Model comparison
gpt-oss-20b vs Phi-3.5-mini
gpt-oss-20b has enough public results to be ranked (#255); Phi-3.5-mini does not yet, so treat this comparison as directional.
Last verified . 0 shared benchmarks.
MicrosoftSummary
- The widest gap is in coding, where gpt-oss-20b leads 37.6 to 34.6.
Side by side
| gpt-oss-20b | Phi-3.5-mini | |
|---|---|---|
| Provider | OpenAI | Microsoft |
| Noometry Index | 32.5 | 36.9 |
| Released | 2025-08-05 | 2024-08-16 |
| Weights | Open | Open |
| Context window | 131K | — |
| Max output | 16K | — |
| Input $ / M tokens | $0.018 | — |
| Output $ / M tokens | $0.09 | — |
| Results tracked | 34 | 5 |
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Category by category
Coding gpt-oss-20b leads
gpt-oss-20b: 37.6 (#192), Phi-3.5-mini: 34.6 (#232)
| Benchmark | gpt-oss-20b | Phi-3.5-mini |
|---|---|---|
| SciCode | 34.4% | — |
| WeirdML | 40.9% | — |
| BigCodeBench Instruct | — | 32.8% |
| LMArena Coding | 1306 | — |
| BigCodeBench Complete | — | 38.5% |
| ALE-Bench | 566.05 | — |
Agentic & Tool Use Not comparable
gpt-oss-20b: 9.3 (#154), Phi-3.5-mini: —
| Benchmark | gpt-oss-20b | Phi-3.5-mini |
|---|---|---|
| Terminal-Bench | 3.4% | — |
Reasoning Not comparable
gpt-oss-20b: 19.3 (#261), Phi-3.5-mini: —
| Benchmark | gpt-oss-20b | Phi-3.5-mini |
|---|---|---|
| Kagi LLM Benchmark | 53.2% | — |
| CritPt | 1.4% | — |
| Chess Puzzles | 4% | — |
| LMArena Hard Prompts | 1274 | — |
| DTBench | 68% | — |
| LMCA | 14.5% | — |
| Epoch Capabilities Index | 137.82 | — |
| PIQA | — | 81% |
Math Not comparable
gpt-oss-20b: 39.4 (#103), Phi-3.5-mini: —
| Benchmark | gpt-oss-20b | Phi-3.5-mini |
|---|---|---|
| OTIS Mock AIME 2024-2025 | 65.3% | — |
| Omni-MATH | 56.5% | — |
| LMArena Math | 1317 | — |
| GSM8K | — | 86.2% |
Knowledge Not comparable
gpt-oss-20b: 34.6 (#195), Phi-3.5-mini: —
| Benchmark | gpt-oss-20b | Phi-3.5-mini |
|---|---|---|
| GPQA Diamond | 60.8% | — |
| MMLU-Pro | 74% | — |
| GPQA (HELM) | 59.4% | — |
| LMArena Expert | 1258 | — |
| BoolQ | — | 78% |
Multilingual Not comparable
gpt-oss-20b: 42.2 (#197), Phi-3.5-mini: —
| Benchmark | gpt-oss-20b | Phi-3.5-mini |
|---|---|---|
| LMArena Non-English | 1268 | — |
| LMArena Chinese | 1314 | — |
| LMArena German | 1255 | — |
| LMArena Japanese | 1244 | — |
| LMArena Korean | 1236 | — |
| LMArena Russian | 1278 | — |
| LMArena Spanish | 1267 | — |
Instruction Following Not comparable
gpt-oss-20b: 61.8 (#240), Phi-3.5-mini: —
| Benchmark | gpt-oss-20b | Phi-3.5-mini |
|---|---|---|
| IFEval | 73.2% | — |
| LMArena Instruction Following | 1236 | — |
Long Context Not comparable
gpt-oss-20b: 37.9 (#209), Phi-3.5-mini: —
| Benchmark | gpt-oss-20b | Phi-3.5-mini |
|---|---|---|
| LMArena Longer Query | 1250 | — |
Writing & Preference Not comparable
gpt-oss-20b: 35.5 (#265), Phi-3.5-mini: —
| Benchmark | gpt-oss-20b | Phi-3.5-mini |
|---|---|---|
| LMArena Text | 1287 | — |
| LMArena Creative Writing | 1201 | — |
| EQ-Bench Creative Writing | 666 | — |
| WildBench | 73.7% | — |
| LMArena Multi-Turn | 1268 | — |
Frequently asked questions
Is gpt-oss-20b better than Phi-3.5-mini?
gpt-oss-20b has enough public results to be ranked (#255); Phi-3.5-mini does not yet, so treat this comparison as directional.
Is gpt-oss-20b or Phi-3.5-mini better for coding?
gpt-oss-20b scores higher on coding benchmarks: 37.6 versus 34.6 in the Noometry coding category.
How many benchmarks do gpt-oss-20b and Phi-3.5-mini share?
0 benchmarks have published results for both models. gpt-oss-20b has 34 scored results on Noometry and Phi-3.5-mini has 5.