DeepSeek-V3 vs GPT OSS 20B
GPT OSS 20B comes out ahead, 61 to 49 on our weighted score, and it is the cheaper option too.
DeepSeek
DeepSeek-V3
49/100- ECI132.3
- Price$0.32 / $1.10
- Context131K
- Our pick
OpenAI
GPT OSS 20B
61/100- ECI137.8
- Price$0.07 / $0.25
- Context131K
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GPT OSS 20B is our pick
GPT OSS 20B is the better all-round choice, scoring 61/100 against DeepSeek-V3 (49). It leads on capability, price and inputs & features. The score weighs capability 50%, price 25%, inputs & features 15%, context window 10%.
- CapabilityGPT OSS 20BCapabilities Index (ECI): GPT OSS 20B 137.8 · DeepSeek-V3 132.3
- Lowest priceGPT OSS 20BGPT OSS 20B $0.115 · DeepSeek-V3 $0.515 per 1M tokens (3:1 blend)
- Longest contextAbout the sameDeepSeek-V3 131,072 · GPT OSS 20B 131,072 tokens
- Widest inputsSame inputsDeepSeek-V3: Text · GPT OSS 20B: Text
- Self-hostingAll open weightsEvery model here can be downloaded and run on your own hardware
| Measure | Weight | DeepSeek-V3 | GPT OSS 20B |
|---|---|---|---|
| CapabilityCapabilities Index (ECI) | 50% | 55 | 61 |
| Price | 25% | 61 | 90 |
| Inputs & features | 15% | 25 | 35 |
| Context window | 10% | 25 | 25 |
| Overall | 100% | 49/100 | 61/100 |
Every spec in one table
Highlighted cells lead their row. Dashes mean the data is not published.
| Specification | ||
|---|---|---|
| Capability | ||
| Capabilities Index (ECI) | 132.3 | 137.8 (best) |
| ECI rank | #136 of 165 | #122 of 165 (best) |
| GPQA DiamondGraduate-level science questions | 56.5% | 60.8% (best) |
| OTIS Mock AIME 2024–2025Competition mathematics | 15.8% | 65.3% (best) |
| Price per million tokens | ||
| Input | $0.32 | $0.07 (best) |
| Output | $1.10 | $0.25 (best) |
| Cached input | — | — |
| Blended (3:1) | $0.515 | $0.115 (best) |
| Long-context rate | Same rate | Same rate |
| Price source | Median of 8 providers | Median of 37 providers |
| Limits | ||
| Context window | 131,072 tokens | 131,072 tokens |
| Max output | 8,192 tokens | 32,768 tokens (best) |
| Inputs and features | ||
| Text | Yes | Yes |
| Images | No | No |
| PDFs | No | No |
| Audio | No | No |
| Video | No | No |
| Reasoning | No | Yes |
| Tool calling | Yes | Yes |
| Structured output | No | No |
| Availability | ||
| Weights | OpenDeepSeek Model License | Open |
| API model ID | — | — |
| API providers | 8 | 41 (best) |
| Released | Dec 26, 2024 | Aug 5, 2025 |
| Knowledge cutoff | — | Jun 2024 |
What would a month cost?
Enter your expected volume in millions of tokens. List prices only; caching and batch discounts would lower these.
DeepSeek-V3$5.40
GPT OSS 20B$1.20
Which should you choose?
Which is better: DeepSeek-V3 or GPT OSS 20B?
GPT OSS 20B is the better all-round choice, scoring 61/100 against DeepSeek-V3 (49). It leads on capability, price and inputs & features. The score weighs capability 50%, price 25%, inputs & features 15%, context window 10%.
Which is cheaper, DeepSeek-V3 or GPT OSS 20B?
GPT OSS 20B is cheaper at $0.07 input / $0.25 output per million tokens (median across 37 API providers). DeepSeek-V3 costs $0.32 input / $1.10 output per million tokens (median across 8 API providers). At a typical mix of three input tokens to one output token, that is $0.115 per million tokens for GPT OSS 20B versus $0.515 for DeepSeek-V3 (4.5× as much).
Which scores higher on benchmarks?
GPT OSS 20B scores higher on the Capabilities Index (ECI): GPT OSS 20B 137.8 (#122 of 165) and DeepSeek-V3 132.3 (#136 of 165). The confidence ranges of the top two overlap (133.1–139.7 vs 127.5–135.5), so treat the gap as small. On individual benchmarks: GPQA Diamond — GPT OSS 20B 60.8%, DeepSeek-V3 56.5%; OTIS Mock AIME 2024–2025 — GPT OSS 20B 65.3%, DeepSeek-V3 15.8%.
Which is better for coding?
There are no published SWE-bench Verified results for DeepSeek-V3 and GPT OSS 20B yet, so there is no like-for-like coding score. On overall capability, GPT OSS 20B 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?
DeepSeek-V3 and GPT OSS 20B share the same 131,072-token context window. Maximum output per response: DeepSeek-V3 up to 8,192, GPT OSS 20B up to 32,768 tokens.
Which can read images, PDFs, audio or video?
DeepSeek-V3 accepts text; GPT OSS 20B accepts text. They handle the same number of input types.
Are any of these open source?
Yes, both publish their weights (DeepSeek Model License), so you can self-host them.
Which is newer?
GPT OSS 20B is the newest, released Aug 5, 2025. DeepSeek-V3 came out Dec 26, 2024. Knowledge cutoff: GPT OSS 20B Jun 2024.
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 Nov 2, 2026.