Model comparison
DeepSeek-V3.2 vs gpt-oss-120b
- Input
- $0.30
- Output
- $0.45
- Context
- 128K
- Released
- 2025-12-01
- Input
- $0.039 / 1M tokens
- Output
- $0.18 / 1M tokens
- Context
- 131K
- Released
- 2025-08-05
DeepSeek-V3.2 scores higher on 3 of the 3 benchmarks both models report; gpt-oss-120b is cheaper on input tokens ($0 vs $0.3 per 1M, 7.7×); gpt-oss-120b has the larger context window (131K vs 128K).
Specs and pricing side by side
| Spec | DeepSeek-V3.2 | gpt-oss-120b |
|---|---|---|
| Maker | DeepSeek | OpenAI |
| Released | 2025-12-01 | 2025-08-05 |
| Context window | 128K | 131K |
| Max output | 64K | 131K |
| Input price | $0.30 | $0.039 / 1M tokens |
| Output price | $0.45 | $0.18 / 1M tokens |
| Parameters | 685B total / 37B active (MoE) | 116.8B total / 5.1B active (MoE) |
| License | MIT | Apache 2.0 |
| Weights | Open weights | Open weightssame |
| Modalities | Text | Textsame |
| Knowledge cutoff | Not disclosed | June 2024 |
Benchmarks both models report
| Benchmark | DeepSeek-V3.2 | gpt-oss-120b |
|---|---|---|
| GPQA-Diamond | 82.4% | 80.1% |
| SWE-bench Verified | 70% | 62.4% |
| Artificial Analysis Intelligence Index | 33% | 24% |
Scores are as published by each maker or its cited source; harness, reasoning effort and date can differ between rows, so treat small gaps as ties. Sources are listed on each model page.
Which one should you pick?
Pick DeepSeek-V3.2 if…
- You care about GPQA-Diamond, SWE-bench Verified, Artificial Analysis Intelligence Index (it scores higher on 3 shared benchmarks).
- Your use case is: cost-sensitive agentic workflows that need tool-calling plus reasoning.
Pick gpt-oss-120b if…
- Cost matters: input tokens cost 7.7× less ($0 vs $0.3 per 1M).
- You need the longer context (131K vs 128K).
- Your use case is: on-premise / private reasoning assistants where data cannot leave the org.
FAQ
Which is better, DeepSeek-V3.2 or gpt-oss-120b?
DeepSeek-V3.2 scores higher on 3 of the 3 benchmarks both models report; gpt-oss-120b is cheaper on input tokens ($0 vs $0.3 per 1M, 7.7×); gpt-oss-120b has the larger context window (131K vs 128K). The better pick depends on whether you value benchmark scores, price per token, context length or openness for your workload.
How much cheaper is gpt-oss-120b?
DeepSeek-V3.2: $0.30 input, $0.45 output. gpt-oss-120b: $0.039 / 1M tokens input, $0.18 / 1M tokens output (list API prices as published by each maker).
What are the context windows of DeepSeek-V3.2 and gpt-oss-120b?
DeepSeek-V3.2 offers 128K with up to 64K output; gpt-oss-120b offers 131K with up to 131K output.
Is DeepSeek-V3.2 newer than gpt-oss-120b?
DeepSeek-V3.2 was released 2025-12-01; gpt-oss-120b was released 2025-08-05.