Seed 2.0 Pro / チャット
Focused on long-chain reasoning and stability in complex task execution, designed for complex real-world business scenarios.
Playground Chat
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Seed 2.0 ProProduction Chat with Deep Thinking
Seed 2.0 Pro combines configurable deep thinking with adjustable reasoning depth, token probability signals, stop sequences, and parallel tool calling.
Reasoning-Aware Chat Architecture
Tune depth of thought per request without changing models.
Configurable Thinking Depth
Toggle deep thinking on or off and dial reasoning depth from Minimal to High based on task complexity and latency budget.
Production Tool Stack
Parallel tool calling, stop sequences, and logprobs for evaluation and agent confidence scoring.
Stop Sequences & Bounds
Constrain generation with stop sequences so outputs fit parsers, UIs, and downstream automations cleanly.
Enterprise Sampling Controls
Temperature, top-p, and frequency/presence penalties give product teams fine-grained tone and diversity control.
How It Works
A production-ready path from brief to finished asset.
Pick Reasoning Depth
Minimal for speed, Medium for everyday analysis, High for multi-step proofs.
Stream or Wait
Stream for interactive UIs; single-shot for batch evaluation harnesses.
Call Tools in Parallel
Declare tools and allow parallel calls when independent lookups can fan out.
Score with Logprobs
Use logprobs and top-logprobs for confidence scoring and quality gates.
Enterprise Chat Domains
Where configurable reasoning improves quality.
Complex Analysis
High reasoning depth for multi-step analysis tasks.
Agent Workflows
Parallel tools with calibrated confidence via logprobs.
Customer Support
Minimal effort for fast, factual support replies.
Code Assistance
Medium/high effort for refactoring and debugging.
Prompt & Usage Tips
Practical guidance for reliable first-pass results.
Specify the artifact you want (JSON schema, ranked list, proof steps).
Do not burn High effort on classification. Minimal effort is enough for many ops tasks.
Describe tool side effects clearly so parallel calls stay safe and predictable.
Reasoning Quickstart
Enable thinking and set effort for complex tasks.
curl -X POST "https://api.powertokens.ai/v1/chat/completions" \
-H "Authorization: Bearer YOUR_API_KEY" \
-H "Content-Type: application/json" \
-d '{
"model": "seed-2-0-pro-260328",
"messages": [
{"role": "user", "content": "Prove that the sum of two even numbers is always even."}
],
"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 - 128K | 475/ 1M Tokens | 2,850/ 1M Tokens | $0.475 | $2.850 | $0.100 100/ 1M Tokens | -- | -- |
| 128K - 256K | 950/ 1M Tokens | 5,700/ 1M Tokens | $0.950 | $5.700 | $0.200 200/ 1M Tokens | -- | -- |
Models from the Same Channel
Explore complementary models and alternative versions from the same provider channel.
DeepSeek V3.2
deepseek-v3-2-251201
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.
Seed 2.0 Lite
seed-2-0-lite-260228
Balances generation quality and response speed, making it a strong general-purpose production model.
Seed 2.0 Mini
seed-2-0-mini-260215
Built for low-latency, high-concurrency, cost-sensitive use cases, with flexible deployment, four-tier thinking, and multimodal understanding.
Seed 1.8
seed-1-8-251228
A brand-new model optimized specifically for multimodal agent scenarios. It features enhanced agent capabilities, upgraded multimodal comprehension, and more flexible context
Recommended Related Models
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Qwen3.8 Flash
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Qwen3 Max
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Compared with the September 23, 2025 version, the newly upgraded Qwen-3 Max seamlessly integrates thinking and non-thinking modes, bringing an all-round obvious performance boost. Its thinking mode supports web search, web content extraction and code interpreter. It can conduct in-depth logical reasoning and call external tools to solve intricate problems more precisely
Frequently Asked Questions
Everything you need to know before integrating this model.
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