Model comparison
gpt-oss-20b vs Llama 2-7B
gpt-oss-20b is the stronger model overall, scoring 32.1 to 28.6 on the Noometry Index.
Last verified . 16 shared benchmarks.
MetaSummary
- They share 16 benchmarks with published results for both. gpt-oss-20b scores higher in 8 categories and Llama 2-7B in 0 categories; 8 gaps are clear of the uncertainty.
- The widest gap is in multilingual, where gpt-oss-20b leads 42.4 to 23.9.
Side by side
| gpt-oss-20b | Llama 2-7B | |
|---|---|---|
| Provider | OpenAI | Meta |
| Noometry Index | 32.1 | 28.6 |
| Released | 2025-08-05 | 2023-07-18 |
| Weights | Open | Open |
| Context window | 131K | — |
| Max output | 16K | — |
| Input $ / M tokens | $0.018 | — |
| Output $ / M tokens | $0.09 | — |
| Results tracked | 34 | 29 |
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Category by category
Coding gpt-oss-20b leads
gpt-oss-20b: 37.1 (#185), Llama 2-7B: 28.7 (#302)
| Benchmark | gpt-oss-20b | Llama 2-7B |
|---|---|---|
| LMArena Coding | 1307 | 1002 |
| SciCode | 34.4% | — |
| WeirdML | 40.9% | — |
| ALE-Bench | 566.05 | — |
Agentic & Tool Use Not comparable
gpt-oss-20b: 9.2 (#146), Llama 2-7B: —
| Benchmark | gpt-oss-20b | Llama 2-7B |
|---|---|---|
| Terminal-Bench | 3.4% | — |
Reasoning gpt-oss-20b leads
gpt-oss-20b: 18.8 (#251), Llama 2-7B: 15.1 (#309)
| Benchmark | gpt-oss-20b | Llama 2-7B |
|---|---|---|
| Chess Puzzles | 4% | 0% |
| LMArena Hard Prompts | 1274 | 1009 |
| Epoch Capabilities Index | 137.81 | 98.54 |
| Kagi LLM Benchmark | 53.2% | — |
| CritPt | 1.4% | — |
| DTBench | 68% | — |
| LMCA | 14.5% | — |
| BIG-Bench Hard | — | 39.2% |
| HellaSwag | — | 77.2% |
| LAMBADA | — | 73.3% |
| PIQA | — | 78.8% |
| WinoGrande | — | 69.2% |
Math gpt-oss-20b leads
gpt-oss-20b: 37.6 (#93), Llama 2-7B: 28.2 (#231)
| Benchmark | gpt-oss-20b | Llama 2-7B |
|---|---|---|
| LMArena Math | 1317 | 1042 |
| OTIS Mock AIME 2024-2025 | 65.3% | — |
| Omni-MATH | 56.5% | — |
| GSM8K | — | 16.7% |
Knowledge gpt-oss-20b leads
gpt-oss-20b: 34.6 (#186), Llama 2-7B: 27.7 (#243)
| Benchmark | gpt-oss-20b | Llama 2-7B |
|---|---|---|
| LMArena Expert | 1258 | 1036 |
| GPQA Diamond | 60.8% | — |
| MMLU-Pro | 74% | — |
| GPQA (HELM) | 59.4% | — |
| ARC (AI2) Challenge | — | 45.9% |
| BoolQ | — | 77.9% |
| MMLU | — | 45.8% |
| OpenBookQA | — | 58.6% |
| TriviaQA | — | 73.7% |
Multimodal Not comparable
gpt-oss-20b: —, Llama 2-7B: —
| Benchmark | gpt-oss-20b | Llama 2-7B |
|---|---|---|
| ScienceQA | — | 43.1% |
Multilingual gpt-oss-20b leads
gpt-oss-20b: 42.4 (#192), Llama 2-7B: 23.9 (#288)
| Benchmark | gpt-oss-20b | Llama 2-7B |
|---|---|---|
| LMArena Non-English | 1269 | 973 |
| LMArena Chinese | 1311 | 973 |
| LMArena German | 1249 | 978 |
| LMArena Russian | 1279 | 995 |
| LMArena Spanish | 1267 | 1007 |
| LMArena French | — | 969 |
| LMArena Japanese | 1245 | — |
| LMArena Korean | 1239 | — |
Instruction Following gpt-oss-20b leads
gpt-oss-20b: 62.0 (#235), Llama 2-7B: 51.0 (#293)
| Benchmark | gpt-oss-20b | Llama 2-7B |
|---|---|---|
| LMArena Instruction Following | 1236 | 1006 |
| IFEval | 73.2% | — |
Long Context gpt-oss-20b leads
gpt-oss-20b: 37.9 (#203), Llama 2-7B: 30.4 (#282)
| Benchmark | gpt-oss-20b | Llama 2-7B |
|---|---|---|
| LMArena Longer Query | 1251 | 999 |
Writing & Preference gpt-oss-20b leads
gpt-oss-20b: 35.8 (#260), Llama 2-7B: 28.1 (#293)
| Benchmark | gpt-oss-20b | Llama 2-7B |
|---|---|---|
| LMArena Text | 1288 | 1053 |
| LMArena Creative Writing | 1201 | 1033 |
| LMArena Multi-Turn | 1268 | 1029 |
| EQ-Bench Creative Writing | 666 | — |
| WildBench | 73.7% | — |
Frequently asked questions
Is gpt-oss-20b better than Llama 2-7B?
gpt-oss-20b is the stronger model overall, scoring 32.1 to 28.6 on the Noometry Index.
Is gpt-oss-20b or Llama 2-7B better for coding?
gpt-oss-20b scores higher on coding benchmarks: 37.1 versus 28.7 in the Noometry coding category.
How many benchmarks do gpt-oss-20b and Llama 2-7B share?
16 benchmarks have published results for both models. gpt-oss-20b has 34 scored results on Noometry and Llama 2-7B has 29.