GPT OSS 20B vs GPT OSS 120B
Too close to call on our weighted score (GPT OSS 20B 64, GPT OSS 120B 61). The right pick depends on what you value most.
OpenAI
GPT OSS 20B
64/100- ECI137.8
- Price$0.07 / $0.295
- Context131K
OpenAI
GPT OSS 120B
61/100- ECI140.0
- Price$0.15 / $0.60
- Context131K
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Make it a three-way comparison.
Too close to call
It is close. Our weighted score puts them within 2 points (GPT OSS 20B 64/100, GPT OSS 120B 61/100), so choose by what matters most for your work: GPT OSS 120B for raw capability and GPT OSS 20B on price. The score weighs capability 50%, price 25%, inputs & features 15%, context window 10%.
- CapabilityGPT OSS 120BCapabilities Index (ECI): GPT OSS 120B 140.0 · GPT OSS 20B 137.8
- Lowest priceGPT OSS 20BGPT OSS 20B $0.126 · GPT OSS 120B $0.263 per 1M tokens (3:1 blend)
- Longest contextAbout the sameGPT OSS 20B 131,072 · GPT OSS 120B 131,072 tokens
- Widest inputsSame inputsGPT OSS 20B: Text · GPT OSS 120B: Text
- Self-hostingAll open weightsEvery model here can be downloaded and run on your own hardware
| Measure | Weight | GPT OSS 20B | GPT OSS 120B |
|---|---|---|---|
| CapabilityCapabilities Index (ECI) | 50% | 63 | 65 |
| Price | 25% | 92 | 77 |
| Inputs & features | 15% | 45 | 45 |
| Context window | 10% | 24 | 24 |
| Overall | 100% | 64/100 | 61/100 |
Every spec in one table
Highlighted cells lead their row. Dashes mean the data is not published.
| Specification | ||
|---|---|---|
| Capability | ||
| Capabilities Index (ECI) | 137.8 | 140.0 (best) |
| ECI rank | #108 of 148 | #99 of 148 (best) |
| GPQA DiamondGraduate-level science questions | 60.8% | 75.8% (best) |
| OTIS Mock AIME 2024–2025Competition mathematics | 65.3% | 88.9% (best) |
| Price per million tokens | ||
| Input | $0.07 (best) | $0.15 |
| Output | $0.295 (best) | $0.60 |
| Cached input | — | — |
| Blended (3:1) | $0.126 (best) | $0.263 |
| Long-context rate | Same rate | Same rate |
| Price source | Median of 18 providers | Median of 36 providers |
| Limits | ||
| Context window | 131,072 tokens | 131,072 tokens |
| Max output | 32,768 tokens | 32,768 tokens |
| Inputs and features | ||
| Text | Yes | Yes |
| Images | No | No |
| PDFs | No | No |
| Audio | No | No |
| Video | No | No |
| Reasoning | Yes | Yes |
| Tool calling | Yes | Yes |
| Structured output | Yes | Yes |
| Availability | ||
| Weights | Open | Open |
| API model ID | — | — |
| API providers | 19 | 39 (best) |
| Released | Aug 5, 2025 | Aug 5, 2025 |
| Knowledge cutoff | — | — |
What would a month cost?
Enter your expected volume in millions of tokens. List prices only; caching and batch discounts would lower these.
GPT OSS 20B$1.29
GPT OSS 120B$2.70
Which should you choose?
Which is better: GPT OSS 20B or GPT OSS 120B?
It is close. Our weighted score puts them within 2 points (GPT OSS 20B 64/100, GPT OSS 120B 61/100), so choose by what matters most for your work: GPT OSS 120B for raw capability and GPT OSS 20B on price. The score weighs capability 50%, price 25%, inputs & features 15%, context window 10%.
Which is cheaper, GPT OSS 20B or GPT OSS 120B?
GPT OSS 20B is cheaper at $0.07 input / $0.295 output per million tokens (median across 18 API providers). GPT OSS 120B costs $0.15 input / $0.60 output per million tokens (median across 36 API providers). At a typical mix of three input tokens to one output token, that is $0.126 per million tokens for GPT OSS 20B versus $0.263 for GPT OSS 120B (2.1× as much).
Which scores higher on benchmarks?
GPT OSS 120B scores higher on the Capabilities Index (ECI): GPT OSS 120B 140.0 (#99 of 148) and GPT OSS 20B 137.8 (#108 of 148). The confidence ranges of the top two overlap (135.3–142.3 vs 133.0–139.6), so treat the gap as small. On individual benchmarks: GPQA Diamond — GPT OSS 120B 75.8%, GPT OSS 20B 60.8%; OTIS Mock AIME 2024–2025 — GPT OSS 120B 88.9%, GPT OSS 20B 65.3%.
Which is better for coding?
There are no published SWE-bench Verified results for GPT OSS 20B and GPT OSS 120B yet, so there is no like-for-like coding score. On overall capability, GPT OSS 120B leads, which tends to carry over to coding, but test on your own codebase. Both support tool calling for agent workflows.
Which has the bigger context window?
GPT OSS 20B and GPT OSS 120B share the same 131,072-token context window. Maximum output per response: GPT OSS 20B up to 32,768, GPT OSS 120B up to 32,768 tokens.
Which can read images, PDFs, audio or video?
GPT OSS 20B accepts text; GPT OSS 120B accepts text. They handle the same number of input types.
Are any of these open source?
Yes, both publish their weights, so you can self-host them.
Which is newer?
GPT OSS 20B is the newest, released Aug 5, 2025. GPT OSS 120B came out Aug 5, 2025.
How do you decide the winner?
Each model gets a 0–100 score on capability (50%, independent benchmark results); price (25%, blended price per million tokens (3 input : 1 output), log scale); inputs & features (15%, image, PDF, audio and video input, tool calling, structured output and reasoning); context window (10%, maximum tokens per request, log scale). Dimensions missing for any model are dropped and the remaining weights rescaled, so every model is judged on the same evidence. Specs and prices come from public model listings and the labs’ own API pages; capability scores come from independent benchmark runs. Data updated Oct 4, 2026.