Model comparison
GPT-5.4 mini vs Mistral Medium 3.5
GPT-5.4 mini is the stronger model overall, scoring 45.0 to 40.2 on the Noometry Index.
Last verified . 21 shared benchmarks.
Summary
- They share 21 benchmarks with published results for both. GPT-5.4 mini scores higher in 7 categories and Mistral Medium 3.5 in 2 categories; 6 gaps are clear of the uncertainty.
- The widest gap is in reasoning, where GPT-5.4 mini leads 30.4 to 17.3.
- The biggest single-benchmark swing is NYT Connections (extended): 61.8% for GPT-5.4 mini and 12.9% for Mistral Medium 3.5.
- GPT-5.4 mini is cheaper at $0.75 / $4.50 per million input/output tokens, against $1.50 / $7.50 for Mistral Medium 3.5.
- GPT-5.4 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-5.4 mini | Mistral Medium 3.5 | |
|---|---|---|
| Provider | OpenAI | Mistral AI |
| Noometry Index | 45.0 | 40.2 |
| Released | 2026-03-17 | — |
| Weights | Proprietary | Open |
| Context window | 400K | 262K |
| Max output | 128K | 210K |
| Input $ / M tokens | $0.75 | $1.50 |
| Output $ / M tokens | $4.50 | $7.50 |
| Results tracked | 46 | 22 |
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Category by category
Coding GPT-5.4 mini leads
GPT-5.4 mini: 45.2 (#72), Mistral Medium 3.5: 36.0 (#213)
| Benchmark | GPT-5.4 mini | Mistral Medium 3.5 |
|---|---|---|
| LMArena WebDev | 1397 | 1264 |
| LMArena Coding | 1438 | 1461 |
| FrontierCode | 27% | — |
| SciCode | 49.9% | — |
| WeirdML | 60.3% | — |
| ALE-Bench | 1,189 | — |
Agentic & Tool Use Not comparable
GPT-5.4 mini: 29.9 (#81), Mistral Medium 3.5: —
| Benchmark | GPT-5.4 mini | Mistral Medium 3.5 |
|---|---|---|
| DeepResearch Bench | 36.3% | — |
Reasoning GPT-5.4 mini leads
GPT-5.4 mini: 30.4 (#85), Mistral Medium 3.5: 17.3 (#295)
| Benchmark | GPT-5.4 mini | Mistral Medium 3.5 |
|---|---|---|
| Kagi LLM Benchmark | 37.9% | 41.4% |
| NYT Connections (extended) | 61.8% | 12.9% |
| LMArena Hard Prompts | 1424 | 1436 |
| Epoch Capabilities Index | 148.84 | 141.35 |
| ARC-AGI-2 | 18.9% | — |
| ARC-AGI-1 | 63.7% | — |
| CritPt | 10% | — |
| Chess Puzzles | 24% | — |
| Thematic Generalization | 61.7% | — |
| Mystery Game Puzzles | 11% | — |
| DTBench | 80% | — |
| LMCA | 40.8% | — |
| ForecastBench | 57 | — |
Math GPT-5.4 mini leads
GPT-5.4 mini: 45.5 (#75), Mistral Medium 3.5: 39.1 (#113)
| Benchmark | GPT-5.4 mini | Mistral Medium 3.5 |
|---|---|---|
| LMArena Math | 1419 | 1431 |
| FrontierMath (Tiers 1-3) | 51.2% | — |
| FrontierMath Tier 4 | 9.8% | — |
| OTIS Mock AIME 2024-2025 | 88.9% | — |
| ProofBench | 21% | — |
| FrontierMath (Feb 2025 set) | 28.3% | — |
| FrontierMath Tier 4 (v1) | 2.1% | — |
Knowledge GPT-5.4 mini leads
GPT-5.4 mini: 51.5 (#67), Mistral Medium 3.5: 40.0 (#126)
| Benchmark | GPT-5.4 mini | Mistral Medium 3.5 |
|---|---|---|
| LMArena Expert | 1435 | 1432 |
| GPQA Diamond | 86.9% | — |
| SimpleQA Verified | 29.4% | — |
| Vectara Hallucination Rate | 5.5% | — |
Multimodal GPT-5.4 mini leads
GPT-5.4 mini: 39.7 (#56), Mistral Medium 3.5: 38.3 (#65)
| Benchmark | GPT-5.4 mini | Mistral Medium 3.5 |
|---|---|---|
| LMArena Vision | 1245 | 1223 |
Multilingual Too close to call
GPT-5.4 mini: 51.9 (#96), Mistral Medium 3.5: 51.9 (#100)
| Benchmark | GPT-5.4 mini | Mistral Medium 3.5 |
|---|---|---|
| LMArena Non-English | 1405 | 1404 |
| LMArena Chinese | 1446 | 1442 |
| LMArena French | 1440 | 1448 |
| LMArena German | 1409 | 1451 |
| LMArena Korean | 1368 | 1385 |
| LMArena Russian | 1417 | 1395 |
| LMArena Spanish | 1405 | 1409 |
| LMArena Japanese | 1374 | — |
Instruction Following Too close to call
GPT-5.4 mini: 74.1 (#102), Mistral Medium 3.5: 74.6 (#90)
| Benchmark | GPT-5.4 mini | Mistral Medium 3.5 |
|---|---|---|
| LMArena Instruction Following | 1405 | 1415 |
Long Context Too close to call
GPT-5.4 mini: 43.0 (#112), Mistral Medium 3.5: 43.2 (#103)
| Benchmark | GPT-5.4 mini | Mistral Medium 3.5 |
|---|---|---|
| LMArena Longer Query | 1407 | 1415 |
Writing & Preference GPT-5.4 mini leads
GPT-5.4 mini: 64.0 (#58), Mistral Medium 3.5: 58.5 (#117)
| Benchmark | GPT-5.4 mini | Mistral Medium 3.5 |
|---|---|---|
| LMArena Text | 1412 | 1421 |
| LMArena Creative Writing | 1370 | 1374 |
| LMArena Multi-Turn | 1429 | 1423 |
| EQ-Bench Creative Writing | 1665 | — |
| EQ-Bench 4 | — | 993 |
Frequently asked questions
Is GPT-5.4 mini better than Mistral Medium 3.5?
GPT-5.4 mini is the stronger model overall, scoring 45.0 to 40.2 on the Noometry Index.
Which is cheaper, GPT-5.4 mini or Mistral Medium 3.5?
GPT-5.4 mini is cheaper. It lists at $0.75 per million input tokens and $4.50 per million output tokens; Mistral Medium 3.5 lists at $1.50 and $7.50.
Is GPT-5.4 mini or Mistral Medium 3.5 better for coding?
GPT-5.4 mini scores higher on coding benchmarks: 45.2 versus 36.0 in the Noometry coding category.
Which has the bigger context window?
GPT-5.4 mini does, with 400K tokens against 262K.
How many benchmarks do GPT-5.4 mini and Mistral Medium 3.5 share?
21 benchmarks have published results for both models. GPT-5.4 mini has 46 scored results on Noometry and Mistral Medium 3.5 has 22.