# gpt-oss-120b vs Llama 2-7B

> gpt-oss-120b is the stronger model overall, scoring 36.0 to 28.6 on the Noometry Index.

- Canonical page: https://noometry.com/compare/gpt-oss-120b-vs-llama-2-7b
- Last updated: 2026-10-10
- Shared benchmarks: 17

## Summary

- They share 17 benchmarks with published results for both. gpt-oss-120b scores higher in 8 categories and Llama 2-7B in 0 categories; 7 gaps are clear of the uncertainty.
- The widest gap is in multilingual, where gpt-oss-120b leads 48.2 to 23.9.
- The biggest single-benchmark swing is Chess Puzzles: 20% for gpt-oss-120b and 0% for Llama 2-7B.

## Snapshot

| | gpt-oss-120b | Llama 2-7B |
|---|---|---|
| Provider | OpenAI | Meta |
| Noometry Index | 36.0 | 28.6 |
| Rank | 210 | 315 |
| Context | 131K | — |
| Input $/M | $0.037 | — |
| Output $/M | $0.17 | — |
| Weights | Open | Open |

## Coding

- gpt-oss-120b: 33.2 (#251)
- Llama 2-7B: 28.7 (#302)

| Benchmark | gpt-oss-120b | Llama 2-7B |
|---|---|---|
| LMArena Coding | 1380 | 1002 |
| SWE-bench Verified (bash only) | 26% | — |
| Aider Polyglot | 41.8% | — |
| SciCode | 36% | — |
| WeirdML | 48.2% | — |
| ALE-Bench | 575.62 | — |
| AlgoTune | 1.41 | — |

## Agentic & Tool Use

- gpt-oss-120b: 12.1 (#145)
- Llama 2-7B: —

| Benchmark | gpt-oss-120b | Llama 2-7B |
|---|---|---|
| Terminal-Bench | 18.7% | — |
| APEX-Agents | 4.4% | — |
| METR Time Horizons | 56.6% | — |
| Vending-Bench 2 | -21.53 | — |

## Reasoning

- gpt-oss-120b: 19.5 (#236)
- Llama 2-7B: 15.1 (#309)

| Benchmark | gpt-oss-120b | Llama 2-7B |
|---|---|---|
| Chess Puzzles | 20% | 0% |
| LMArena Hard Prompts | 1364 | 1009 |
| Epoch Capabilities Index | 139.94 | 98.54 |
| SimpleBench | 22.1% | — |
| Kagi LLM Benchmark | 58.6% | — |
| CritPt | 1.1% | — |
| Mystery Game Puzzles | 2% | — |
| DTBench | 76.3% | — |
| LMCA | 22.1% | — |
| Surface Evolver Bench | 25% | — |
| BIG-Bench Hard | — | 39.2% |
| HellaSwag | — | 77.2% |
| LAMBADA | — | 73.3% |
| PIQA | — | 78.8% |
| WinoGrande | — | 69.2% |

## Math

- gpt-oss-120b: 50.6 (#43)
- Llama 2-7B: 28.2 (#231)

| Benchmark | gpt-oss-120b | Llama 2-7B |
|---|---|---|
| LMArena Math | 1388 | 1042 |
| OTIS Mock AIME 2024-2025 | 88.9% | — |
| Omni-MATH | 68.8% | — |
| GSM8K | — | 16.7% |

## Knowledge

- gpt-oss-120b: 42.3 (#89)
- Llama 2-7B: 27.7 (#243)

| Benchmark | gpt-oss-120b | Llama 2-7B |
|---|---|---|
| LMArena Expert | 1356 | 1036 |
| GPQA Diamond | 75.8% | — |
| MMLU-Pro | 79.5% | — |
| Confabulations | 15.7% | — |
| Vectara Hallucination Rate | 14.2% | — |
| GPQA (HELM) | 68.4% | — |
| ARC (AI2) Challenge | — | 45.9% |
| BoolQ | — | 77.9% |
| MMLU | — | 45.8% |
| OpenBookQA | — | 58.6% |
| TriviaQA | — | 73.7% |

## Multimodal

- gpt-oss-120b: —
- Llama 2-7B: —

| Benchmark | gpt-oss-120b | Llama 2-7B |
|---|---|---|
| ScienceQA | — | 43.1% |

## Multilingual

- gpt-oss-120b: 48.2 (#142)
- Llama 2-7B: 23.9 (#288)

| Benchmark | gpt-oss-120b | Llama 2-7B |
|---|---|---|
| LMArena Non-English | 1350 | 973 |
| LMArena Chinese | 1384 | 973 |
| LMArena French | 1370 | 969 |
| LMArena German | 1355 | 978 |
| LMArena Russian | 1343 | 995 |
| LMArena Spanish | 1388 | 1007 |
| LMArena Japanese | 1332 | — |
| LMArena Korean | 1283 | — |

## Instruction Following

- gpt-oss-120b: 69.5 (#168)
- Llama 2-7B: 51.0 (#293)

| Benchmark | gpt-oss-120b | Llama 2-7B |
|---|---|---|
| LMArena Instruction Following | 1318 | 1006 |
| IFEval | 83.6% | — |

## Long Context

- gpt-oss-120b: 31.4 (#273)
- Llama 2-7B: 30.4 (#282)

| Benchmark | gpt-oss-120b | Llama 2-7B |
|---|---|---|
| LMArena Longer Query | 1319 | 999 |
| Fiction.LiveBench | 44.4% | — |

## Writing & Preference

- gpt-oss-120b: 46.7 (#213)
- Llama 2-7B: 28.1 (#293)

| Benchmark | gpt-oss-120b | Llama 2-7B |
|---|---|---|
| LMArena Text | 1366 | 1053 |
| LMArena Creative Writing | 1274 | 1033 |
| LMArena Multi-Turn | 1340 | 1029 |
| Short-Story Creative Writing | 77.1% | — |
| EQ-Bench Creative Writing | 961 | — |
| WildBench | 84.5% | — |

## FAQ

### Is gpt-oss-120b better than Llama 2-7B?

gpt-oss-120b is the stronger model overall, scoring 36.0 to 28.6 on the Noometry Index.

### Is gpt-oss-120b or Llama 2-7B better for coding?

gpt-oss-120b scores higher on coding benchmarks: 33.2 versus 28.7 in the Noometry coding category.

### How many benchmarks do gpt-oss-120b and Llama 2-7B share?

17 benchmarks have published results for both models. gpt-oss-120b has 48 scored results on Noometry and Llama 2-7B has 29.