DeepSeek

DeepSeek V3.2legacyOpen

Sparse-attention DeepSeek release that set the 2025 open-model bar.

#605released Sep 28, 2025·Open Weights·671B (37B active MoE)
text163.8K ctx
API providersGet API Key →Leaderboard
Intelligence
12.9 #605
Top 82% tier
Output Speed
60 t/s
ITL 16.7 ms/tok
Blended price (3:1)
$0.478 /1M
In $0.27/M · Out $1.1/M
Context
163.8K
≈ 410 A4 pages · max out 8,192

Quality Domain Radar

6-Axis Frontier Evaluation vs Category Average & Flagship

DeepSeek V3.2
Claude Mythos Preview (#1)
Average (68)
Coding (35.5)Mathematics (15)Hard Science (GPQA) (15)Agentic & Tool Use (20)Knowledge (MMLU) (15)Vision / Multimodal (25)

Radar axes are approximated from category scores where direct benchmark measurements are missing — see Methodology.

API deployment

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Model Details

Release date
Sep 28, 2025
Parameters
671B (37B active MoE)
License
Open Weights
Context Window
163,800 tokens
Input Price
$0.27/M
Output Price
$1.1/M
Output Speed
60 t/s
Time to First Token
—

Estimated monthly bill

Estimated monthly spend
$0.00
Calculating savings vs GPT-4o...

Cite & embed

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BibTeX
@misc{llmpodium2026deepseekv32,
  title = {Benchmark Analysis and Intelligence Evaluation of DeepSeek V3.2},
  author = {LLMPodium Research},
  year = {2026},
  url = {https://llmpodium.com/models/deepseek-v3-2}
}

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