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DeepSeek-V3.2-Exp
About DeepSeek-V3.2-Exp
DeepSeek-V3.2-Exp is an AI model developed by DeepSeek, in the language category, released in 2025, made available as an open-weights model with 671B params.
On this page you'll find DeepSeek-V3.2-Exp's full specifications, including 14 benchmark results. Review provider pricing and benchmark scores below, or compare DeepSeek-V3.2-Exp head-to-head with other language models.
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Run DeepSeek-V3.2-Exp locally — what it takes
DeepSeek-V3.2-Exp (671B) is too large to run on a single consumer or Apple machine. At Q4 its weights alone are about 376 GB — it needs a multi-GPU / datacenter setup:
- ≈ 2× AMD Instinct MI325X
- ≈ 3× NVIDIA B200
Lower quantization (Q3/Q2) or CPU + system-RAM offload (e.g. ktransformers) reduces the requirement at the cost of speed.
Software support
✓ measured · · compatible · — not supported. Informational only — speed is hardware-based.
Community
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DeepSeek-V3.2-Exp benchmark scores▶
| Benchmark | Category | Score | Variant |
|---|---|---|---|
| BrowseComp | agentic | 40.1% | from-hf-readme |
| BrowseComp-Zh | agentic | 47.9 | from-hf-readme |
| Terminal-Bench 2.0 | agentic | 37.7% | from-hf-readme |
| Aider Polyglot | code | 74.5% | from-hf-readme |
| Codeforces Elo | code | 2,121 | from-hf-readme |
| LiveCodeBench | code | 74.1% | from-hf-readme |
| SWE-bench Verified | code | 67.8% | from-hf-readme |
| SWE-Bench Multilingual | coding | 57.9 | from-hf-readme |
| MMLU-Pro | general | 85% | from-hf-readme |
| AIME 2025 | math | 89.3% | from-hf-readme |
| HMMT February 2025 | math | 83.6% | from-hf-readme |
| GPQA Diamond | reasoning | 79.9% | from-hf-readme |
| Humanity's Last Exam | reasoning | 19.8% | from-hf-readme |
| SimpleQA | safety | 97.1% | from-hf-readme |
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Frequently asked questions
What is DeepSeek-V3.2-Exp? ▶
DeepSeek-V3.2-Exp is an AI model developed by DeepSeek, in the language category, released in 2025. It is tracked on GenAIList with its specifications, benchmark scores and provider pricing.
Who created DeepSeek-V3.2-Exp? ▶
DeepSeek-V3.2-Exp was developed by DeepSeek and released in 2025.
Is DeepSeek-V3.2-Exp open source or proprietary? ▶
DeepSeek-V3.2-Exp ships as an open-weights model: you can download and self-host the weights, though the licence may place some restrictions on use.
How much does DeepSeek-V3.2-Exp cost? ▶
Pricing for DeepSeek-V3.2-Exp depends on the provider. See the providers table on this page for the latest API rates.
How does DeepSeek-V3.2-Exp perform on benchmarks? ▶
DeepSeek-V3.2-Exp is benchmarked across 14 evaluations on GenAIList, including BrowseComp (40.1%). See the full benchmark table below and compare it with other models.
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