DeepSeek V3.2 / チャット
The official version of DeepSeek-V3.2 balances reasoning capability and output length, making it suitable for daily use—such as question-answering scenarios and general Agent task scenarios.
Playground Chat
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DeepSeek V3.2Deep Reasoning with OpenAI Protocol
DeepSeek V3.2 delivers configurable deep thinking, adjustable reasoning depth, token probability signals, and parallel tool calling through a drop-in OpenAI-compatible chat API.
Reasoning & Tool Architecture
Enterprise-ready chat with deep thinking controls.
Minimal → High Effort Ladder
Dial reasoning depth per request — Minimal for speed, High for multi-step proofs and analysis.
Confidence via Logprobs
Inspect token probabilities and run parallel tools for agent evaluation pipelines.
Streaming for Long Analyses
Stream reasoning and final tokens so complex analyses feel progressive instead of blocking on a single long wait.
Sampling for Tone Control
Temperature and top-p (plus penalties) let teams match brand voice without rewriting system prompts every time.
How It Works
A production-ready path from brief to finished asset.
Enable Thinking
Keep thinking on for analytical tasks; disable for pure extraction or rewrite jobs.
Set Effort
Minimal for speed, High for multi-document synthesis or formal proofs.
Stream Reasoning Tokens
Surface intermediate tokens when you want visible progress in the UI.
Evaluate with Logprobs
Collect probability signals for offline scoring and regression tests.
Deep Reasoning Domains
Where analytical depth wins.
Technical Analysis
High effort for multi-hop technical reasoning.
Agent Tool Loops
Parallel tools with logprob-based confidence.
Document QA
Structured answers from long documents.
Code Review
Medium/high effort for defect finding.
Prompt & Usage Tips
Practical guidance for reliable first-pass results.
When you need reasoning, request intermediate steps explicitly so effort is spent usefully.
Put documents/context first, then the instruction. Models follow that order more reliably.
High depth is for hard problems. Everyday Q&A is faster at Minimal or Low.
DeepSeek Quickstart
Stream reasoning responses with tool support.
curl -X POST "https://api.powertokens.ai/v1/chat/completions" \
-H "Authorization: Bearer YOUR_API_KEY" \
-H "Content-Type: application/json" \
-d '{
"model": "deepseek-v3-2-251201",
"messages": [
{"role": "user", "content": "Walk through the proof of the intermediate value theorem."}
],
"stream": true,
"temperature": 0.7
}'Technical Specifications
Confirmed parameters and runtime execution protocols.
料金詳細
このモデルの実際の課金は、API リクエストで渡される特定のパラメータに基づいて動的に計算されます。以下は具体的な組み合わせとそれに対応する料金です：
| モダリティ | 入力クレジット | 出力クレジット | 入力価格 | 出力価格 | 暗黙的キャッシュヒット | 明示的キャッシュヒット | キャッシュ作成 |
|---|---|---|---|---|---|---|---|
| 0 - 32K | 280/ 1M Tokens | 420/ 1M Tokens | $0.280 | $0.420 | $0.056 56/ 1M Tokens | -- | -- |
| 32K - 128K | 560/ 1M Tokens | 840/ 1M Tokens | $0.560 | $0.840 | $0.056 56/ 1M Tokens | -- | -- |
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A brand-new model optimized specifically for multimodal agent scenarios. It features enhanced agent capabilities, upgraded multimodal comprehension, and more flexible context
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Frequently Asked Questions
Everything you need to know before integrating this model.
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