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GPT-OSS 20B by OpenAI scores 33.23 overall, costs $0.018 per 1M input tokens and $0.09 per 1M output tokens, and carries a context window of 128K tokens — observed 2026-10-23.
OpenAI · Open Weight · rank 173 · bench-align-v5
Self-hostedSeven axes from the ranking source. A missing axis is drawn as a gap.
Measured values with the date they were observed. Nothing is inferred from a sibling model or a provider claim.
Time to first token: latency to the first answer chunk (Artificial Analysis, via BenchLM). Reasoning models include thinking time, so values can run to tens or hundreds of seconds.
Evidence key: Observed
| Measurement | Value | Observed | Last good | Evidence |
|---|---|---|---|---|
| Time to first token | 0.65 s | 2026-10-23 | 2026-10-23 | |
| Throughput | 313 tok/s | 2026-10-23 | 2026-10-23 |
Regional or per-endpoint measurements appear only when the API supplies them; none are modelled here.
Every published price component, including cache reads and writes.
10 conversations per day × 8 messages × 22 active days, 1200 input and 400 output tokens per message, no cache. This uses the same calculator as the cost simulator, so an unavailable applicable rate makes the example unavailable too.
24 matched benchmark rows with their published value, unit, and provenance.
| Benchmark | Value | Tasks | Difficulty | Provenance |
|---|---|---|---|---|
| MMLU Massive Multitask Language Understanding | 85.3 | 57 subjects | Elementary to professional level | Measuring Massive Multitask Language Understanding |
| GPQA Graduate-Level Google-Proof Q&A | 71.5 | 448 questions | Graduate level | GPQA: A Graduate-Level Google-Proof Q&A Benchmark |
| HLE Humanity's Last Exam | 10.9 | Expert-level questions | Frontier expert level | Humanity's Last Exam |
| Artificial Analysis Intelligence Index Artificial Analysis Intelligence Index | 9.0 |
Lifecycle events the source associates with this model, plus what this profile does not claim.
That is not evidence the model has no lifecycle plan — only that this source published none.
| Cross-benchmark intelligence index |
| Display-only external reference |
| Artificial Analysis |
| AA-GPQA Diamond Artificial Analysis GPQA Diamond | 68.8 | Graduate-level science questions | Graduate-level science reasoning | Artificial Analysis GPQA Diamond Benchmark Leaderboard |
| AA-HLE Artificial Analysis Humanity's Last Exam | 11.0 | Expert-level questions | Frontier expert reasoning | Artificial Analysis Humanity's Last Exam Benchmark Leaderboard |
| AA-Omniscience Index Artificial Analysis Omniscience Index | -63.0 | Knowledge questions | Broad factual knowledge | AA-Omniscience: Knowledge and Hallucination Benchmark |
| AA-Omniscience Accuracy Artificial Analysis Omniscience Accuracy | 16.0 | Knowledge questions | Broad knowledge | Artificial Analysis model benchmarks |
| AA-Omniscience Hallucination Rate Artificial Analysis Omniscience Hallucination Rate | 94.1 | Knowledge questions | Factuality | Artificial Analysis model benchmarks |
| Benchmark | Value | Tasks | Difficulty | Provenance |
|---|---|---|---|---|
| SWE-bench Verified Software Engineering Benchmark Verified | 60.7 | 500 verified issues | Professional software engineering | SWE-bench: Can Language Models Resolve Real-World GitHub Issues? |
| React Native Evals React Native Evals | 71 | React Native app implementation tasks | Production mobile app engineering | React Native Evals |
| AA Coding Index Artificial Analysis Coding Index | 20.7 | Cross-benchmark coding index | Display-only external reference | Artificial Analysis model leaderboards |
| AA-SciCode Artificial Analysis SciCode | 38.9 | Scientific coding subproblems | Scientific programming | Artificial Analysis SciCode Benchmark Leaderboard |
| Benchmark | Value | Tasks | Difficulty | Provenance |
|---|---|---|---|---|
| AIME 2024 American Invitational Mathematics Examination 2024 | 92.1 | 15 problems | High school olympiad level | American Invitational Mathematics Examination |
| AIME 2025 American Invitational Mathematics Examination 2025 | 91.7 | 15 problems | High school olympiad level | American Invitational Mathematics Examination |
| Benchmark | Value | Tasks | Difficulty | Provenance |
|---|---|---|---|---|
| AA-LCR Artificial Analysis Long Context Reasoning | 34.7 | Long-context reasoning tasks | Long-context reasoning | Artificial Analysis model benchmarks |
| CritPt Critical Physics Tasks | 1.4 | Research-level physics questions | Research-level physics reasoning | CritPt Benchmark Leaderboard |
| Benchmark | Value | Tasks | Difficulty | Provenance |
|---|---|---|---|---|
| AA-IFBench Artificial Analysis IFBench | 65.1 | Verifiable instruction constraints | Instruction precision | Artificial Analysis IFBench Benchmark Leaderboard |
| Benchmark | Value | Tasks | Difficulty | Provenance |
|---|---|---|---|---|
| GDPval-AA GDPval-AA | 514 | Agentic real-world work tasks | Professional agentic workflows | DeepSeek-V4 Technical Report |
| GDPval-AA GDPval-AA normalized | 0.0 | Economically valuable tasks | Professional agentic workflows | Artificial Analysis model benchmarks |
| AA Agentic Index Artificial Analysis Agentic Index | 1.4 | Cross-benchmark agentic index | Display-only external reference | Artificial Analysis model leaderboards |
| APEX-Agents-AA APEX-Agents-AA | 0.7 | 452 professional-services agent tasks | Long-horizon workplace agent tasks | APEX-Agents-AA Benchmark Leaderboard |
| τ²-bench results τ²-Bench Tool-Agent-User Evaluation | 60.2 | Airline, retail, and telecom customer-service task sets | Dual-control customer-service workflows | τ²-Bench: Evaluating Conversational Agents in a Dual-Control Environment |
| Benchmark | Value | Tasks | Difficulty | Provenance |
|---|---|---|---|---|
| Design Arena Website Design Arena Website Elo | 854 | Website generation comparisons | Design and website generation | OpenRouter Grok 4.3 benchmarks |