Model comparison
GPT-4 vs gpt-oss-20b
gpt-oss-20b is the stronger model overall, scoring 32.1 to 28.9 on the Noometry Index.
Last verified . 24 shared benchmarks.
Summary
- They share 24 benchmarks with published results for both. GPT-4 scores higher in 1 category and gpt-oss-20b in 7 categories; 6 gaps are clear of the uncertainty.
- The widest gap is in math, where gpt-oss-20b leads 37.6 to 10.1.
- The biggest single-benchmark swing is OTIS Mock AIME 2024-2025: 1.1% for GPT-4 and 65.3% for gpt-oss-20b.
- gpt-oss-20b is cheaper at $0.018 / $0.09 per million input/output tokens, against $30 / $60 for GPT-4.
- gpt-oss-20b accepts more context: 131K tokens versus 8K.
- gpt-oss-20b has downloadable open weights; the other is API-only.
Side by side
| GPT-4 | gpt-oss-20b | |
|---|---|---|
| Provider | OpenAI | OpenAI |
| Noometry Index | 28.9 | 32.1 |
| Released | 2023-03-14 | 2025-08-05 |
| Weights | Proprietary | Open |
| Context window | 8K | 131K |
| Max output | 8K | 16K |
| Input $ / M tokens | $30 | $0.018 |
| Output $ / M tokens | $60 | $0.09 |
| Results tracked | 38 | 34 |
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Category by category
Coding gpt-oss-20b leads
GPT-4: 31.2 (#277), gpt-oss-20b: 37.1 (#185)
| Benchmark | GPT-4 | gpt-oss-20b |
|---|---|---|
| WeirdML | 12.4% | 40.9% |
| LMArena Coding | 1254 | 1307 |
| SciCode | — | 34.4% |
| BigCodeBench Instruct | 46% | — |
| BigCodeBench Complete | 57.2% | — |
| ALE-Bench | — | 566.05 |
| HumanEval+ | 79.3% | — |
Agentic & Tool Use Not comparable
GPT-4: —, gpt-oss-20b: 9.2 (#146)
| Benchmark | GPT-4 | gpt-oss-20b |
|---|---|---|
| Terminal-Bench | — | 3.4% |
| METR Time Horizons | 36.1% | — |
Reasoning gpt-oss-20b leads
GPT-4: 17.3 (#285), gpt-oss-20b: 18.8 (#251)
| Benchmark | GPT-4 | gpt-oss-20b |
|---|---|---|
| Chess Puzzles | 4% | 4% |
| LMArena Hard Prompts | 1241 | 1274 |
| DTBench | 62.7% | 68% |
| LMCA | 17.1% | 14.5% |
| Epoch Capabilities Index | 125.88 | 137.81 |
| Kagi LLM Benchmark | — | 53.2% |
| CritPt | — | 1.4% |
| Mystery Game Puzzles | 12% | — |
| BIG-Bench Hard | 75.1% | — |
| ForecastBench | 57.8 | — |
| HellaSwag | 95.3% | — |
| WinoGrande | 87.5% | — |
Math gpt-oss-20b leads
GPT-4: 10.1 (#304), gpt-oss-20b: 37.6 (#93)
| Benchmark | GPT-4 | gpt-oss-20b |
|---|---|---|
| OTIS Mock AIME 2024-2025 | 1.1% | 65.3% |
| LMArena Math | 1269 | 1317 |
| Omni-MATH | — | 56.5% |
| MATH Level 5 | 23% | — |
| GSM8K | 92% | — |
Knowledge gpt-oss-20b leads
GPT-4: 18.4 (#277), gpt-oss-20b: 34.6 (#186)
| Benchmark | GPT-4 | gpt-oss-20b |
|---|---|---|
| GPQA Diamond | 35.7% | 60.8% |
| LMArena Expert | 1211 | 1258 |
| MMLU-Pro | — | 74% |
| GPQA (HELM) | — | 59.4% |
| MMLU | 86.4% | — |
| TriviaQA | 84.8% | — |
Multilingual gpt-oss-20b leads
GPT-4: 40.8 (#210), gpt-oss-20b: 42.4 (#192)
| Benchmark | GPT-4 | gpt-oss-20b |
|---|---|---|
| LMArena Non-English | 1246 | 1269 |
| LMArena Chinese | 1242 | 1311 |
| LMArena German | 1251 | 1249 |
| LMArena Japanese | 1209 | 1245 |
| LMArena Korean | 1184 | 1239 |
| LMArena Russian | 1251 | 1279 |
| LMArena Spanish | 1261 | 1267 |
| LMArena French | 1282 | — |
Instruction Following GPT-4 leads
GPT-4: 65.5 (#217), gpt-oss-20b: 62.0 (#235)
| Benchmark | GPT-4 | gpt-oss-20b |
|---|---|---|
| LMArena Instruction Following | 1241 | 1236 |
| IFEval | — | 73.2% |
Long Context Too close to call
GPT-4: 37.7 (#207), gpt-oss-20b: 37.9 (#203)
| Benchmark | GPT-4 | gpt-oss-20b |
|---|---|---|
| LMArena Longer Query | 1244 | 1251 |
Writing & Preference Too close to call
GPT-4: 35.0 (#263), gpt-oss-20b: 35.8 (#260)
| Benchmark | GPT-4 | gpt-oss-20b |
|---|---|---|
| LMArena Text | 1263 | 1288 |
| LMArena Creative Writing | 1244 | 1201 |
| EQ-Bench Creative Writing | 752 | 666 |
| LMArena Multi-Turn | 1257 | 1268 |
| WildBench | — | 73.7% |
Frequently asked questions
Is GPT-4 better than gpt-oss-20b?
gpt-oss-20b is the stronger model overall, scoring 32.1 to 28.9 on the Noometry Index.
Which is cheaper, GPT-4 or gpt-oss-20b?
gpt-oss-20b is cheaper. It lists at $0.018 per million input tokens and $0.09 per million output tokens; GPT-4 lists at $30 and $60.
Is GPT-4 or gpt-oss-20b better for coding?
gpt-oss-20b scores higher on coding benchmarks: 37.1 versus 31.2 in the Noometry coding category.
Which has the bigger context window?
gpt-oss-20b does, with 131K tokens against 8K.
How many benchmarks do GPT-4 and gpt-oss-20b share?
24 benchmarks have published results for both models. GPT-4 has 38 scored results on Noometry and gpt-oss-20b has 34.