Model comparison
GPT-5.2 Pro vs gpt-oss-120b
GPT-5.2 Pro is the stronger model overall, scoring 52.2 to 36.0 on the Noometry Index. gpt-oss-120b costs 822× less per token, which makes it the better buy when GPT-5.2 Pro's lead doesn't matter for your workload.
Last verified . 2 shared benchmarks.
Summary
- They share 2 benchmarks with published results for both. GPT-5.2 Pro scores higher in 2 categories and gpt-oss-120b in 0 categories; 2 gaps are clear of the uncertainty.
- The widest gap is in reasoning, where GPT-5.2 Pro leads 51.8 to 19.5.
- The biggest single-benchmark swing is SimpleBench: 57.4% for GPT-5.2 Pro and 22.1% for gpt-oss-120b.
- gpt-oss-120b is cheaper at $0.037 / $0.17 per million input/output tokens, against $21 / $168 for GPT-5.2 Pro.
- GPT-5.2 Pro accepts more context: 400K tokens versus 131K.
- gpt-oss-120b has downloadable open weights; the other is API-only.
Side by side
| GPT-5.2 Pro | gpt-oss-120b | |
|---|---|---|
| Provider | OpenAI | OpenAI |
| Noometry Index | 52.2 | 36.0 |
| Released | 2025-12-11 | 2025-08-05 |
| Weights | Proprietary | Open |
| Context window | 400K | 131K |
| Max output | 128K | 41K |
| Input $ / M tokens | $21 | $0.037 |
| Output $ / M tokens | $168 | $0.17 |
| Results tracked | 8 | 48 |
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Category by category
Coding Not comparable
GPT-5.2 Pro: —, gpt-oss-120b: 33.2 (#251)
| Benchmark | GPT-5.2 Pro | gpt-oss-120b |
|---|---|---|
| SWE-bench Verified (bash only) | — | 26% |
| Aider Polyglot | — | 41.8% |
| SciCode | — | 36% |
| WeirdML | — | 48.2% |
| LMArena Coding | — | 1380 |
| ALE-Bench | — | 575.62 |
| AlgoTune | — | 1.41 |
Agentic & Tool Use Not comparable
GPT-5.2 Pro: —, gpt-oss-120b: 12.1 (#145)
| Benchmark | GPT-5.2 Pro | gpt-oss-120b |
|---|---|---|
| Terminal-Bench | — | 18.7% |
| APEX-Agents | — | 4.4% |
| METR Time Horizons | — | 56.6% |
| Vending-Bench 2 | — | -21.53 |
Reasoning GPT-5.2 Pro leads
GPT-5.2 Pro: 51.8 (#31), gpt-oss-120b: 19.5 (#236)
| Benchmark | GPT-5.2 Pro | gpt-oss-120b |
|---|---|---|
| SimpleBench | 57.4% | 22.1% |
| Epoch Capabilities Index | 155.41 | 139.94 |
| ARC-AGI-2 | 54.2% | — |
| Kagi LLM Benchmark | — | 58.6% |
| NYT Connections (extended) | 79.3% | — |
| ARC-AGI-1 | 90.5% | — |
| CritPt | — | 1.1% |
| Chess Puzzles | — | 20% |
| LMArena Hard Prompts | — | 1364 |
| Mystery Game Puzzles | — | 2% |
| DTBench | — | 76.3% |
| LMCA | — | 22.1% |
| Surface Evolver Bench | — | 25% |
Math GPT-5.2 Pro leads
GPT-5.2 Pro: 64.8 (#23), gpt-oss-120b: 50.6 (#43)
| Benchmark | GPT-5.2 Pro | gpt-oss-120b |
|---|---|---|
| FrontierMath (Tiers 1-3) | 74% | — |
| FrontierMath Tier 4 | 46% | — |
| OTIS Mock AIME 2024-2025 | — | 88.9% |
| Omni-MATH | — | 68.8% |
| LMArena Math | — | 1388 |
| FrontierMath Tier 4 (v1) | 31.3% | — |
Knowledge Not comparable
GPT-5.2 Pro: —, gpt-oss-120b: 42.3 (#89)
| Benchmark | GPT-5.2 Pro | gpt-oss-120b |
|---|---|---|
| GPQA Diamond | — | 75.8% |
| MMLU-Pro | — | 79.5% |
| Confabulations | — | 15.7% |
| Vectara Hallucination Rate | — | 14.2% |
| GPQA (HELM) | — | 68.4% |
| LMArena Expert | — | 1356 |
Multilingual Not comparable
GPT-5.2 Pro: —, gpt-oss-120b: 48.2 (#142)
| Benchmark | GPT-5.2 Pro | gpt-oss-120b |
|---|---|---|
| LMArena Non-English | — | 1350 |
| LMArena Chinese | — | 1384 |
| LMArena French | — | 1370 |
| LMArena German | — | 1355 |
| LMArena Japanese | — | 1332 |
| LMArena Korean | — | 1283 |
| LMArena Russian | — | 1343 |
| LMArena Spanish | — | 1388 |
Instruction Following Not comparable
GPT-5.2 Pro: —, gpt-oss-120b: 69.5 (#168)
| Benchmark | GPT-5.2 Pro | gpt-oss-120b |
|---|---|---|
| IFEval | — | 83.6% |
| LMArena Instruction Following | — | 1318 |
Long Context Not comparable
GPT-5.2 Pro: —, gpt-oss-120b: 31.4 (#273)
| Benchmark | GPT-5.2 Pro | gpt-oss-120b |
|---|---|---|
| Fiction.LiveBench | — | 44.4% |
| LMArena Longer Query | — | 1319 |
Writing & Preference Not comparable
GPT-5.2 Pro: —, gpt-oss-120b: 46.7 (#213)
| Benchmark | GPT-5.2 Pro | gpt-oss-120b |
|---|---|---|
| LMArena Text | — | 1366 |
| LMArena Creative Writing | — | 1274 |
| Short-Story Creative Writing | — | 77.1% |
| EQ-Bench Creative Writing | — | 961 |
| WildBench | — | 84.5% |
| LMArena Multi-Turn | — | 1340 |
Frequently asked questions
Is GPT-5.2 Pro better than gpt-oss-120b?
GPT-5.2 Pro is the stronger model overall, scoring 52.2 to 36.0 on the Noometry Index. gpt-oss-120b costs 822× less per token, which makes it the better buy when GPT-5.2 Pro's lead doesn't matter for your workload.
Which is cheaper, GPT-5.2 Pro or gpt-oss-120b?
gpt-oss-120b is cheaper. It lists at $0.037 per million input tokens and $0.17 per million output tokens; GPT-5.2 Pro lists at $21 and $168.
Which has the bigger context window?
GPT-5.2 Pro does, with 400K tokens against 131K.
How many benchmarks do GPT-5.2 Pro and gpt-oss-120b share?
2 benchmarks have published results for both models. GPT-5.2 Pro has 8 scored results on Noometry and gpt-oss-120b has 48.