Model comparison
gpt-oss-20b vs Phi-4
gpt-oss-20b is the stronger model overall, scoring 32.5 to 31.2 on the Noometry Index.
Last verified . 20 shared benchmarks.
Summary
- They share 20 benchmarks with published results for both. gpt-oss-20b scores higher in 7 categories and Phi-4 in 2 categories; 9 gaps are clear of the uncertainty.
- The widest gap is in math, where gpt-oss-20b leads 39.4 to 20.8.
- The biggest single-benchmark swing is OTIS Mock AIME 2024-2025: 65.3% for gpt-oss-20b and 13.8% for Phi-4.
- gpt-oss-20b is cheaper at $0.018 / $0.09 per million input/output tokens, against $0.07 / $0.14 for Phi-4.
- gpt-oss-20b accepts more context: 131K tokens versus 128K.
Side by side
| gpt-oss-20b | Phi-4 | |
|---|---|---|
| Provider | OpenAI | Microsoft |
| Noometry Index | 32.5 | 31.2 |
| Released | 2025-08-05 | 2024-12-11 |
| Weights | Open | Open |
| Context window | 131K | 128K |
| Max output | 16K | 4K |
| Input $ / M tokens | $0.018 | $0.07 |
| Output $ / M tokens | $0.09 | $0.14 |
| Results tracked | 34 | 37 |
Sponsored placements are available on pages like this one. Advertise on Noometry
Category by category
Coding gpt-oss-20b leads
gpt-oss-20b: 37.6 (#192), Phi-4: 34.4 (#239)
| Benchmark | gpt-oss-20b | Phi-4 |
|---|---|---|
| LMArena Coding | 1306 | 1231 |
| SciCode | 34.4% | — |
| WeirdML | 40.9% | — |
| BigCodeBench Instruct | — | 45.5% |
| LiveBench Coding | — | 30.7% |
| BigCodeBench Complete | — | 55.4% |
| ALE-Bench | 566.05 | — |
Agentic & Tool Use Phi-4 leads
gpt-oss-20b: 9.3 (#154), Phi-4: 22.8 (#128)
| Benchmark | gpt-oss-20b | Phi-4 |
|---|---|---|
| Terminal-Bench | 3.4% | — |
| Berkeley Function Calling Leaderboard | — | 28.8% |
| BALROG | — | 11.6% |
Reasoning gpt-oss-20b leads
gpt-oss-20b: 19.3 (#261), Phi-4: 17.7 (#291)
| Benchmark | gpt-oss-20b | Phi-4 |
|---|---|---|
| Chess Puzzles | 4% | 1% |
| LMArena Hard Prompts | 1274 | 1220 |
| Epoch Capabilities Index | 137.82 | 130.42 |
| Kagi LLM Benchmark | 53.2% | — |
| CritPt | 1.4% | — |
| LiveBench Reasoning | — | 47.8% |
| DTBench | 68% | — |
| LiveBench Data Analysis | — | 45.2% |
| LMCA | 14.5% | — |
| LiveBench | — | 41.6% |
Math gpt-oss-20b leads
gpt-oss-20b: 39.4 (#103), Phi-4: 20.8 (#285)
| Benchmark | gpt-oss-20b | Phi-4 |
|---|---|---|
| OTIS Mock AIME 2024-2025 | 65.3% | 13.8% |
| LMArena Math | 1317 | 1246 |
| Omni-MATH | 56.5% | — |
| LiveBench Math | — | 42% |
| MATH Level 5 | — | 64.9% |
Knowledge gpt-oss-20b leads
gpt-oss-20b: 34.6 (#195), Phi-4: 32.6 (#209)
| Benchmark | gpt-oss-20b | Phi-4 |
|---|---|---|
| GPQA Diamond | 60.8% | 56.1% |
| LMArena Expert | 1258 | 1203 |
| MMLU-Pro | 74% | — |
| Confabulations | — | 29.4% |
| Vectara Hallucination Rate | — | 3.7% |
| GPQA (HELM) | 59.4% | — |
| MMLU | — | 84.8% |
Multilingual gpt-oss-20b leads
gpt-oss-20b: 42.2 (#197), Phi-4: 37.2 (#237)
| Benchmark | gpt-oss-20b | Phi-4 |
|---|---|---|
| LMArena Non-English | 1268 | 1197 |
| LMArena Chinese | 1314 | 1212 |
| LMArena German | 1255 | 1222 |
| LMArena Japanese | 1244 | 1158 |
| LMArena Korean | 1236 | 1151 |
| LMArena Russian | 1278 | 1209 |
| LMArena Spanish | 1267 | 1234 |
| LMArena French | — | 1224 |
Instruction Following gpt-oss-20b leads
gpt-oss-20b: 61.8 (#240), Phi-4: 60.4 (#251)
| Benchmark | gpt-oss-20b | Phi-4 |
|---|---|---|
| LMArena Instruction Following | 1236 | 1201 |
| LiveBench Instruction Following | — | 58.4% |
| IFEval | 73.2% | — |
Long Context gpt-oss-20b leads
gpt-oss-20b: 37.9 (#209), Phi-4: 36.9 (#226)
| Benchmark | gpt-oss-20b | Phi-4 |
|---|---|---|
| LMArena Longer Query | 1250 | 1217 |
Writing & Preference Phi-4 leads
gpt-oss-20b: 35.5 (#265), Phi-4: 40.5 (#244)
| Benchmark | gpt-oss-20b | Phi-4 |
|---|---|---|
| LMArena Text | 1287 | 1217 |
| LMArena Creative Writing | 1201 | 1182 |
| LMArena Multi-Turn | 1268 | 1206 |
| Short-Story Creative Writing | — | 62.6% |
| EQ-Bench Creative Writing | 666 | — |
| WildBench | 73.7% | — |
| LiveBench Language | — | 25.6% |
Frequently asked questions
Is gpt-oss-20b better than Phi-4?
gpt-oss-20b is the stronger model overall, scoring 32.5 to 31.2 on the Noometry Index.
Which is cheaper, gpt-oss-20b or Phi-4?
gpt-oss-20b is cheaper. It lists at $0.018 per million input tokens and $0.09 per million output tokens; Phi-4 lists at $0.07 and $0.14.
Is gpt-oss-20b or Phi-4 better for coding?
gpt-oss-20b scores higher on coding benchmarks: 37.6 versus 34.4 in the Noometry coding category.
Which has the bigger context window?
gpt-oss-20b does, with 131K tokens against 128K.
How many benchmarks do gpt-oss-20b and Phi-4 share?
20 benchmarks have published results for both models. gpt-oss-20b has 34 scored results on Noometry and Phi-4 has 37.