Model comparison
GPT-5.4 nano vs Mistral Medium 3.5
GPT-5.4 nano is the stronger model overall, scoring 41.9 to 40.2 on the Noometry Index.
Last verified . 19 shared benchmarks.
Mistral AISummary
- They share 19 benchmarks with published results for both. GPT-5.4 nano scores higher in 4 categories and Mistral Medium 3.5 in 5 categories; 9 gaps are clear of the uncertainty.
- The widest gap is in coding, where GPT-5.4 nano leads 43.6 to 36.0.
- GPT-5.4 nano is cheaper at $0.20 / $1.25 per million input/output tokens, against $1.50 / $7.50 for Mistral Medium 3.5.
- GPT-5.4 nano 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 nano | Mistral Medium 3.5 | |
|---|---|---|
| Provider | OpenAI | Mistral AI |
| Noometry Index | 41.9 | 40.2 |
| Released | 2026-03-17 | — |
| Weights | Proprietary | Open |
| Context window | 400K | 262K |
| Max output | 128K | 210K |
| Input $ / M tokens | $0.20 | $1.50 |
| Output $ / M tokens | $1.25 | $7.50 |
| Results tracked | 40 | 22 |
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Category by category
Coding GPT-5.4 nano leads
GPT-5.4 nano: 43.6 (#84), Mistral Medium 3.5: 36.0 (#213)
| Benchmark | GPT-5.4 nano | Mistral Medium 3.5 |
|---|---|---|
| LMArena Coding | 1405 | 1461 |
| LMArena WebDev | — | 1264 |
| SciCode | 46.9% | — |
| WeirdML | 49.2% | — |
| ALE-Bench | 1,005 | — |
Reasoning GPT-5.4 nano leads
GPT-5.4 nano: 23.7 (#173), Mistral Medium 3.5: 17.3 (#295)
| Benchmark | GPT-5.4 nano | Mistral Medium 3.5 |
|---|---|---|
| Kagi LLM Benchmark | 39.7% | 41.4% |
| LMArena Hard Prompts | 1381 | 1436 |
| Epoch Capabilities Index | 145.81 | 141.35 |
| ARC-AGI-2 | 5.7% | — |
| NYT Connections (extended) | — | 12.9% |
| ARC-AGI-1 | 51.5% | — |
| CritPt | 9.3% | — |
| Chess Puzzles | 30% | — |
| Mystery Game Puzzles | 9% | — |
| DTBench | 80.3% | — |
| LMCA | 36.9% | — |
| ForecastBench | 57.3 | — |
Math GPT-5.4 nano leads
GPT-5.4 nano: 40.9 (#88), Mistral Medium 3.5: 39.1 (#113)
| Benchmark | GPT-5.4 nano | Mistral Medium 3.5 |
|---|---|---|
| LMArena Math | 1406 | 1431 |
| FrontierMath (Tiers 1-3) | 44.9% | — |
| FrontierMath Tier 4 | 12.2% | — |
| OTIS Mock AIME 2024-2025 | 87.8% | — |
| ProofBench | 5% | — |
| FrontierMath (Feb 2025 set) | 25.9% | — |
| FrontierMath Tier 4 (v1) | 6.3% | — |
Knowledge GPT-5.4 nano leads
GPT-5.4 nano: 41.9 (#103), Mistral Medium 3.5: 40.0 (#126)
| Benchmark | GPT-5.4 nano | Mistral Medium 3.5 |
|---|---|---|
| LMArena Expert | 1396 | 1432 |
| GPQA Diamond | 78.5% | — |
| SimpleQA Verified | 11.7% | — |
| Vectara Hallucination Rate | 3.1% | — |
Multimodal Mistral Medium 3.5 leads
GPT-5.4 nano: 36.7 (#78), Mistral Medium 3.5: 38.3 (#65)
| Benchmark | GPT-5.4 nano | Mistral Medium 3.5 |
|---|---|---|
| LMArena Vision | 1196 | 1223 |
Multilingual Mistral Medium 3.5 leads
GPT-5.4 nano: 48.6 (#140), Mistral Medium 3.5: 51.9 (#100)
| Benchmark | GPT-5.4 nano | Mistral Medium 3.5 |
|---|---|---|
| LMArena Non-English | 1359 | 1404 |
| LMArena Chinese | 1392 | 1442 |
| LMArena French | 1396 | 1448 |
| LMArena German | 1367 | 1451 |
| LMArena Korean | 1320 | 1385 |
| LMArena Russian | 1363 | 1395 |
| LMArena Spanish | 1371 | 1409 |
| LMArena Japanese | 1343 | — |
Instruction Following Mistral Medium 3.5 leads
GPT-5.4 nano: 71.9 (#144), Mistral Medium 3.5: 74.6 (#90)
| Benchmark | GPT-5.4 nano | Mistral Medium 3.5 |
|---|---|---|
| LMArena Instruction Following | 1362 | 1415 |
Long Context Mistral Medium 3.5 leads
GPT-5.4 nano: 41.6 (#137), Mistral Medium 3.5: 43.2 (#103)
| Benchmark | GPT-5.4 nano | Mistral Medium 3.5 |
|---|---|---|
| LMArena Longer Query | 1366 | 1415 |
Writing & Preference Mistral Medium 3.5 leads
GPT-5.4 nano: 55.7 (#142), Mistral Medium 3.5: 58.5 (#117)
| Benchmark | GPT-5.4 nano | Mistral Medium 3.5 |
|---|---|---|
| LMArena Text | 1372 | 1421 |
| LMArena Creative Writing | 1314 | 1374 |
| LMArena Multi-Turn | 1382 | 1423 |
| EQ-Bench 4 | — | 993 |
Frequently asked questions
Is GPT-5.4 nano better than Mistral Medium 3.5?
GPT-5.4 nano is the stronger model overall, scoring 41.9 to 40.2 on the Noometry Index.
Which is cheaper, GPT-5.4 nano or Mistral Medium 3.5?
GPT-5.4 nano is cheaper. It lists at $0.20 per million input tokens and $1.25 per million output tokens; Mistral Medium 3.5 lists at $1.50 and $7.50.
Is GPT-5.4 nano or Mistral Medium 3.5 better for coding?
GPT-5.4 nano scores higher on coding benchmarks: 43.6 versus 36.0 in the Noometry coding category.
Which has the bigger context window?
GPT-5.4 nano does, with 400K tokens against 262K.
How many benchmarks do GPT-5.4 nano and Mistral Medium 3.5 share?
19 benchmarks have published results for both models. GPT-5.4 nano has 40 scored results on Noometry and Mistral Medium 3.5 has 22.