Model comparison
GPT-6.1 Sol vs gpt-oss-20b
gpt-oss-20b has enough public results to be ranked (#249); GPT-6.1 Sol does not yet, so treat this comparison as directional.
Last verified . 0 shared benchmarks.
Summary
- The widest gap is in agentic & tool use, where GPT-6.1 Sol leads 34.3 to 9.2.
- gpt-oss-20b is cheaper at $0.018 / $0.09 per million input/output tokens, against $2 / $10 for GPT-6.1 Sol.
- GPT-6.1 Sol accepts more context: 1.05M tokens versus 131K.
- gpt-oss-20b has downloadable open weights; the other is API-only.
Side by side
| GPT-6.1 Sol | gpt-oss-20b | |
|---|---|---|
| Provider | OpenAI | OpenAI |
| Noometry Index | 42.1 | 32.1 |
| Released | 2026-09-29 | 2025-08-05 |
| Weights | Proprietary | Open |
| Context window | 1.05M | 131K |
| Max output | 128K | 16K |
| Input $ / M tokens | $2 | $0.018 |
| Output $ / M tokens | $10 | $0.09 |
| Results tracked | 2 | 34 |
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Category by category
Coding GPT-6.1 Sol leads
GPT-6.1 Sol: 51.4, gpt-oss-20b: 37.1 (#185)
| Benchmark | GPT-6.1 Sol | gpt-oss-20b |
|---|---|---|
| DeepSWE | 75.2% | — |
| SciCode | — | 34.4% |
| WeirdML | — | 40.9% |
| LMArena Coding | — | 1307 |
| ALE-Bench | — | 566.05 |
Agentic & Tool Use GPT-6.1 Sol leads
GPT-6.1 Sol: 34.3, gpt-oss-20b: 9.2 (#146)
| Benchmark | GPT-6.1 Sol | gpt-oss-20b |
|---|---|---|
| Terminal-Bench | — | 3.4% |
| GDP.pdf | 32% | — |
Reasoning Not comparable
GPT-6.1 Sol: —, gpt-oss-20b: 18.8 (#251)
| Benchmark | GPT-6.1 Sol | gpt-oss-20b |
|---|---|---|
| Kagi LLM Benchmark | — | 53.2% |
| CritPt | — | 1.4% |
| Chess Puzzles | — | 4% |
| LMArena Hard Prompts | — | 1274 |
| DTBench | — | 68% |
| LMCA | — | 14.5% |
| Epoch Capabilities Index | — | 137.81 |
Math Not comparable
GPT-6.1 Sol: —, gpt-oss-20b: 37.6 (#93)
| Benchmark | GPT-6.1 Sol | gpt-oss-20b |
|---|---|---|
| OTIS Mock AIME 2024-2025 | — | 65.3% |
| Omni-MATH | — | 56.5% |
| LMArena Math | — | 1317 |
Knowledge Not comparable
GPT-6.1 Sol: —, gpt-oss-20b: 34.6 (#186)
| Benchmark | GPT-6.1 Sol | gpt-oss-20b |
|---|---|---|
| GPQA Diamond | — | 60.8% |
| MMLU-Pro | — | 74% |
| GPQA (HELM) | — | 59.4% |
| LMArena Expert | — | 1258 |
Multilingual Not comparable
GPT-6.1 Sol: —, gpt-oss-20b: 42.4 (#192)
| Benchmark | GPT-6.1 Sol | gpt-oss-20b |
|---|---|---|
| LMArena Non-English | — | 1269 |
| LMArena Chinese | — | 1311 |
| LMArena German | — | 1249 |
| LMArena Japanese | — | 1245 |
| LMArena Korean | — | 1239 |
| LMArena Russian | — | 1279 |
| LMArena Spanish | — | 1267 |
Instruction Following Not comparable
GPT-6.1 Sol: —, gpt-oss-20b: 62.0 (#235)
| Benchmark | GPT-6.1 Sol | gpt-oss-20b |
|---|---|---|
| IFEval | — | 73.2% |
| LMArena Instruction Following | — | 1236 |
Long Context Not comparable
GPT-6.1 Sol: —, gpt-oss-20b: 37.9 (#203)
| Benchmark | GPT-6.1 Sol | gpt-oss-20b |
|---|---|---|
| LMArena Longer Query | — | 1251 |
Writing & Preference Not comparable
GPT-6.1 Sol: —, gpt-oss-20b: 35.8 (#260)
| Benchmark | GPT-6.1 Sol | gpt-oss-20b |
|---|---|---|
| LMArena Text | — | 1288 |
| LMArena Creative Writing | — | 1201 |
| EQ-Bench Creative Writing | — | 666 |
| WildBench | — | 73.7% |
| LMArena Multi-Turn | — | 1268 |
Frequently asked questions
Is GPT-6.1 Sol better than gpt-oss-20b?
gpt-oss-20b has enough public results to be ranked (#249); GPT-6.1 Sol does not yet, so treat this comparison as directional.
Which is cheaper, GPT-6.1 Sol 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-6.1 Sol lists at $2 and $10.
Is GPT-6.1 Sol or gpt-oss-20b better for coding?
GPT-6.1 Sol scores higher on coding benchmarks: 51.4 versus 37.1 in the Noometry coding category.
Which has the bigger context window?
GPT-6.1 Sol does, with 1.05M tokens against 131K.
How many benchmarks do GPT-6.1 Sol and gpt-oss-20b share?
0 benchmarks have published results for both models. GPT-6.1 Sol has 2 scored results on Noometry and gpt-oss-20b has 34.