Seed 1.8 / Chat
A brand-new model optimized specifically for multimodal agent scenarios. It features enhanced agent capabilities, upgraded multimodal comprehension, and more flexible context
Playground Chat
Start a conversation with the AI model. You can ask anything.
AI-generated responses may vary in accuracy.
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.
At a Glance
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.
Pricing Details
The actual billing for this model is dynamically calculated based on the specific parameters passed in your API request. Below are the specific combinations and their corresponding pricing:
| Modality | Input Credits | Output Credits | Input Price | Output Price | Implicit Cache Hit | Explicit Cache Hit | Cache Creation |
|---|---|---|---|---|---|---|---|
| 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-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.
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Frequently Asked Questions
Everything you need to know before integrating this model.
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