Seed 1.8 / チャット
A brand-new model optimized specifically for multimodal agent scenarios. It features enhanced agent capabilities, upgraded multimodal comprehension, and more flexible context
Playground Chat
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Seed 1.8Elevated Foundation Intelligence
Seed 1.8 advances the foundation line with refined reasoning controls, logprobs evaluation, and full OpenAI-compatible tool calling for production agents.
Elevated Foundation Stack
The next step up for general product intelligence.
Refined Reasoning Controls
Four effort levels let you trade latency for depth on a per-request basis.
Evaluation Hooks
logprobs and top_logprobs for monitoring, scoring, and constrained decoding.
Agent Tool Surface
Parallel tool calling and stop sequences for multi-step agents.
Streaming Native
stream defaults to true for interactive paint-as-you-go UX.
How It Works
A production-ready path from brief to finished asset.
Frame the Decision
State what decision or artifact you need, not just a topic.
Dial Reasoning Depth
Use Medium for most knowledge work; High only when stakes or complexity justify it.
Compose Tools
Chain independent tool calls in parallel to cut wall-clock time.
Validate Outputs
Use logprobs or rubric prompts to quality-gate production traffic.
Next-Tier Product Domains
Where foundation quality compounds.
Enterprise Chat
Higher consistency across long conversations.
Research Assist
Medium/high effort for multi-document synthesis.
Code Partners
Tool-enabled coding assistance.
Workflow Agents
Parallel tools for operational automation.
Prompt & Usage Tips
Practical guidance for reliable first-pass results.
One short example of ideal output style dramatically improves format compliance.
Request confidence notes when facts may be incomplete so the model flags gaps.
System messages should state invariants, not essays. Long policies reduce instruction following.
Seed 1.8 Quickstart
Elevated foundation chat.
curl -X POST "https://api.powertokens.ai/v1/chat/completions" \
-H "Authorization: Bearer YOUR_API_KEY" \
-H "Content-Type: application/json" \
-d '{
"model": "seed-1-8-251228",
"messages": [
{"role": "user", "content": "Compare these three vendor proposals and recommend one."}
],
"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 | 238/ 1M Tokens | 1,900/ 1M Tokens | $0.238 | $1.900 | $0.050 50/ 1M Tokens | -- | -- |
| 128K - 256K | 475/ 1M Tokens | 3,800/ 1M Tokens | $0.475 | $3.800 | $0.050 50/ 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 Pro
seed-2-0-pro-260328
Focused on long-chain reasoning and stability in complex task execution, designed for complex real-world business 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.
Recommended Related Models
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GLM-5.3
glm-5.3
Zhipu AI's flagship text model optimized for complex software engineering and long-horizon Agent tasks. Features a 1M-token context window with mandatory reasoning (3 levels: low/high/max). Coding capability improved 50% over GLM-5.2 on Z.ai Code Bench; scores SOTA on Terminal Bench 3.0. Excels in cybersecurity tasks (cyber vulnerability discovery)
Qwen3.8 Flash
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Alibaba's cost-efficient multimodal reasoning model. Supports text, image, and video inputs with text output. Features a native 1M-token context window for long documents, codebases, and agentic workflows. Excels in coding assistance, desktop interaction, chart analysis, and long-video understanding. Compatible with OpenAI/Anthropic protocols for seamless integration
GLM-5.2
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Flagship text model purpose-built for long-horizon agentic workflows. Features a 1M context window supporting project-level engineering in a single session. Excels at autonomous coding: can complete development, testing, and multi-platform deployment from a single prompt. Top open-weight model per Artificial Analysis; #1 globally on Code Arena. MIT-licensed and Day-0 optimized for domestic AI chips
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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