DeepSeek V3.2 vs GPT-4.1 Nano
Head to head on 15 shared benchmarks, with price, context window, and release dates.
Benchmark scores
51evals · sort by any column, ⤢ to expand fullscreen
| Model | ||||||||||||||||||||||||||||||||||||||||||||||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| DeepSeek V3.2 DeepSeek | 74.2% | 59.0% | 47.9% | 1511elo | 66.8 | 22.1% | 75.1% | 11.2% | 49.0% | 59.3% | 83.7% | 38.7% | 68.2% | 32.6% | 78.9% | 74.7% | - | - | - | - | - | - | - | 0.0% | 16.0% | - | - | - | 31.3% | 68.0% | 65.9% | 64.6% | 50.0% | 48.2% | 70.4% | 85.0% | 77.2% | - | - | 57.5% | - | 8.0% | - | 59.0% | 70.0% | - | 65 | - | 5.1% | - | - | 51.7% |
| GPT-4.1 Nano OpenAI | 8.9% | 24.0% | 42.1% | 944elo | 32.4 | 1.0% | 51.2% | 3.8% | 32.0% | 32.6% | 65.7% | 25.9% | 60.8% | 3.8% | 17.3% | - | 23.7% | 10.7% | 1.53 | -0.17 | 3.3% | 0.0% | 42.5% | - | - | 0.39 | 1.46 | 0.0% | - | - | - | - | - | - | - | - | - | 10.8% | 84.8% | - | 52.8% | - | 0.44 | - | - | 1.64 | - | 39.8% | - | 68.0% | 68.0% | 30.9% |
2 / 2 models
| Attribute | DeepSeek V3.2 DeepSeek | GPT-4.1 Nano OpenAI |
|---|---|---|
| Description | DeepSeek V3.2 is an AI model from DeepSeek, released with open weights. | GPT-4.1 Nano is an AI model from OpenAI. |
| Family | Deepseek | GPT |
| Params | - | - |
| Open weights | open | closed |
| License | mit | proprietary |
| Released | 1 Dec 2025 | 14 Apr 2025 |
| Context | 163,840 | 1,047,576 |
| Input $/1M | $0.28 | $0.10 |
| Output $/1M | $0.42 | $0.40 |
| Cache read $/1M | $0.130 | $0.025 |
| Cache write $/1M | - | - |
| Speed | 0 tok/s | 0 tok/s |
| Latency | 0.00 s | 0.00 s |
| Modalities | text | image, text, file |
| Providers | - | - |
| Publisher | DeepSeek | OpenAI |
| Reported scores | Aider Polyglot Benchmark74.2% (Aider) MathArena57.47% GPQA Diamond75.1% (AA) Humanity's Last Exam (HLE)11.2% (AA) |
FAQ
- Is DeepSeek V3.2 or GPT-4.1 Nano better?
- Across the 15 benchmarks both models report on Sophon, DeepSeek V3.2 leads on 15 of them. Which one is "better" depends on the benchmark - the table above shows every shared score.
- How do DeepSeek V3.2 and GPT-4.1 Nano compare on GPQA Diamond?
- DeepSeek V3.2 scores 75.1% and GPT-4.1 Nano scores 51.2% on GPQA Diamond.
- Which is cheaper, DeepSeek V3.2 or GPT-4.1 Nano?
- GPT-4.1 Nano is cheaper at $0.40 per million output tokens against $0.42 for DeepSeek V3.2 - about 1.0x.
- When were DeepSeek V3.2 and GPT-4.1 Nano released?
- DeepSeek V3.2 was released 1 Dec 2025 by DeepSeek. GPT-4.1 Nano was released 14 Apr 2025 by OpenAI.
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