Model comparison
GPT-4.1 nano vs Llama 13b
GPT-4.1 nano is the stronger model overall, scoring 27.9 to 24.4 on the Noometry Index.
Last verified . 9 shared benchmarks.
MetaSummary
- They share 9 benchmarks with published results for both. GPT-4.1 nano scores higher in 5 categories and Llama 13b in 1 category; 5 gaps are clear of the uncertainty.
- The widest gap is in instruction following, where GPT-4.1 nano leads 67.8 to 36.7.
- Llama 13b has downloadable open weights; the other is API-only.
Side by side
| GPT-4.1 nano | Llama 13b | |
|---|---|---|
| Provider | OpenAI | Meta |
| Noometry Index | 27.9 | 24.4 |
| Released | 2025-04-14 | 2023-02-24 |
| Weights | Proprietary | Open |
| Context window | 1.05M | — |
| Max output | 33K | — |
| Input $ / M tokens | $0.10 | — |
| Output $ / M tokens | $0.40 | — |
| Results tracked | 38 | 21 |
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Category by category
Coding GPT-4.1 nano leads
GPT-4.1 nano: 24.1 (#330), Llama 13b: 21.4 (#337)
| Benchmark | GPT-4.1 nano | Llama 13b |
|---|---|---|
| LMArena Coding | 1306 | 683 |
| Aider Polyglot | 8.9% | — |
| SciCode | 25.9% | — |
| WeirdML | 19% | — |
Agentic & Tool Use Not comparable
GPT-4.1 nano: 26.5 (#104), Llama 13b: —
| Benchmark | GPT-4.1 nano | Llama 13b |
|---|---|---|
| Berkeley Function Calling Leaderboard | 33% | — |
Reasoning Llama 13b leads
GPT-4.1 nano: 8.5 (#349), Llama 13b: 14.0 (#329)
| Benchmark | GPT-4.1 nano | Llama 13b |
|---|---|---|
| LMArena Hard Prompts | 1286 | 728 |
| Epoch Capabilities Index | 129.62 | 100.58 |
| ARC-AGI-2 | 0% | — |
| Kagi LLM Benchmark | 33.3% | — |
| ARC-AGI-1 | 0% | — |
| CritPt | 0% | — |
| DTBench | 52.5% | — |
| LMCA | 5.5% | — |
| BIG-Bench Hard | — | 37.9% |
| HellaSwag | — | 79.2% |
| LAMBADA | — | 75.2% |
| PIQA | — | 80.1% |
| WinoGrande | — | 73% |
Math Too close to call
GPT-4.1 nano: 26.9 (#252), Llama 13b: 26.7 (#256)
| Benchmark | GPT-4.1 nano | Llama 13b |
|---|---|---|
| LMArena Math | 1274 | 838 |
| OTIS Mock AIME 2024-2025 | 28.9% | — |
| Omni-MATH | 36.7% | — |
| MATH Level 5 | 70% | — |
| FrontierMath (Feb 2025 set) | 1% | — |
| GSM8K | — | 20.6% |
Knowledge Not comparable
GPT-4.1 nano: 21.8 (#273), Llama 13b: —
| Benchmark | GPT-4.1 nano | Llama 13b |
|---|---|---|
| GPQA Diamond | 48.9% | — |
| SimpleQA Verified | 6% | — |
| MMLU-Pro | 55% | — |
| GPQA (HELM) | 50.7% | — |
| LMArena Expert | 1272 | — |
| ARC (AI2) Challenge | — | 52.7% |
| BoolQ | — | 78.7% |
| MMLU | — | 47.7% |
| OpenBookQA | — | 56.4% |
| TriviaQA | — | 77.9% |
Multimodal Not comparable
GPT-4.1 nano: 29.2 (#113), Llama 13b: —
| Benchmark | GPT-4.1 nano | Llama 13b |
|---|---|---|
| LMArena Vision | 1063 | — |
| ScienceQA | — | 43.3% |
Multilingual GPT-4.1 nano leads
GPT-4.1 nano: 41.6 (#205), Llama 13b: 16.6 (#297)
| Benchmark | GPT-4.1 nano | Llama 13b |
|---|---|---|
| LMArena Non-English | 1260 | 819 |
| LMArena Chinese | 1270 | — |
| LMArena German | 1288 | — |
| LMArena Japanese | 1198 | — |
| LMArena Russian | 1261 | — |
Instruction Following GPT-4.1 nano leads
GPT-4.1 nano: 67.8 (#193), Llama 13b: 36.7 (#305)
| Benchmark | GPT-4.1 nano | Llama 13b |
|---|---|---|
| LMArena Instruction Following | 1267 | 781 |
| IFEval | 84.3% | — |
Long Context Not comparable
GPT-4.1 nano: 23.7 (#296), Llama 13b: —
| Benchmark | GPT-4.1 nano | Llama 13b |
|---|---|---|
| Fiction.LiveBench | 25% | — |
| LMArena Longer Query | 1283 | — |
Writing & Preference GPT-4.1 nano leads
GPT-4.1 nano: 40.5 (#243), Llama 13b: 13.8 (#312)
| Benchmark | GPT-4.1 nano | Llama 13b |
|---|---|---|
| LMArena Text | 1285 | 834 |
| LMArena Creative Writing | 1260 | 794 |
| LMArena Multi-Turn | 1277 | 753 |
| EQ-Bench Creative Writing | 946 | — |
| WildBench | 81.2% | — |
Frequently asked questions
Is GPT-4.1 nano better than Llama 13b?
GPT-4.1 nano is the stronger model overall, scoring 27.9 to 24.4 on the Noometry Index.
Is GPT-4.1 nano or Llama 13b better for coding?
GPT-4.1 nano scores higher on coding benchmarks: 24.1 versus 21.4 in the Noometry coding category.
How many benchmarks do GPT-4.1 nano and Llama 13b share?
9 benchmarks have published results for both models. GPT-4.1 nano has 38 scored results on Noometry and Llama 13b has 21.