Model comparison
gpt-oss-20b vs Wizardlm 13b
gpt-oss-20b is the stronger model overall, scoring 32.5 to 31.4 on the Noometry Index.
Last verified . 10 shared benchmarks.
MicrosoftSummary
- They share 10 benchmarks with published results for both. gpt-oss-20b scores higher in 6 categories and Wizardlm 13b in 1 category; 6 gaps are clear of the uncertainty.
- The widest gap is in multilingual, where gpt-oss-20b leads 42.2 to 27.1.
Side by side
| gpt-oss-20b | Wizardlm 13b | |
|---|---|---|
| Provider | OpenAI | Microsoft |
| Noometry Index | 32.5 | 31.4 |
| Released | 2025-08-05 | — |
| Weights | Open | Open |
| Context window | 131K | — |
| Max output | 16K | — |
| Input $ / M tokens | $0.018 | — |
| Output $ / M tokens | $0.09 | — |
| Results tracked | 34 | 10 |
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Category by category
Coding gpt-oss-20b leads
gpt-oss-20b: 37.6 (#192), Wizardlm 13b: 30.1 (#298)
| Benchmark | gpt-oss-20b | Wizardlm 13b |
|---|---|---|
| LMArena Coding | 1306 | 1035 |
| SciCode | 34.4% | — |
| WeirdML | 40.9% | — |
| ALE-Bench | 566.05 | — |
Agentic & Tool Use Not comparable
gpt-oss-20b: 9.3 (#154), Wizardlm 13b: —
| Benchmark | gpt-oss-20b | Wizardlm 13b |
|---|---|---|
| Terminal-Bench | 3.4% | — |
Reasoning Too close to call
gpt-oss-20b: 19.3 (#261), Wizardlm 13b: 19.4 (#259)
| Benchmark | gpt-oss-20b | Wizardlm 13b |
|---|---|---|
| LMArena Hard Prompts | 1274 | 1018 |
| Kagi LLM Benchmark | 53.2% | — |
| CritPt | 1.4% | — |
| Chess Puzzles | 4% | — |
| DTBench | 68% | — |
| LMCA | 14.5% | — |
| Epoch Capabilities Index | 137.82 | — |
Math gpt-oss-20b leads
gpt-oss-20b: 39.4 (#103), Wizardlm 13b: 30.2 (#238)
| Benchmark | gpt-oss-20b | Wizardlm 13b |
|---|---|---|
| LMArena Math | 1317 | 1017 |
| OTIS Mock AIME 2024-2025 | 65.3% | — |
| Omni-MATH | 56.5% | — |
Knowledge Not comparable
gpt-oss-20b: 34.6 (#195), Wizardlm 13b: —
| Benchmark | gpt-oss-20b | Wizardlm 13b |
|---|---|---|
| GPQA Diamond | 60.8% | — |
| MMLU-Pro | 74% | — |
| GPQA (HELM) | 59.4% | — |
| LMArena Expert | 1258 | — |
Multilingual gpt-oss-20b leads
gpt-oss-20b: 42.2 (#197), Wizardlm 13b: 27.1 (#277)
| Benchmark | gpt-oss-20b | Wizardlm 13b |
|---|---|---|
| LMArena Non-English | 1268 | 1034 |
| LMArena Chinese | 1314 | 1023 |
| 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), Wizardlm 13b: 53.5 (#285)
| Benchmark | gpt-oss-20b | Wizardlm 13b |
|---|---|---|
| LMArena Instruction Following | 1236 | 1048 |
| IFEval | 73.2% | — |
Long Context gpt-oss-20b leads
gpt-oss-20b: 37.9 (#209), Wizardlm 13b: 32.0 (#273)
| Benchmark | gpt-oss-20b | Wizardlm 13b |
|---|---|---|
| LMArena Longer Query | 1250 | 1054 |
Writing & Preference gpt-oss-20b leads
gpt-oss-20b: 35.5 (#265), Wizardlm 13b: 30.5 (#287)
| Benchmark | gpt-oss-20b | Wizardlm 13b |
|---|---|---|
| LMArena Text | 1287 | 1077 |
| LMArena Creative Writing | 1201 | 1091 |
| LMArena Multi-Turn | 1268 | 1047 |
| EQ-Bench Creative Writing | 666 | — |
| WildBench | 73.7% | — |
Frequently asked questions
Is gpt-oss-20b better than Wizardlm 13b?
gpt-oss-20b is the stronger model overall, scoring 32.5 to 31.4 on the Noometry Index.
Is gpt-oss-20b or Wizardlm 13b better for coding?
gpt-oss-20b scores higher on coding benchmarks: 37.6 versus 30.1 in the Noometry coding category.
How many benchmarks do gpt-oss-20b and Wizardlm 13b share?
10 benchmarks have published results for both models. gpt-oss-20b has 34 scored results on Noometry and Wizardlm 13b has 10.