| FrontierMath Tier 4 (v1) | 6.3% | — |
Knowledge GPT-5 Mini leads
GPT-5 Mini: 45.6 (#86), Mistral Medium 3.5: 40.0 (#126)
| Benchmark | GPT-5 Mini | Mistral Medium 3.5 |
|---|---|---|
| LMArena Expert | 1379 | 1432 |
| GPQA Diamond | 75% | — |
| Humanity's Last Exam | 19.4% | — |
| SimpleQA Verified | 21.6% | — |
| MMLU-Pro | 83.5% | — |
| Confabulations | 13.3% | — |
| Vectara Hallucination Rate | 12.9% | — |
| GPQA (HELM) | 75.6% | — |
Multimodal Mistral Medium 3.5 leads
GPT-5 Mini: 35.6 (#85), Mistral Medium 3.5: 38.3 (#65)
| Benchmark | GPT-5 Mini | Mistral Medium 3.5 |
|---|---|---|
| LMArena Vision | 1202 | 1223 |
| VPCT | 40.2% | — |
Multilingual Mistral Medium 3.5 leads
GPT-5 Mini: 48.9 (#137), Mistral Medium 3.5: 51.9 (#100)
| Benchmark | GPT-5 Mini | Mistral Medium 3.5 |
|---|---|---|
| LMArena Non-English | 1363 | 1404 |
| LMArena Chinese | 1385 | 1442 |
| LMArena French | 1386 | 1448 |
| LMArena German | 1366 | 1451 |
| LMArena Korean | 1308 | 1385 |
| LMArena Russian | 1362 | 1395 |
| LMArena Spanish | 1355 | 1409 |
| LMArena Japanese | 1341 | — |
Instruction Following GPT-5 Mini leads
GPT-5 Mini: 76.2 (#46), Mistral Medium 3.5: 74.6 (#90)
| Benchmark | GPT-5 Mini | Mistral Medium 3.5 |
|---|---|---|
| LMArena Instruction Following | 1357 | 1415 |
| IFEval | 92.7% | — |
Long Context Mistral Medium 3.5 leads
GPT-5 Mini: 41.9 (#132), Mistral Medium 3.5: 43.2 (#103)
| Benchmark | GPT-5 Mini | Mistral Medium 3.5 |
|---|---|---|
| LMArena Longer Query | 1355 | 1415 |
| Fiction.LiveBench | 69.4% | — |
Writing & Preference Mistral Medium 3.5 leads
GPT-5 Mini: 55.2 (#148), Mistral Medium 3.5: 58.5 (#117)
| Benchmark | GPT-5 Mini | Mistral Medium 3.5 |
|---|---|---|
| LMArena Text | 1373 | 1421 |
| LMArena Creative Writing | 1325 | 1374 |
| LMArena Multi-Turn | 1363 | 1423 |
| Short-Story Creative Writing | 83.1% | — |
| EQ-Bench Creative Writing | 1313 | — |
| WildBench | 85.5% | — |
| EQ-Bench 4 | — | 993 |
Frequently asked questions
Is GPT-5 Mini better than Mistral Medium 3.5?
GPT-5 Mini is the stronger model overall, scoring 41.8 to 40.2 on the Noometry Index.
Which is cheaper, GPT-5 Mini or Mistral Medium 3.5?
GPT-5 Mini is cheaper. It lists at $0.25 per million input tokens and $2 per million output tokens; Mistral Medium 3.5 lists at $1.50 and $7.50.
Is GPT-5 Mini or Mistral Medium 3.5 better for coding?
GPT-5 Mini scores higher on coding benchmarks: 40.1 versus 36.0 in the Noometry coding category.
Which has the bigger context window?
GPT-5 Mini does, with 400K tokens against 262K.
How many benchmarks do GPT-5 Mini and Mistral Medium 3.5 share?
19 benchmarks have published results for both models. GPT-5 Mini has 60 scored results on Noometry and Mistral Medium 3.5 has 22.