Seed 2.0 Lite / チャット
Balances generation quality and response speed, making it a strong general-purpose production model.
Playground Chat
AIモデルとの会話を開始します。何でも質問できます。
AI生成結果の正確性は異なる場合があります。
Seed 2.0 LiteLightweight Chat with Full Controls
Seed 2.0 Lite is the everyday-efficient tier — thinking toggles, effort levels, streaming, and OpenAI-compatible tools in a lightweight package.
At a Glance
Everyday Lightweight Intelligence
Full control surface at the lightest Seed 2.0 tier.
Full Control Surface
Same thinking, effort, sampling, and tool parameters as heavier Seed 2.0 tiers.
Lightweight Footprint
Optimized for cost-sensitive everyday chat and automation.
Streaming Native
stream defaults to true for responsive UIs.
OpenAI Compatible
Drop-in chat completions protocol for existing clients.
How It Works
A production-ready path from brief to finished asset.
Connect via OpenAI Schema
Reuse existing chat clients with a model identifier swap.
Pick a Lightweight Task
FAQ answers, rewrites, and simple automation are ideal.
Optional Light Thinking
Enable thinking only when the task needs a little reasoning.
Watch Cost per Turn
Lite is designed for volume — keep prompts and outputs short.
Everyday Application Domains
Lightweight but capable.
FAQ Bots
Cost-efficient answers over knowledge bases.
Text Cleanup
Rewrite, summarize, and polish copy.
Simple Agents
Light tool loops for automation.
Internal Tools
Assistants inside internal admin UIs.
Prompt & Usage Tips
Practical guidance for reliable first-pass results.
Avoid stacking multiple unrelated asks in a single turn.
Set max output tokens so Lite stays cheap on long chatty tasks.
If quality plateaus, move the turn to Mini or Pro rather than over-prompting Lite.
Lite Quickstart
Lightweight everyday 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-2-0-lite-260228",
"messages": [
{"role": "user", "content": "Rewrite this paragraph to be clearer and shorter."}
],
"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 | $0.100 100/ 1M Tokens | -- | -- |
Models from the Same Channel
Explore complementary models and alternative versions from the same provider channel.
DeepSeek-V4.1-Flash
deepseek-v4-1-flash-260910
Lightweight flagship of DeepSeek's new Causal Encoder-Decoder family. 552B-parameter MoE with asymmetric activation—8B for input, 16B for output—delivering flagship-level intelligence at significantly lower inference cost . Native multimodal vision understanding. 1M-token context window with 384K max output. KV cache compressed to 1/4 HBM and 1/8 SSD of previous generation . Outperforms V4-Pro on Terminal-Bench 2.1 (90.6), DeepSWE v1.1 (74.2), and CyberGym (88.1)
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 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
Explore complementary video and multimodal models with your unified API key.
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)
MiniMax-M3.1-Flash
MiniMax-M3.1-Flash
Next-gen efficiency-focused multimodal model (428B MoE) for agentic workflows, coding, and computer use . Features a 1M-token context window and tunable thinking depth (low–max) . Scores 73.7% on DeepSWE v1.1, 61.7 on OSWorld V2, and 82% on CyberGym, while delivering 200+ TPS output speed at 70% lower agent-task cost than its predecessor
GLM-5.3 Flash
glm-5.3-flash
Z.ai's native multimodal model (320B-A18B) with text, image, video, and file input. Features hybrid sparse + linear attention, reducing attention compute 3x and KV cache 4.4x vs. GLM-5.3. Scores 57 on Artificial Analysis Intelligence Index—matching Claude Opus 4.8—with 1M context and 128K max output. Excels in agentic coding, vision-based Computer Use, and CAD reproduction
Qwen3.8 Flash
qwen3.8-flash
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
Frequently Asked Questions
Everything you need to know before integrating this model.
Start Building with Seed 2.0 Lite Today
Create an account in seconds to receive free test credits. No upfront payment or long-term contract required.