Doubao Seed Evolving is an AIHub route name for an evolving hosted Seed capability on Volcano Engine. Because an independent public specification is not assumed, metadata stays limited to its general adaptive language-workflow placement.
Key strengths
- Managed Seed access
- General language tasks
- Iterative workflow fit
- Chinese-first scenarios
Use cases
- Adaptive assistants
- Content workflows
- Knowledge operations
- Language task experiments
ByteDance's bytedance/doubao-seed-evolving is a frontier text generation model in the Doubao family. It excels at complex reasoning, agentic workflows, code generation, and long-form writing tasks, with native support for streaming, tool calling, JSON mode, and multi-turn conversations.
The model handles long-context inputs gracefully and is particularly effective for software engineering, multi-step research, and end-to-end project execution. Its tokenizer and pricing are optimized for high-throughput production workloads, with a competitive cost profile relative to other models in its tier.
bytedance/doubao-seed-evolving is fully OpenAI-compatible — drop in your existing OpenAI Python or Node SDK and switch `baseURL` to `https://api.tokenlx.ai`. TokenLX transparently routes your requests to the optimal provider endpoint while preserving streaming, function-calling, and structured-output semantics.
Performance
Compare different providers across TokenLX · All locations.
Effective Pricing
Actual cost per million tokens across providers over the past 7 days.
Recent activity
Total usage per day on TokenLX (last 30 days).
Sample code & API
TokenLX normalizes requests and responses across providers. Use any OpenAI SDK or our native SDK.
from openai import OpenAI
client = OpenAI(
base_url="https://api.tokenlx.ai/v1",
api_key="sk-aihub-...",
)
# Non-streaming
response = client.chat.completions.create(
model="doubao-seed-evolving",
messages=[
{"role": "system", "content": "You are a helpful assistant."},
{"role": "user", "content": "Hello!"},
],
)
print(response.choices[0].message.content)
# Streaming
stream = client.chat.completions.create(
model="doubao-seed-evolving",
messages=[{"role": "user", "content": "Tell me a story"}],
stream=True,
)
for chunk in stream:
print(chunk.choices[0].delta.content or "", end="", flush=True)Replace sk-aihubrouter-… with your key from the dashboard.
API Endpoints
Sends a request for a model response for the given chat conversation. Supports both streaming and non-streaming modes.
Creates a streaming or non-streaming response using the OpenAI Responses API format.
Creates a message using the Anthropic Messages API format. Supports text, images, tools, and extended thinking.