Model comparison
GPT-5.4 nano vs Llama 13b
GPT-5.4 nano is the stronger model overall, scoring 41.9 to 23.9 on the Noometry Index.
Last verified . 9 shared benchmarks.
MetaSummary
- They share 9 benchmarks with published results for both. GPT-5.4 nano scores higher in 6 categories and Llama 13b in 0 categories; 6 gaps are clear of the uncertainty.
- The widest gap is in writing & preference, where GPT-5.4 nano leads 55.9 to 13.9.
- Llama 13b has downloadable open weights; the other is API-only.
Side by side
| GPT-5.4 nano | Llama 13b | |
|---|---|---|
| Provider | OpenAI | Meta |
| Noometry Index | 41.9 | 23.9 |
| Released | 2026-03-17 | 2023-02-24 |
| Weights | Proprietary | Open |
| Context window | 400K | — |
| Max output | 128K | — |
| Input $ / M tokens | $0.20 | — |
| Output $ / M tokens | $1.25 | — |
| Results tracked | 40 | 21 |
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Category by category
Coding GPT-5.4 nano leads
GPT-5.4 nano: 43.1 (#82), Llama 13b: 20.9 (#332)
| Benchmark | GPT-5.4 nano | Llama 13b |
|---|---|---|
| LMArena Coding | 1404 | 683 |
| SciCode | 46.9% | — |
| WeirdML | 49.2% | — |
| ALE-Bench | 1,005 | — |
Reasoning GPT-5.4 nano leads
GPT-5.4 nano: 23.8 (#159), Llama 13b: 13.4 (#327)
| Benchmark | GPT-5.4 nano | Llama 13b |
|---|---|---|
| LMArena Hard Prompts | 1380 | 728 |
| Epoch Capabilities Index | 145.78 | 100.09 |
| ARC-AGI-2 | 5.7% | — |
| Kagi LLM Benchmark | 39.7% | — |
| ARC-AGI-1 | 51.5% | — |
| CritPt | 9.3% | — |
| Chess Puzzles | 30% | — |
| Mystery Game Puzzles | 9% | — |
| DTBench | 80.3% | — |
| LMCA | 36.9% | — |
| BIG-Bench Hard | — | 37.9% |
| ForecastBench | 57.3 | — |
| HellaSwag | — | 79.2% |
| LAMBADA | — | 75.2% |
| PIQA | — | 80.1% |
| WinoGrande | — | 73% |
Math GPT-5.4 nano leads
GPT-5.4 nano: 40.7 (#76), Llama 13b: 24.4 (#259)
| Benchmark | GPT-5.4 nano | Llama 13b |
|---|---|---|
| LMArena Math | 1406 | 838 |
| 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% | — |
| GSM8K | — | 20.6% |
Knowledge Not comparable
GPT-5.4 nano: 41.8 (#94), Llama 13b: —
| Benchmark | GPT-5.4 nano | Llama 13b |
|---|---|---|
| GPQA Diamond | 78.5% | — |
| SimpleQA Verified | 11.7% | — |
| Vectara Hallucination Rate | 3.1% | — |
| LMArena Expert | 1397 | — |
| ARC (AI2) Challenge | — | 52.7% |
| BoolQ | — | 78.7% |
| MMLU | — | 47.7% |
| OpenBookQA | — | 56.4% |
| TriviaQA | — | 77.9% |
Multimodal Not comparable
GPT-5.4 nano: 36.0 (#73), Llama 13b: —
| Benchmark | GPT-5.4 nano | Llama 13b |
|---|---|---|
| LMArena Vision | 1196 | — |
| ScienceQA | — | 43.3% |
Multilingual GPT-5.4 nano leads
GPT-5.4 nano: 48.8 (#136), Llama 13b: 16.8 (#292)
| Benchmark | GPT-5.4 nano | Llama 13b |
|---|---|---|
| LMArena Non-English | 1359 | 819 |
| LMArena Chinese | 1391 | — |
| LMArena French | 1396 | — |
| LMArena German | 1368 | — |
| LMArena Japanese | 1342 | — |
| LMArena Korean | 1321 | — |
| LMArena Russian | 1363 | — |
| LMArena Spanish | 1368 | — |
Instruction Following GPT-5.4 nano leads
GPT-5.4 nano: 72.1 (#139), Llama 13b: 36.9 (#300)
| Benchmark | GPT-5.4 nano | Llama 13b |
|---|---|---|
| LMArena Instruction Following | 1362 | 781 |
Long Context Not comparable
GPT-5.4 nano: 41.6 (#131), Llama 13b: —
| Benchmark | GPT-5.4 nano | Llama 13b |
|---|---|---|
| LMArena Longer Query | 1365 | — |
Writing & Preference GPT-5.4 nano leads
GPT-5.4 nano: 55.9 (#137), Llama 13b: 13.9 (#307)
| Benchmark | GPT-5.4 nano | Llama 13b |
|---|---|---|
| LMArena Text | 1372 | 834 |
| LMArena Creative Writing | 1313 | 794 |
| LMArena Multi-Turn | 1382 | 753 |
Frequently asked questions
Is GPT-5.4 nano better than Llama 13b?
GPT-5.4 nano is the stronger model overall, scoring 41.9 to 23.9 on the Noometry Index.
Is GPT-5.4 nano or Llama 13b better for coding?
GPT-5.4 nano scores higher on coding benchmarks: 43.1 versus 20.9 in the Noometry coding category.
How many benchmarks do GPT-5.4 nano and Llama 13b share?
9 benchmarks have published results for both models. GPT-5.4 nano has 40 scored results on Noometry and Llama 13b has 21.