Model comparison
GPT-4.5 vs gpt-oss-20b
GPT-4.5 is the stronger model overall, scoring 37.2 to 32.5 on the Noometry Index.
Last verified . 20 shared benchmarks.
Summary
- They share 20 benchmarks with published results for both. GPT-4.5 scores higher in 6 categories and gpt-oss-20b in 3 categories; 9 gaps are clear of the uncertainty.
- The widest gap is in writing & preference, where GPT-4.5 leads 56.9 to 35.5.
- The biggest single-benchmark swing is OTIS Mock AIME 2024-2025: 37.8% for GPT-4.5 and 65.3% for gpt-oss-20b.
- gpt-oss-20b has downloadable open weights; the other is API-only.
Side by side
| GPT-4.5 | gpt-oss-20b | |
|---|---|---|
| Provider | OpenAI | OpenAI |
| Noometry Index | 37.2 | 32.5 |
| Released | 2025-02-27 | 2025-08-05 |
| Weights | Proprietary | Open |
| Context window | — | 131K |
| Max output | — | 16K |
| Input $ / M tokens | — | $0.018 |
| Output $ / M tokens | — | $0.09 |
| Results tracked | 42 | 34 |
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Category by category
Coding GPT-4.5 leads
GPT-4.5: 42.2 (#109), gpt-oss-20b: 37.6 (#192)
| Benchmark | GPT-4.5 | gpt-oss-20b |
|---|---|---|
| WeirdML | 39.4% | 40.9% |
| LMArena Coding | 1396 | 1306 |
| Aider Polyglot | 44.9% | — |
| SciCode | — | 34.4% |
| LiveBench Coding | 75.2% | — |
| ALE-Bench | — | 566.05 |
Agentic & Tool Use GPT-4.5 leads
GPT-4.5: 27.9 (#97), gpt-oss-20b: 9.3 (#154)
| Benchmark | GPT-4.5 | gpt-oss-20b |
|---|---|---|
| Terminal-Bench | — | 3.4% |
| Cybench | 17.5% | — |
Reasoning gpt-oss-20b leads
GPT-4.5: 13.9 (#330), gpt-oss-20b: 19.3 (#261)
| Benchmark | GPT-4.5 | gpt-oss-20b |
|---|---|---|
| LMArena Hard Prompts | 1403 | 1274 |
| Epoch Capabilities Index | 136.74 | 137.82 |
| ARC-AGI-2 | 0.8% | — |
| SimpleBench | 34.5% | — |
| Kagi LLM Benchmark | — | 53.2% |
| ARC-AGI-1 | 10.3% | — |
| CritPt | — | 1.4% |
| Chess Puzzles | — | 4% |
| EnigmaEval | 3.2% | — |
| LiveBench Reasoning | 71.1% | — |
| DTBench | — | 68% |
| LiveBench Data Analysis | 64.3% | — |
| LMCA | — | 14.5% |
| ForecastBench | 61.7 | — |
| LiveBench | 69% | — |
Math gpt-oss-20b leads
GPT-4.5: 32.6 (#211), gpt-oss-20b: 39.4 (#103)
| Benchmark | GPT-4.5 | gpt-oss-20b |
|---|---|---|
| OTIS Mock AIME 2024-2025 | 37.8% | 65.3% |
| LMArena Math | 1412 | 1317 |
| Omni-MATH | — | 56.5% |
| LiveBench Math | 69.3% | — |
| MATH Level 5 | 78.6% | — |
Knowledge gpt-oss-20b leads
GPT-4.5: 32.5 (#211), gpt-oss-20b: 34.6 (#195)
| Benchmark | GPT-4.5 | gpt-oss-20b |
|---|---|---|
| GPQA Diamond | 68.7% | 60.8% |
| LMArena Expert | 1394 | 1258 |
| Humanity's Last Exam | 5.4% | — |
| MMLU-Pro | — | 74% |
| Confabulations | 13.6% | — |
| GPQA (HELM) | — | 59.4% |
Multimodal Not comparable
GPT-4.5: 37.6 (#71), gpt-oss-20b: —
| Benchmark | GPT-4.5 | gpt-oss-20b |
|---|---|---|
| LMArena Vision | 1195 | — |
| VPCT | 45% | — |
Multilingual GPT-4.5 leads
GPT-4.5: 52.5 (#83), gpt-oss-20b: 42.2 (#197)
| Benchmark | GPT-4.5 | gpt-oss-20b |
|---|---|---|
| LMArena Non-English | 1413 | 1268 |
| LMArena Chinese | 1421 | 1314 |
| LMArena German | 1457 | 1255 |
| LMArena Japanese | 1416 | 1244 |
| LMArena Korean | 1392 | 1236 |
| LMArena Russian | 1419 | 1278 |
| LMArena French | 1418 | — |
| LMArena Spanish | — | 1267 |
Instruction Following GPT-4.5 leads
GPT-4.5: 72.6 (#134), gpt-oss-20b: 61.8 (#240)
| Benchmark | GPT-4.5 | gpt-oss-20b |
|---|---|---|
| LMArena Instruction Following | 1404 | 1236 |
| LiveBench Instruction Following | 72.3% | — |
| IFEval | — | 73.2% |
Long Context GPT-4.5 leads
GPT-4.5: 40.4 (#155), gpt-oss-20b: 37.9 (#209)
| Benchmark | GPT-4.5 | gpt-oss-20b |
|---|---|---|
| LMArena Longer Query | 1406 | 1250 |
| Fiction.LiveBench | 63.9% | — |
Writing & Preference GPT-4.5 leads
GPT-4.5: 56.9 (#134), gpt-oss-20b: 35.5 (#265)
| Benchmark | GPT-4.5 | gpt-oss-20b |
|---|---|---|
| LMArena Text | 1417 | 1287 |
| LMArena Creative Writing | 1394 | 1201 |
| EQ-Bench Creative Writing | 1258 | 666 |
| LMArena Multi-Turn | 1444 | 1268 |
| Short-Story Creative Writing | 75.6% | — |
| WildBench | — | 73.7% |
| LiveBench Language | 61.5% | — |
Frequently asked questions
Is GPT-4.5 better than gpt-oss-20b?
GPT-4.5 is the stronger model overall, scoring 37.2 to 32.5 on the Noometry Index.
Is GPT-4.5 or gpt-oss-20b better for coding?
GPT-4.5 scores higher on coding benchmarks: 42.2 versus 37.6 in the Noometry coding category.
How many benchmarks do GPT-4.5 and gpt-oss-20b share?
20 benchmarks have published results for both models. GPT-4.5 has 42 scored results on Noometry and gpt-oss-20b has 34.