AI Rankings
gpt-oss-20b: Score, Price and Context Window
Data updated
- OpenAI
- Open weights
- Released Aug 2025
Its score range overlaps with Qwen3-14B, the model just above it, so a small gap in rank is not a meaningful difference.
Best for
- Keeping costs low: it is among the cheapest quarter of models in the top half by score.
- Running it yourself: its weights can be downloaded (read the licence terms first).
These lines are worked out from the numbers on this page, not from hands-on testing.
Key facts
- Price per million tokens
- $0.06 in / $0.24 out
- Blended $0.10. Cached input $0.035. Median across hosting providers, checked 26 Oct 2026.
Features listed by the price list: Reasoning, Tool use.
How gpt-oss-20b stacks up
- Overall capability137.7
Better than 50% of the other 269 modelsUpper half
Epoch Capabilities Index: one score that combines many tests.
- Human preference: chat1317
Better than 16% of the other 165 models
How often people pick its answers over another model's on Arena.
- Human preference: coding1368
Better than 20% of the other 165 models
How often people pick its answers to coding questions on Arena.
- Price$0.10 per 1M
Cheaper than 92% of the other 200 priced modelsTop 10%
Blended price per million tokens. Lower is better, so the cheapest models sit on the right.
- Context window131K tokens
Larger context window than 28% of the other 198 models
How much text it can read at once. Bigger suits long documents.
Where gpt-oss-20b ranks
Test results
OTIS Mock AIME
Maths competition problems in the style of the US AIME exam, from the 2024 and 2025 sets. Every answer is a whole number.
65.3%
Place 107 of 174
GPQA Diamond
Very hard multiple-choice science questions in biology, physics and chemistry, written by experts and designed so a quick web search does not give the answer.
60.8%
Terminal-Bench
Tasks done in a computer terminal, such as setting up software or fixing a broken build, checked by automatic tests. Scores here use the benchmark's standard reference agent so models are compared on the same footing.
3.1%
What it costs in everyday terms
- 100 chats
- $0.02
- Cost of 100 chats assumes each chat sends 1,000 tokens (about 750 words) and gets 500 tokens (about 375 words) back.
- A 300-page book
- less than $0.01
- Cost to read a 300-page book assumes about 100,000 input tokens and no reply. A real book varies with page size and language.
- Blended price
- $0.10 per 1M
- Three parts input to one part output. Our own calculation for comparing models.
Assumptions: 100 chats of about 1,000 tokens in and 500 tokens back. a 300-page book of about 100,000 tokens, read once with no reply.
Similar models
Questions about gpt-oss-20b
- How much does gpt-oss-20b cost?
- gpt-oss-20b costs $0.06 per million input tokens and $0.24 per million output tokens, using the median price across hosting providers as of 26 Oct 2026. That is about $0.02 for 100 chats of about 1,000 tokens in and 500 tokens back. Confirm on the maker's site before you buy, because prices change.
- What is the context window of gpt-oss-20b?
- gpt-oss-20b has a context window of 131K tokens, roughly 98,000 words of text read at once. A single answer can be up to 131K tokens long.
- Is gpt-oss-20b open source?
- gpt-oss-20b has open weights: its trained parameters can be downloaded. That is not always the same as open source, because licence terms differ, so read the licence before you use it commercially.
- How good is gpt-oss-20b compared with other AI models?
- On the Epoch Capabilities Index, gpt-oss-20b scores 137.7 (likely range 132.2 to 139.6), which ranks 134 of 270 models we track. On Arena's human-vote text board it is ranked 139 of 166. Scores close together are a tie in practice.
- How does gpt-oss-20b compare with QwQ-32B?
- QwQ-32B scores higher on 2 of 5 shared quality measures, gpt-oss-20b on 1. 2 measures are too close to call. gpt-oss-20b costs about 60% less than QwQ-32B on a blended price of $0.10 against $0.26 per million tokens. See the full comparison for every measure.
- How current are these numbers for gpt-oss-20b?
- The newest data on this page is dated 26 Oct 2026. Scores come from Epoch AI and Arena, prices from the open LiteLLM price list.
Where this data comes from
- Epoch AI: Benchmark data: Epoch AI, 'Capabilities & benchmarking', epoch.ai/benchmarks (CC BY 4.0). We match models across sources, rank them and show them in charts. Scores are not changed. Epoch AI does not endorse this site.
- Arena (formerly LMArena): Human-preference ratings: Arena (arena.ai) leaderboard dataset, CC BY 4.0. We keep the latest published ratings, match them to models from other sources and rank them. Ratings are not changed. Arena does not endorse this site.
- LiteLLM model price list: Prices and context windows: LiteLLM model price list (github.com/BerriAI/litellm, MIT licence). We use the model maker's own price entry when there is one. Prices change often, so always confirm on the maker's site before you buy.
Newest data on this page: 26 Oct 2026. Prices are list prices and change often, so confirm on the maker's site before you buy. Sponsors never change a score or an order. How we calculate this · Report a mistake