Model comparison
gpt-oss-20b vs Llama 13b
gpt-oss-20b is the stronger model overall, scoring 32.5 to 24.4 on the Noometry Index.
Last verified . 9 shared benchmarks.
MetaSummary
- They share 9 benchmarks with published results for both. gpt-oss-20b scores higher in 6 categories and Llama 13b in 0 categories; 6 gaps are clear of the uncertainty.
- The widest gap is in multilingual, where gpt-oss-20b leads 42.2 to 16.6.
Side by side
| gpt-oss-20b | Llama 13b | |
|---|---|---|
| Provider | OpenAI | Meta |
| Noometry Index | 32.5 | 24.4 |
| Released | 2025-08-05 | 2023-02-24 |
| Weights | Open | Open |
| Context window | 131K | — |
| Max output | 16K | — |
| Input $ / M tokens | $0.018 | — |
| Output $ / M tokens | $0.09 | — |
| Results tracked | 34 | 21 |
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Category by category
Coding gpt-oss-20b leads
gpt-oss-20b: 37.6 (#192), Llama 13b: 21.4 (#337)
| Benchmark | gpt-oss-20b | Llama 13b |
|---|---|---|
| LMArena Coding | 1306 | 683 |
| SciCode | 34.4% | — |
| WeirdML | 40.9% | — |
| ALE-Bench | 566.05 | — |
Agentic & Tool Use Not comparable
gpt-oss-20b: 9.3 (#154), Llama 13b: —
| Benchmark | gpt-oss-20b | Llama 13b |
|---|---|---|
| Terminal-Bench | 3.4% | — |
Reasoning gpt-oss-20b leads
gpt-oss-20b: 19.3 (#261), Llama 13b: 14.0 (#329)
| Benchmark | gpt-oss-20b | Llama 13b |
|---|---|---|
| LMArena Hard Prompts | 1274 | 728 |
| Epoch Capabilities Index | 137.82 | 100.58 |
| Kagi LLM Benchmark | 53.2% | — |
| CritPt | 1.4% | — |
| Chess Puzzles | 4% | — |
| DTBench | 68% | — |
| LMCA | 14.5% | — |
| BIG-Bench Hard | — | 37.9% |
| HellaSwag | — | 79.2% |
| LAMBADA | — | 75.2% |
| PIQA | — | 80.1% |
| WinoGrande | — | 73% |
Math gpt-oss-20b leads
gpt-oss-20b: 39.4 (#103), Llama 13b: 26.7 (#256)
| Benchmark | gpt-oss-20b | Llama 13b |
|---|---|---|
| LMArena Math | 1317 | 838 |
| OTIS Mock AIME 2024-2025 | 65.3% | — |
| Omni-MATH | 56.5% | — |
| GSM8K | — | 20.6% |
Knowledge Not comparable
gpt-oss-20b: 34.6 (#195), Llama 13b: —
| Benchmark | gpt-oss-20b | Llama 13b |
|---|---|---|
| GPQA Diamond | 60.8% | — |
| MMLU-Pro | 74% | — |
| GPQA (HELM) | 59.4% | — |
| LMArena Expert | 1258 | — |
| ARC (AI2) Challenge | — | 52.7% |
| BoolQ | — | 78.7% |
| MMLU | — | 47.7% |
| OpenBookQA | — | 56.4% |
| TriviaQA | — | 77.9% |
Multimodal Not comparable
gpt-oss-20b: —, Llama 13b: —
| Benchmark | gpt-oss-20b | Llama 13b |
|---|---|---|
| ScienceQA | — | 43.3% |
Multilingual gpt-oss-20b leads
gpt-oss-20b: 42.2 (#197), Llama 13b: 16.6 (#297)
| Benchmark | gpt-oss-20b | Llama 13b |
|---|---|---|
| LMArena Non-English | 1268 | 819 |
| LMArena Chinese | 1314 | — |
| LMArena German | 1255 | — |
| LMArena Japanese | 1244 | — |
| LMArena Korean | 1236 | — |
| LMArena Russian | 1278 | — |
| LMArena Spanish | 1267 | — |
Instruction Following gpt-oss-20b leads
gpt-oss-20b: 61.8 (#240), Llama 13b: 36.7 (#305)
| Benchmark | gpt-oss-20b | Llama 13b |
|---|---|---|
| LMArena Instruction Following | 1236 | 781 |
| IFEval | 73.2% | — |
Long Context Not comparable
gpt-oss-20b: 37.9 (#209), Llama 13b: —
| Benchmark | gpt-oss-20b | Llama 13b |
|---|---|---|
| LMArena Longer Query | 1250 | — |
Writing & Preference gpt-oss-20b leads
gpt-oss-20b: 35.5 (#265), Llama 13b: 13.8 (#312)
| Benchmark | gpt-oss-20b | Llama 13b |
|---|---|---|
| LMArena Text | 1287 | 834 |
| LMArena Creative Writing | 1201 | 794 |
| LMArena Multi-Turn | 1268 | 753 |
| EQ-Bench Creative Writing | 666 | — |
| WildBench | 73.7% | — |
Frequently asked questions
Is gpt-oss-20b better than Llama 13b?
gpt-oss-20b is the stronger model overall, scoring 32.5 to 24.4 on the Noometry Index.
Is gpt-oss-20b or Llama 13b better for coding?
gpt-oss-20b scores higher on coding benchmarks: 37.6 versus 21.4 in the Noometry coding category.
How many benchmarks do gpt-oss-20b and Llama 13b share?
9 benchmarks have published results for both models. gpt-oss-20b has 34 scored results on Noometry and Llama 13b has 21.