DeepSeek: DeepSeek V3.2
deepseek/deepseek-v3.2DeepSeek-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
Supported API shape
input
text
output
text
tools
Supported
json mode
Supported
Verification
signature
response ID
attestation
GPU TEE
provider
Phala
Provider
Phala
GPU TEE
input
$0.32/M
output
$0.48/M
context
164K
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