What is Seed-2.0-Mini API?
Seed-2.0-Mini is available through AIMLAPI.
Technical Specifications
- Supported inputs: Image, Text
- Output: Text
- Context window: 262,144 tokens / Max output: 131,072 tokens
- Endpoint: /chat/completions
Performance Benchmarks
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Seed-2.0-Mini API Pricing
- Input: $0.13 / 1M tokens
- Output: $0.52 / 1M tokens
Where to Use Seed-2.0-Mini
Coding and code review
Generate, debug, and review code across languages, reading whole files or repos in a single prompt.
Agentic and multi-step workflows
Reliable tool-calling and instruction-following suit agent loops that plan, call tools, and iterate.
Complex reasoning
Extended reasoning improves reliability on multi-step math, logic, and technical analysis.
Long-document analysis
Summarize and extract from contracts, papers, and reports without aggressive chunking.
Code Sample
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Measured on the AI/ML API gateway across live traffic. Figures are medians unless stated. Last updated 2026-10-12.
Seed-2.0-Mini is documented as suited to high-concurrency, batch generation scenarios. It is also described as a fit for latency-sensitive and cost-sensitive applications, where fast response and flexible deployment matter.
It is documented for batch content processing tasks such as text classification, sentiment analysis, and keyword extraction. It is also suited to content moderation and compliance detection workflows, including image auditing and video inspection.
The model is further described as useful for high-volume customer-service workloads, including real-time customer service, automated FAQ responses, and intelligent routing. It is also documented for document processing and data analysis workflows, including information extraction and report-style tasks.
import requests r = requests.post( "https://api.aimlapi.com/v1/chat/completions", headers={"Authorization": "Bearer " + AIMLAPI_KEY}, json={ "model": "bytedance-seed/seed-2.0-mini", "messages": [ { "role": "user", "content": "Hello!" } ] }, ) print(r.json())
const r = await fetch("https://api.aimlapi.com/v1/chat/completions", { method: "POST", headers: { Authorization: `Bearer ${process.env.AIMLAPI_KEY}`, "Content-Type": "application/json", }, body: JSON.stringify({ "model": "bytedance-seed/seed-2.0-mini", "messages": [ { "role": "user", "content": "Hello!" } ] }), }); console.log(await r.json());
curl -X POST https://api.aimlapi.com/v1/chat/completions \ -H "Authorization: Bearer $AIMLAPI_KEY" \ -H "Content-Type: application/json" \ -d '{"model":"bytedance-seed/seed-2.0-mini","messages":[{"role":"user","content":"Hello!"}]}'
OpenAI-compatible — swap the base URL and it works with your existing SDK.
| Type | Price |
|---|---|
| Input | |
| Output | |
| Benchmark | Score | What it measures | Source | Retrieved |
|---|---|---|---|---|
| AIME 2025 | 87.0 | Competition mathematics (AIME), 2025 | Source | September 21, 2026 |
| SWE-bench Verified | 67.9 | Resolving verified real GitHub issues | Source | September 21, 2026 |
| GPQA Diamond | 79.0 | Google-proof graduate science questions (hardest subset) | Source | September 21, 2026 |
| MMLU-Pro | 83.6 | Multi-discipline knowledge + reasoning (harder MMLU) | Source | September 21, 2026 |
| LiveCodeBench | 64.1 | Contamination-free competitive programming problems | Source | September 21, 2026 |
| Model | Input | Output | Context | Best for |
|---|---|---|---|---|
Seed-2.0-Mini This page | Reasoning + agents | |||
| Reasoning + agents | ||||
| Balanced coding + agents | ||||
| Long-context, multimodal & agentic workflows | ||||
| Reasoning + agents |
Seed-2.0-Mini has a 262,144 tokens context window and can return up to 131,072 tokens.
Seed-2.0-Mini takes image, text as input and returns text.
Use bytedance-seed/seed-2.0-mini as the model id. Requests go to https://api.aimlapi.com/v1/chat/completions.
Seed-2.0-Mini is priced at input $0.13754 / 1M tokens, output $0.55016 / 1M tokens.
Yes, Seed-2.0-Mini can stream responses as they are generated.
Yes, Seed-2.0-Mini accepts image input alongside text.
Seed-2.0-Mini was built by ByteDance.
Yes, it supports function calling, tool use, and parallel tool calls.
