Model comparison
gpt-oss-120b vs Phi-3.5-mini
gpt-oss-120b has enough public results to be ranked (#217); Phi-3.5-mini does not yet, so treat this comparison as directional.
Last verified . 0 shared benchmarks.
MicrosoftSide by side
| gpt-oss-120b | Phi-3.5-mini | |
|---|---|---|
| Provider | OpenAI | Microsoft |
| Noometry Index | 36.3 | 36.9 |
| Released | 2025-08-05 | 2024-08-16 |
| Weights | Open | Open |
| Context window | 131K | — |
| Max output | 41K | — |
| Input $ / M tokens | $0.037 | — |
| Output $ / M tokens | $0.17 | — |
| Results tracked | 48 | 5 |
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Category by category
Coding Phi-3.5-mini leads
gpt-oss-120b: 33.5 (#256), Phi-3.5-mini: 34.6 (#232)
| Benchmark | gpt-oss-120b | Phi-3.5-mini |
|---|---|---|
| SWE-bench Verified (bash only) | 26% | — |
| Aider Polyglot | 41.8% | — |
| SciCode | 36% | — |
| WeirdML | 48.2% | — |
| BigCodeBench Instruct | — | 32.8% |
| LMArena Coding | 1380 | — |
| BigCodeBench Complete | — | 38.5% |
| ALE-Bench | 575.62 | — |
| AlgoTune | 1.41 | — |
Agentic & Tool Use Not comparable
gpt-oss-120b: 12.2 (#153), Phi-3.5-mini: —
| Benchmark | gpt-oss-120b | Phi-3.5-mini |
|---|---|---|
| Terminal-Bench | 18.7% | — |
| APEX-Agents | 4.4% | — |
| METR Time Horizons | 56.6% | — |
| Vending-Bench 2 | -21.53 | — |
Reasoning Not comparable
gpt-oss-120b: 20.0 (#245), Phi-3.5-mini: —
| Benchmark | gpt-oss-120b | Phi-3.5-mini |
|---|---|---|
| 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% | — |
| Epoch Capabilities Index | 139.93 | — |
| PIQA | — | 81% |
Math Not comparable
gpt-oss-120b: 52.5 (#50), Phi-3.5-mini: —
| Benchmark | gpt-oss-120b | Phi-3.5-mini |
|---|---|---|
| OTIS Mock AIME 2024-2025 | 88.9% | — |
| Omni-MATH | 68.8% | — |
| LMArena Math | 1389 | — |
| GSM8K | — | 86.2% |
Knowledge Not comparable
gpt-oss-120b: 42.4 (#96), Phi-3.5-mini: —
| Benchmark | gpt-oss-120b | Phi-3.5-mini |
|---|---|---|
| GPQA Diamond | 75.8% | — |
| MMLU-Pro | 79.5% | — |
| Confabulations | 15.7% | — |
| Vectara Hallucination Rate | 14.2% | — |
| GPQA (HELM) | 68.4% | — |
| LMArena Expert | 1356 | — |
| BoolQ | — | 78% |
Multilingual Not comparable
gpt-oss-120b: 48.0 (#147), Phi-3.5-mini: —
| Benchmark | gpt-oss-120b | Phi-3.5-mini |
|---|---|---|
| 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 Not comparable
gpt-oss-120b: 69.3 (#173), Phi-3.5-mini: —
| Benchmark | gpt-oss-120b | Phi-3.5-mini |
|---|---|---|
| IFEval | 83.6% | — |
| LMArena Instruction Following | 1318 | — |
Long Context Not comparable
gpt-oss-120b: 31.4 (#278), Phi-3.5-mini: —
| Benchmark | gpt-oss-120b | Phi-3.5-mini |
|---|---|---|
| Fiction.LiveBench | 44.4% | — |
| LMArena Longer Query | 1319 | — |
Writing & Preference Not comparable
gpt-oss-120b: 46.5 (#217), Phi-3.5-mini: —
| Benchmark | gpt-oss-120b | Phi-3.5-mini |
|---|---|---|
| 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 | — |
Frequently asked questions
Is gpt-oss-120b better than Phi-3.5-mini?
gpt-oss-120b has enough public results to be ranked (#217); Phi-3.5-mini does not yet, so treat this comparison as directional.
Is gpt-oss-120b or Phi-3.5-mini better for coding?
Phi-3.5-mini scores higher on coding benchmarks: 34.6 versus 33.5 in the Noometry coding category.
How many benchmarks do gpt-oss-120b and Phi-3.5-mini share?
0 benchmarks have published results for both models. gpt-oss-120b has 48 scored results on Noometry and Phi-3.5-mini has 5.