Model comparison
GPT-5.4 nano vs Mistral Nemo
GPT-5.4 nano is the stronger model overall, scoring 41.9 to 25.9 on the Noometry Index. Mistral Nemo costs 3.1× less per token, which makes it the better buy when GPT-5.4 nano's lead doesn't matter for your workload.
Last verified . 3 shared benchmarks.
Mistral AISummary
- They share 3 benchmarks with published results for both. GPT-5.4 nano scores higher in 4 categories and Mistral Nemo in 0 categories; 4 gaps are clear of the uncertainty.
- The widest gap is in knowledge, where GPT-5.4 nano leads 41.8 to 12.3.
- The biggest single-benchmark swing is GPQA Diamond: 78.5% for GPT-5.4 nano and 29.9% for Mistral Nemo.
- Mistral Nemo is cheaper at $0.15 / $0.15 per million input/output tokens, against $0.20 / $1.25 for GPT-5.4 nano.
- GPT-5.4 nano accepts more context: 400K tokens versus 128K.
- Mistral Nemo has downloadable open weights; the other is API-only.
Side by side
| GPT-5.4 nano | Mistral Nemo | |
|---|---|---|
| Provider | OpenAI | Mistral AI |
| Noometry Index | 41.9 | 25.9 |
| Released | 2026-03-17 | 2024-07-01 |
| Weights | Proprietary | Open |
| Context window | 400K | 128K |
| Max output | 128K | 128K |
| Input $ / M tokens | $0.20 | $0.15 |
| Output $ / M tokens | $1.25 | $0.15 |
| Results tracked | 40 | 10 |
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Category by category
Coding Not comparable
GPT-5.4 nano: 43.1 (#82), Mistral Nemo: —
| Benchmark | GPT-5.4 nano | Mistral Nemo |
|---|---|---|
| SciCode | 46.9% | — |
| WeirdML | 49.2% | — |
| LMArena Coding | 1404 | — |
| ALE-Bench | 1,005 | — |
Agentic & Tool Use Not comparable
GPT-5.4 nano: —, Mistral Nemo: 23.3 (#118)
| Benchmark | GPT-5.4 nano | Mistral Nemo |
|---|---|---|
| Berkeley Function Calling Leaderboard | — | 27.6% |
| BALROG | — | 17.6% |
Reasoning GPT-5.4 nano leads
GPT-5.4 nano: 23.8 (#159), Mistral Nemo: 19.9 (#230)
| Benchmark | GPT-5.4 nano | Mistral Nemo |
|---|---|---|
| DTBench | 80.3% | 48.6% |
| Epoch Capabilities Index | 145.78 | 118.63 |
| ARC-AGI-2 | 5.7% | — |
| Kagi LLM Benchmark | 39.7% | — |
| ARC-AGI-1 | 51.5% | — |
| CritPt | 9.3% | — |
| Chess Puzzles | 30% | — |
| LMArena Hard Prompts | 1380 | — |
| Mystery Game Puzzles | 9% | — |
| LMCA | 36.9% | — |
| ForecastBench | 57.3 | — |
| PIQA | — | 83.5% |
Math GPT-5.4 nano leads
GPT-5.4 nano: 40.7 (#76), Mistral Nemo: 23.5 (#263)
| Benchmark | GPT-5.4 nano | Mistral Nemo |
|---|---|---|
| FrontierMath (Tiers 1-3) | 44.9% | — |
| FrontierMath Tier 4 | 12.2% | — |
| OTIS Mock AIME 2024-2025 | 87.8% | — |
| ProofBench | 5% | — |
| LMArena Math | 1406 | — |
| MATH Level 5 | — | 10.8% |
| FrontierMath (Feb 2025 set) | 25.9% | — |
| FrontierMath Tier 4 (v1) | 6.3% | — |
| GSM8K | — | 84.2% |
Knowledge GPT-5.4 nano leads
GPT-5.4 nano: 41.8 (#94), Mistral Nemo: 12.3 (#293)
| Benchmark | GPT-5.4 nano | Mistral Nemo |
|---|---|---|
| GPQA Diamond | 78.5% | 29.9% |
| SimpleQA Verified | 11.7% | — |
| Vectara Hallucination Rate | 3.1% | — |
| LMArena Expert | 1397 | — |
| BoolQ | — | 82.5% |
Multimodal Not comparable
GPT-5.4 nano: 36.0 (#73), Mistral Nemo: —
| Benchmark | GPT-5.4 nano | Mistral Nemo |
|---|---|---|
| LMArena Vision | 1196 | — |
Multilingual Not comparable
GPT-5.4 nano: 48.8 (#136), Mistral Nemo: —
| Benchmark | GPT-5.4 nano | Mistral Nemo |
|---|---|---|
| LMArena Non-English | 1359 | — |
| LMArena Chinese | 1391 | — |
| LMArena French | 1396 | — |
| LMArena German | 1368 | — |
| LMArena Japanese | 1342 | — |
| LMArena Korean | 1321 | — |
| LMArena Russian | 1363 | — |
| LMArena Spanish | 1368 | — |
Instruction Following Not comparable
GPT-5.4 nano: 72.1 (#139), Mistral Nemo: —
| Benchmark | GPT-5.4 nano | Mistral Nemo |
|---|---|---|
| LMArena Instruction Following | 1362 | — |
Long Context Not comparable
GPT-5.4 nano: 41.6 (#131), Mistral Nemo: —
| Benchmark | GPT-5.4 nano | Mistral Nemo |
|---|---|---|
| LMArena Longer Query | 1365 | — |
Writing & Preference GPT-5.4 nano leads
GPT-5.4 nano: 55.9 (#137), Mistral Nemo: 28.6 (#291)
| Benchmark | GPT-5.4 nano | Mistral Nemo |
|---|---|---|
| LMArena Text | 1372 | — |
| LMArena Creative Writing | 1313 | — |
| EQ-Bench Creative Writing | — | 881 |
| LMArena Multi-Turn | 1382 | — |
Frequently asked questions
Is GPT-5.4 nano better than Mistral Nemo?
GPT-5.4 nano is the stronger model overall, scoring 41.9 to 25.9 on the Noometry Index. Mistral Nemo costs 3.1× less per token, which makes it the better buy when GPT-5.4 nano's lead doesn't matter for your workload.
Which is cheaper, GPT-5.4 nano 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 nano lists at $0.20 and $1.25.
Which has the bigger context window?
GPT-5.4 nano does, with 400K tokens against 128K.
How many benchmarks do GPT-5.4 nano and Mistral Nemo share?
3 benchmarks have published results for both models. GPT-5.4 nano has 40 scored results on Noometry and Mistral Nemo has 10.