# gpt-oss-120b vs Llama 2-34B

> gpt-oss-120b has enough public results to be ranked (#217); Llama 2-34B does not yet, so treat this comparison as directional.

- Canonical page: https://noometry.com/compare/gpt-oss-120b-vs-llama-2-34b
- Last updated: 2026-10-12
- Shared benchmarks: 1

## Summary

- They share 1 benchmark with published results for both.
- gpt-oss-120b has downloadable open weights; the other is API-only.

## Snapshot

| | gpt-oss-120b | Llama 2-34B |
|---|---|---|
| Provider | OpenAI | Meta |
| Noometry Index | 36.3 | — |
| Rank | 217 | — |
| Context | 131K | — |
| Input $/M | $0.037 | — |
| Output $/M | $0.17 | — |
| Weights | Open | Proprietary |

## Coding

- gpt-oss-120b: 33.5 (#256)
- Llama 2-34B: —

| Benchmark | gpt-oss-120b | Llama 2-34B |
|---|---|---|
| SWE-bench Verified (bash only) | 26% | — |
| Aider Polyglot | 41.8% | — |
| SciCode | 36% | — |
| WeirdML | 48.2% | — |
| LMArena Coding | 1380 | — |
| ALE-Bench | 575.62 | — |
| AlgoTune | 1.41 | — |

## Agentic & Tool Use

- gpt-oss-120b: 12.2 (#153)
- Llama 2-34B: —

| Benchmark | gpt-oss-120b | Llama 2-34B |
|---|---|---|
| Terminal-Bench | 18.7% | — |
| APEX-Agents | 4.4% | — |
| METR Time Horizons | 56.6% | — |
| Vending-Bench 2 | -21.53 | — |

## Reasoning

- gpt-oss-120b: 20.0 (#245)
- Llama 2-34B: —

| Benchmark | gpt-oss-120b | Llama 2-34B |
|---|---|---|
| Epoch Capabilities Index | 139.93 | 105.2 |
| SimpleBench | 22.1% | — |
| Kagi LLM Benchmark | 58.6% | — |
| CritPt | 1.1% | — |
| Chess Puzzles | 20% | — |
| LMArena Hard Prompts | 1364 | — |
| Mystery Game Puzzles | 2% | — |
| DTBench | 76.3% | — |
| LMCA | 22.1% | — |
| Surface Evolver Bench | 25% | — |
| BIG-Bench Hard | — | 44.1% |
| PIQA | — | 81.9% |
| WinoGrande | — | 76.7% |

## Math

- gpt-oss-120b: 52.5 (#50)
- Llama 2-34B: —

| Benchmark | gpt-oss-120b | Llama 2-34B |
|---|---|---|
| OTIS Mock AIME 2024-2025 | 88.9% | — |
| Omni-MATH | 68.8% | — |
| LMArena Math | 1389 | — |
| GSM8K | — | 42.2% |

## Knowledge

- gpt-oss-120b: 42.4 (#96)
- Llama 2-34B: —

| Benchmark | gpt-oss-120b | Llama 2-34B |
|---|---|---|
| GPQA Diamond | 75.8% | — |
| MMLU-Pro | 79.5% | — |
| Confabulations | 15.7% | — |
| Vectara Hallucination Rate | 14.2% | — |
| GPQA (HELM) | 68.4% | — |
| LMArena Expert | 1356 | — |
| ARC (AI2) Challenge | — | 54.5% |
| BoolQ | — | 83.7% |
| MMLU | — | 62.6% |
| OpenBookQA | — | 58.2% |
| TriviaQA | — | 84.6% |

## Multilingual

- gpt-oss-120b: 48.0 (#147)
- Llama 2-34B: —

| Benchmark | gpt-oss-120b | Llama 2-34B |
|---|---|---|
| LMArena Non-English | 1351 | — |
| LMArena Chinese | 1385 | — |
| LMArena French | 1369 | — |
| LMArena German | 1353 | — |
| LMArena Japanese | 1331 | — |
| LMArena Korean | 1282 | — |
| LMArena Russian | 1343 | — |
| LMArena Spanish | 1389 | — |

## Instruction Following

- gpt-oss-120b: 69.3 (#173)
- Llama 2-34B: —

| Benchmark | gpt-oss-120b | Llama 2-34B |
|---|---|---|
| IFEval | 83.6% | — |
| LMArena Instruction Following | 1318 | — |

## Long Context

- gpt-oss-120b: 31.4 (#278)
- Llama 2-34B: —

| Benchmark | gpt-oss-120b | Llama 2-34B |
|---|---|---|
| Fiction.LiveBench | 44.4% | — |
| LMArena Longer Query | 1319 | — |

## Writing & Preference

- gpt-oss-120b: 46.5 (#217)
- Llama 2-34B: —

| Benchmark | gpt-oss-120b | Llama 2-34B |
|---|---|---|
| LMArena Text | 1365 | — |
| LMArena Creative Writing | 1275 | — |
| Short-Story Creative Writing | 77.1% | — |
| EQ-Bench Creative Writing | 961 | — |
| WildBench | 84.5% | — |
| LMArena Multi-Turn | 1340 | — |

## FAQ

### Is gpt-oss-120b better than Llama 2-34B?

gpt-oss-120b has enough public results to be ranked (#217); Llama 2-34B does not yet, so treat this comparison as directional.

### How many benchmarks do gpt-oss-120b and Llama 2-34B share?

1 benchmark has published results for both models. gpt-oss-120b has 48 scored results on Noometry and Llama 2-34B has 10.