# GPT-4.1 nano vs Llama 2-7B

> Llama 2-7B is the stronger model overall, scoring 29.1 to 27.9 on the Noometry Index.

- Canonical page: https://noometry.com/compare/gpt-4-1-nano-vs-llama-2-7b
- Last updated: 2026-10-12
- Shared benchmarks: 14

## Summary

- They share 14 benchmarks with published results for both. GPT-4.1 nano scores higher in 3 categories and Llama 2-7B in 5 categories; 8 gaps are clear of the uncertainty.
- The widest gap is in multilingual, where GPT-4.1 nano leads 41.6 to 23.8.
- Llama 2-7B has downloadable open weights; the other is API-only.

## Snapshot

| | GPT-4.1 nano | Llama 2-7B |
|---|---|---|
| Provider | OpenAI | Meta |
| Noometry Index | 27.9 | 29.1 |
| Rank | 327 | 317 |
| Context | 1.05M | — |
| Input $/M | $0.10 | — |
| Output $/M | $0.40 | — |
| Weights | Proprietary | Open |

## Coding

- GPT-4.1 nano: 24.1 (#330)
- Llama 2-7B: 29.2 (#307)

| Benchmark | GPT-4.1 nano | Llama 2-7B |
|---|---|---|
| LMArena Coding | 1306 | 1002 |
| Aider Polyglot | 8.9% | — |
| SciCode | 25.9% | — |
| WeirdML | 19% | — |

## Agentic & Tool Use

- GPT-4.1 nano: 26.5 (#104)
- Llama 2-7B: —

| Benchmark | GPT-4.1 nano | Llama 2-7B |
|---|---|---|
| Berkeley Function Calling Leaderboard | 33% | — |

## Reasoning

- GPT-4.1 nano: 8.5 (#349)
- Llama 2-7B: 15.7 (#312)

| Benchmark | GPT-4.1 nano | Llama 2-7B |
|---|---|---|
| LMArena Hard Prompts | 1286 | 1009 |
| Epoch Capabilities Index | 129.62 | 99.06 |
| ARC-AGI-2 | 0% | — |
| Kagi LLM Benchmark | 33.3% | — |
| ARC-AGI-1 | 0% | — |
| CritPt | 0% | — |
| Chess Puzzles | — | 0% |
| DTBench | 52.5% | — |
| LMCA | 5.5% | — |
| BIG-Bench Hard | — | 39.2% |
| HellaSwag | — | 77.2% |
| LAMBADA | — | 73.3% |
| PIQA | — | 78.8% |
| WinoGrande | — | 69.2% |

## Math

- GPT-4.1 nano: 26.9 (#252)
- Llama 2-7B: 30.7 (#233)

| Benchmark | GPT-4.1 nano | Llama 2-7B |
|---|---|---|
| LMArena Math | 1274 | 1042 |
| OTIS Mock AIME 2024-2025 | 28.9% | — |
| Omni-MATH | 36.7% | — |
| MATH Level 5 | 70% | — |
| FrontierMath (Feb 2025 set) | 1% | — |
| GSM8K | — | 16.7% |

## Knowledge

- GPT-4.1 nano: 21.8 (#273)
- Llama 2-7B: 28.2 (#248)

| Benchmark | GPT-4.1 nano | Llama 2-7B |
|---|---|---|
| LMArena Expert | 1272 | 1036 |
| GPQA Diamond | 48.9% | — |
| SimpleQA Verified | 6% | — |
| MMLU-Pro | 55% | — |
| GPQA (HELM) | 50.7% | — |
| ARC (AI2) Challenge | — | 45.9% |
| BoolQ | — | 77.9% |
| MMLU | — | 45.8% |
| OpenBookQA | — | 58.6% |
| TriviaQA | — | 73.7% |

## Multimodal

- GPT-4.1 nano: 29.2 (#113)
- Llama 2-7B: —

| Benchmark | GPT-4.1 nano | Llama 2-7B |
|---|---|---|
| LMArena Vision | 1063 | — |
| ScienceQA | — | 43.1% |

## Multilingual

- GPT-4.1 nano: 41.6 (#205)
- Llama 2-7B: 23.8 (#293)

| Benchmark | GPT-4.1 nano | Llama 2-7B |
|---|---|---|
| LMArena Non-English | 1260 | 973 |
| LMArena Chinese | 1270 | 973 |
| LMArena German | 1288 | 978 |
| LMArena Russian | 1261 | 995 |
| LMArena French | — | 970 |
| LMArena Japanese | 1198 | — |
| LMArena Spanish | — | 1007 |

## Instruction Following

- GPT-4.1 nano: 67.8 (#193)
- Llama 2-7B: 50.8 (#298)

| Benchmark | GPT-4.1 nano | Llama 2-7B |
|---|---|---|
| LMArena Instruction Following | 1267 | 1006 |
| IFEval | 84.3% | — |

## Long Context

- GPT-4.1 nano: 23.7 (#296)
- Llama 2-7B: 30.4 (#287)

| Benchmark | GPT-4.1 nano | Llama 2-7B |
|---|---|---|
| LMArena Longer Query | 1283 | 999 |
| Fiction.LiveBench | 25% | — |

## Writing & Preference

- GPT-4.1 nano: 40.5 (#243)
- Llama 2-7B: 28.0 (#298)

| Benchmark | GPT-4.1 nano | Llama 2-7B |
|---|---|---|
| LMArena Text | 1285 | 1053 |
| LMArena Creative Writing | 1260 | 1033 |
| LMArena Multi-Turn | 1277 | 1029 |
| EQ-Bench Creative Writing | 946 | — |
| WildBench | 81.2% | — |

## FAQ

### Is GPT-4.1 nano better than Llama 2-7B?

Llama 2-7B is the stronger model overall, scoring 29.1 to 27.9 on the Noometry Index.

### Is GPT-4.1 nano or Llama 2-7B better for coding?

Llama 2-7B scores higher on coding benchmarks: 29.2 versus 24.1 in the Noometry coding category.

### How many benchmarks do GPT-4.1 nano and Llama 2-7B share?

14 benchmarks have published results for both models. GPT-4.1 nano has 38 scored results on Noometry and Llama 2-7B has 29.