Models
ReadyGPU TEE

DeepSeek: DeepSeek V3.2

Model IDdeepseek/deepseek-v3.2

DeepSeek-V3.2 is a large language model designed to harmonize high computational efficiency with strong reasoning and agentic tool-use performance. It introduces DeepSeek Sparse Attention (DSA), a fine-grained sparse attention mechanism that reduces training and inference cost while preserving quality in long-context scenarios. A scalable reinforcement learning post-training framework further improves reasoning, with reported performance in the GPT-5 class, and the model has demonstrated gold-medal results on the 2025 IMO and IOI. V3.2 also uses a large-scale agentic task synthesis pipeline to better integrate reasoning into tool-use settings, boosting compliance and generalization in interactive environments.

input

$0.32/M

output

$0.48/M

context

164K

created

Dec 3, 2025

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text

output

text

tools

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json mode

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GPU TEE

provider

1 routes

Providers

chutes

GPU TEE

input

$0.32/M

output

$0.48/M

context

164K