Model comparison
GPT-5.4 mini vs Mistral Nemo
GPT-5.4 mini is the stronger model overall, scoring 45.0 to 26.4 on the Noometry Index. Mistral Nemo costs 11× less per token, which makes it the better buy when GPT-5.4 mini's lead doesn't matter for your workload.
Last verified . 4 shared benchmarks.
Mistral AISummary
- They share 4 benchmarks with published results for both. GPT-5.4 mini scores higher in 5 categories and Mistral Nemo in 0 categories; 5 gaps are clear of the uncertainty.
- The widest gap is in knowledge, where GPT-5.4 mini leads 51.5 to 12.3.
- The biggest single-benchmark swing is GPQA Diamond: 86.9% for GPT-5.4 mini and 29.9% for Mistral Nemo.
- Mistral Nemo is cheaper at $0.15 / $0.15 per million input/output tokens, against $0.75 / $4.50 for GPT-5.4 mini.
- GPT-5.4 mini accepts more context: 400K tokens versus 128K.
- Mistral Nemo has downloadable open weights; the other is API-only.
Side by side
| GPT-5.4 mini | Mistral Nemo | |
|---|---|---|
| Provider | OpenAI | Mistral AI |
| Noometry Index | 45.0 | 26.4 |
| Released | 2026-03-17 | 2024-07-01 |
| Weights | Proprietary | Open |
| Context window | 400K | 128K |
| Max output | 128K | 128K |
| Input $ / M tokens | $0.75 | $0.15 |
| Output $ / M tokens | $4.50 | $0.15 |
| Results tracked | 46 | 10 |
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Category by category
Coding Not comparable
GPT-5.4 mini: 45.2 (#72), Mistral Nemo: —
| Benchmark | GPT-5.4 mini | Mistral Nemo |
|---|---|---|
| FrontierCode | 27% | — |
| LMArena WebDev | 1397 | — |
| SciCode | 49.9% | — |
| WeirdML | 60.3% | — |
| LMArena Coding | 1438 | — |
| ALE-Bench | 1,189 | — |
Agentic & Tool Use GPT-5.4 mini leads
GPT-5.4 mini: 29.9 (#81), Mistral Nemo: 23.5 (#125)
| Benchmark | GPT-5.4 mini | Mistral Nemo |
|---|---|---|
| Berkeley Function Calling Leaderboard | — | 27.6% |
| DeepResearch Bench | 36.3% | — |
| BALROG | — | 17.6% |
Reasoning GPT-5.4 mini leads
GPT-5.4 mini: 30.4 (#85), Mistral Nemo: 20.7 (#232)
| Benchmark | GPT-5.4 mini | Mistral Nemo |
|---|---|---|
| DTBench | 80% | 48.6% |
| Epoch Capabilities Index | 148.84 | 118.68 |
| ARC-AGI-2 | 18.9% | — |
| Kagi LLM Benchmark | 37.9% | — |
| NYT Connections (extended) | 61.8% | — |
| ARC-AGI-1 | 63.7% | — |
| CritPt | 10% | — |
| Chess Puzzles | 24% | — |
| Thematic Generalization | 61.7% | — |
| LMArena Hard Prompts | 1424 | — |
| Mystery Game Puzzles | 11% | — |
| LMCA | 40.8% | — |
| ForecastBench | 57 | — |
| PIQA | — | 83.5% |
Math GPT-5.4 mini leads
GPT-5.4 mini: 45.5 (#75), Mistral Nemo: 25.5 (#268)
| Benchmark | GPT-5.4 mini | Mistral Nemo |
|---|---|---|
| FrontierMath (Tiers 1-3) | 51.2% | — |
| FrontierMath Tier 4 | 9.8% | — |
| OTIS Mock AIME 2024-2025 | 88.9% | — |
| ProofBench | 21% | — |
| LMArena Math | 1419 | — |
| MATH Level 5 | — | 10.8% |
| FrontierMath (Feb 2025 set) | 28.3% | — |
| FrontierMath Tier 4 (v1) | 2.1% | — |
| GSM8K | — | 84.2% |
Knowledge GPT-5.4 mini leads
GPT-5.4 mini: 51.5 (#67), Mistral Nemo: 12.3 (#298)
| Benchmark | GPT-5.4 mini | Mistral Nemo |
|---|---|---|
| GPQA Diamond | 86.9% | 29.9% |
| SimpleQA Verified | 29.4% | — |
| Vectara Hallucination Rate | 5.5% | — |
| LMArena Expert | 1435 | — |
| BoolQ | — | 82.5% |
Multimodal Not comparable
GPT-5.4 mini: 39.7 (#56), Mistral Nemo: —
| Benchmark | GPT-5.4 mini | Mistral Nemo |
|---|---|---|
| LMArena Vision | 1245 | — |
Multilingual Not comparable
GPT-5.4 mini: 51.9 (#96), Mistral Nemo: —
| Benchmark | GPT-5.4 mini | Mistral Nemo |
|---|---|---|
| LMArena Non-English | 1405 | — |
| LMArena Chinese | 1446 | — |
| LMArena French | 1440 | — |
| LMArena German | 1409 | — |
| LMArena Japanese | 1374 | — |
| LMArena Korean | 1368 | — |
| LMArena Russian | 1417 | — |
| LMArena Spanish | 1405 | — |
Instruction Following Not comparable
GPT-5.4 mini: 74.1 (#102), Mistral Nemo: —
| Benchmark | GPT-5.4 mini | Mistral Nemo |
|---|---|---|
| LMArena Instruction Following | 1405 | — |
Long Context Not comparable
GPT-5.4 mini: 43.0 (#112), Mistral Nemo: —
| Benchmark | GPT-5.4 mini | Mistral Nemo |
|---|---|---|
| LMArena Longer Query | 1407 | — |
Writing & Preference GPT-5.4 mini leads
GPT-5.4 mini: 64.0 (#58), Mistral Nemo: 28.5 (#296)
| Benchmark | GPT-5.4 mini | Mistral Nemo |
|---|---|---|
| EQ-Bench Creative Writing | 1665 | 881 |
| LMArena Text | 1412 | — |
| LMArena Creative Writing | 1370 | — |
| LMArena Multi-Turn | 1429 | — |
Frequently asked questions
Is GPT-5.4 mini better than Mistral Nemo?
GPT-5.4 mini is the stronger model overall, scoring 45.0 to 26.4 on the Noometry Index. Mistral Nemo costs 11× less per token, which makes it the better buy when GPT-5.4 mini's lead doesn't matter for your workload.
Which is cheaper, GPT-5.4 mini or Mistral Nemo?
Mistral Nemo is cheaper. It lists at $0.15 per million input tokens and $0.15 per million output tokens; GPT-5.4 mini lists at $0.75 and $4.50.
Which has the bigger context window?
GPT-5.4 mini does, with 400K tokens against 128K.
How many benchmarks do GPT-5.4 mini and Mistral Nemo share?
4 benchmarks have published results for both models. GPT-5.4 mini has 46 scored results on Noometry and Mistral Nemo has 10.