
Seed 2.0 Mini / 채팅
Built for low-latency, high-concurrency, cost-sensitive use cases, with flexible deployment, four-tier thinking, and multimodal understanding.
Press Enter to add, Backspace to remove
Playground Chat
AI 모델과 대화를 시작하세요. 무엇이든 질문할 수 있습니다.
AI가 생성한 응답의 정확성은 다를 수 있습니다.
Seed 2.0 Pro MiniCompact Reasoning for Scale
Seed 2.0 Mini packs Seed 2.0-series reasoning controls into a lighter footprint — thinking, effort levels, logprobs, and tools at high concurrency.

At a Glance
Pro Controls, Smaller Footprint
Keep reasoning knobs while cutting cost and latency.

Same Reasoning Knobs
Deep thinking and reasoning depth (Minimal to High) match the Seed 2.0 Pro surface.

Cost-Efficient Scale
Lighter footprint for high-QPS chat, classification, and extraction workloads.

Tool Calling Ready
Parallel tool calling for agent loops without a heavyweight model tax.

Logprob Evaluation
logprobs and top_logprobs for confidence scoring at scale.
How It Works
A production-ready path from brief to finished asset.
Classify or Route
Use Minimal effort for labeling, routing, and extraction at high QPS.
Attach Light Tools
Run simple agent loops without paying Pro-level reasoning cost.
Stream for UX
Keep streaming on for user-facing surfaces that need perceived speed.
Escalate Hard Cases
Promote complex turns to Seed 2.0 Pro with higher reasoning depth.
Efficient Scale Domains
Where volume economics matter.
High-Volume Chat
Concurrent support bots with light thinking.
Classification Pipelines
Minimal effort for fast structured labels.
Lightweight Agents
Tool loops without Pro-level cost.
Batch Extraction
High-QPS field extraction jobs.
Prompt & Usage Tips
Practical guidance for reliable first-pass results.
Classification, routing, and field extraction rarely need deep thinking.
One instruction, one output schema. Mini is optimized for crisp jobs.
High-QPS batch jobs benefit from stable, short system prompts.
Mini Quickstart
Efficient Seed 2.0 reasoning.
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-mini-260215",
"messages": [
{"role": "user", "content": "Classify this support ticket into billing, bug, or other."}
],
"stream": true,
"temperature": 0.7
}'Technical Specifications
Confirmed parameters and runtime execution protocols.
가격 상세
이 모델의 실제 요금은 API 요청에서 전달된 특정 매개변수를 기반으로 동적으로 계산됩니다. 아래는 구체적인 조합과 해당 가격입니다:
| 모달리티 | 입력 크레딧 | 출력 크레딧 | 입력 가격 | 출력 가격 | 암시적 캐시 적중 | 명시적 캐시 적중 | 캐시 생성 |
|---|---|---|---|---|---|---|---|
| 0 - 128K | 95/ 1M Tokens | 380/ 1M Tokens | $0.095 | $0.380 | $0.020 20/ 1M Tokens | -- | -- |
| 128K - 256K | 190/ 1M Tokens | 760/ 1M Tokens | $0.190 | $0.760 | $0.040 40/ 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 Lite
seed-2-0-lite-260228
Balances generation quality and response speed, making it a strong general-purpose production model.
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 Mini Today
Create an account in seconds to receive free test credits. No upfront payment or long-term contract required.