DeepSeek V3.2 vs gpt-oss-20b
Benchmarks, API pricing and specs, head to head. Data updated 2026-06-10.
DeepSeek V3.2
68.4DeepSeek · Sep 2025
The sparse-attention release that halved DeepSeek's already-lowest-in-class prices while keeping GPT-class quality.
gpt-oss-20b
OpenAI · Aug 2025
The small gpt-oss variant that runs on a 16GB consumer GPU or laptop — local reasoning for everyone, Apache 2.0 licensed.
The verdict
These two models don't yet share verified results on the benchmarks we track, so judge them on specs, pricing and intended use. On price the gap is dramatic: gpt-oss-20b works out roughly 3.6x cheaper per blended million tokens. gpt-oss-20b also takes 131K of context versus 128K for DeepSeek V3.2.
Specs & pricing
| DeepSeek V3.2 | gpt-oss-20b | |
|---|---|---|
| modhub Index | 68.4 | — |
| Input price / 1M | $0.28 | $0.05 |
| Output price / 1M | $0.42 | $0.2 |
| Context window | 128K | 131K |
| Max output | 64K | 131K |
| Open weights | yes (MIT) | yes (Apache 2.0) |
| Reasoning model | yes | yes |
| Multimodal input | text | text |
| Knowledge cutoff | Jul 2025 | Jun 2024 |
| Released | Sep 2025 | Aug 2025 |
| Example monthly cost* | $3.43 | $0.8 |
* 10M input + 1.5M output tokens per month at list prices, no caching. Green = better value on that row.
Frequently asked questions
- Which is better, DeepSeek V3.2 or gpt-oss-20b?
- These two models don't yet share verified results on the benchmarks we track, so judge them on specs, pricing and intended use. On price the gap is dramatic: gpt-oss-20b works out roughly 3.6x cheaper per blended million tokens. gpt-oss-20b also takes 131K of context versus 128K for DeepSeek V3.2.
- Which is cheaper, DeepSeek V3.2 or gpt-oss-20b?
- DeepSeek V3.2 costs $0.28/$0.42 per million input/output tokens, while gpt-oss-20b costs $0.05/$0.2. For a typical workload of 10M input and 1.5M output tokens per month, that's $3.43 versus $0.8.
- Which model is better for coding, DeepSeek V3.2 or gpt-oss-20b?
- We don't yet track SWE-bench Verified results for both models; check their individual pages for coding-related scores.