DeepSeek V3.2 Thinking
deepseek/deepseek-v3.2-thinkingA chat model with a 128K-token context window, at $0.651 per million input tokens and $1.9425 per million output tokens.
Details
- Maker
- deepseek
- Kind
- Chat
- Context window
- 128,000 tokens
- Max output
- 8,000 tokens
- Input
- $0.651 per million tokens
- Output
- $1.9425 per million tokens
- Capabilities
- Tool use
- Takes
- Text
- Returns
- Text
- Zero data retention
- Yes, on every provider
- No training on requests
- Yes, on every provider
- Released
- 2025-12-01
- Newer model
- deepseek/deepseek-v4.1-flash-1017Released later by the same maker, costs no more, and lists the same capabilities. Compare the two
Description
DeepSeek‑V3.2 from DeepSeek harmonizes high computational efficiency with superior reasoning and agent performance. It builds on three main techniques: DeepSeek Sparse Attention for long‑context efficiency, a scalable reinforcement learning framework, and a large‑scale agentic task synthesis pipeline. This model excels at long-context reasoning and agentic tasks, efficiently handling extended inputs while maintaining strong accuracy. Its sparse attention design enables it to process complex, multi-step workflows without excessive compute costs. Overall, DeepSeek‑V3.2 targets long‑context reasoning, tool‑using agents, and efficient deployment in production environments.
Call it
curl https://phantom.codes/v1/chat/completions \
-H "Authorization: Bearer $PHANTOM_KEY" \
-H "Content-Type: application/json" \
-d '{
"model": "deepseek/deepseek-v3.2-thinking",
"messages": [
{"role": "user", "content": "Hello"}
]
}'Set PHANTOM_KEY to your key. Any OpenAI client works with the base URL https://phantom.codes/v1.