Seed-2.0-Lite

by ByteDance Seedbytedance-seed/seed-2.0-lite

  • Text
  • No route yet
  • Released

LLMCompare cannot run Seed-2.0-Lite yet.No route to this model is configured on this site yet. Its prices and parameters are listed below for reference.

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Seed-2.0-Lite at a glance

Context length
262,144 tokens
Maximum output
131,072 tokens
Accepts
Text, Image, Video
Returns
Text
Features
ReasoningJSON outputTool callingImage input
Reasoning effort levels
highmediumlowminimalnoneReasoning can be turned off.
Released
10 Mar 2026
Knowledge cutoff
Not published

Model facts synced from the OpenRouter model list on 21 Oct 2026.

Seed-2.0-Lite pricing by route

A route is the service LLMCompare calls to reach the model. Seed-2.0-Lite has 1 route. Prices are in US dollars.

Prices of Seed-2.0-Lite on each route
RouteOn LLMCompareInputper 1M tokensOutputper 1M tokensPrice verified onSource
OpenRouterDefaultNot configured$0.25$2.00openrouter.ai/bytedance-seed/seed-2.0-lite

The cost shown in an LLMCompare report is calculated from these prices as they were at the time of the run.

Cost calculator

Estimate what a batch of calls to Seed-2.0-Lite costs. The starting numbers are examples. Change them to match your task.

Billed in addition to the output tokens.

Cost per call
$0.0013
2 credits
Cost of 100 calls
$0.125
200 credits

Calculated from the OpenRouter prices verified on 21 Oct 2026. Credits are the cost plus a 20% service fee, at $0.001 per credit, rounded up for each call, with a minimum of 1 per call. A real run is charged for the usage the provider reports.

Parameters you can set

These are the parameters LLMCompare can set when it calls the model through OpenRouter.

Parameters of Seed-2.0-Lite
ParameterTypeRange or optionsDefault
temperatureNumber0 to 2in steps of 0.1Provider default
top_pNumber0 to 1in steps of 0.05Provider default
max_tokensInteger1 to 131,072Provider default
reasoning_effortOne ofhighmediumlowminimalnonemedium
response_formatOne oftextjson_objectProvider default

About Seed-2.0-Lite

Seed-2.0-Lite is a versatile, cost‑efficient enterprise workhorse that delivers strong multimodal and agent capabilities while offering noticeably lower latency, making it a practical default choice for most production workloads across...

Description as published for this model. LLMCompare has not edited it.

Models to compare with Seed-2.0-Lite

Text models from the same provider and models at the nearest price. The order is not a ranking.

Models to compare with Seed-2.0-Lite
Add to comparisonModelContextMax outputInput priceper 1M tokensOutput priceper 1M tokensFeaturesReleasedOn LLMCompare
Seed 2.1 TurboByteDance Seedbytedance-seed/seed-2-1-turbo262k236k$0.50$2.50JSONToolsVisionNo route yet
Seed-2.0-MiniByteDance Seedbytedance-seed/seed-2.0-mini262k131k$0.10$0.40ReasoningJSONToolsVisionNo route yet
Qwen3.6 27BQwenqwen/qwen3.6-27b262k65.5k$0.25$2.00JSONToolsCacheVisionNo route yet
GPT-5.1-Codex-MiniOpenAIopenai/gpt-5.1-codex-mini400k128k$0.25$2.00ReasoningJSONToolsCacheVisionNo route yet
GPT-5 MiniOpenAIopenai/gpt-5-mini400k128k$0.25$2.00ReasoningJSONToolsCacheVisionNo route yet
Qwen3.6 PlusQwenqwen/qwen3.6-plus1M65.5k$0.325$1.95JSONToolsVisionNo route yet

Questions about Seed-2.0-Lite

How much does Seed-2.0-Lite cost?
On the OpenRouter route, Seed-2.0-Lite costs $0.25 per 1 million input tokens and $2.00 per 1 million output tokens, in US dollars. LLMCompare verified this price on 21 Oct 2026.
What is the context length of Seed-2.0-Lite?
Seed-2.0-Lite has a context length of 262,144 tokens and returns up to 131,072 output tokens in one call.
What inputs does Seed-2.0-Lite accept?
Seed-2.0-Lite accepts these inputs: Text, Image, Video. Seed-2.0-Lite returns: Text.
Which reasoning effort levels does Seed-2.0-Lite support?
Seed-2.0-Lite supports these reasoning effort levels: high, medium, low, minimal, none. Reasoning can be turned off for Seed-2.0-Lite.
Can I test Seed-2.0-Lite on my own data?
Not yet. LLMCompare lists the prices and parameters of Seed-2.0-Lite, but no route to Seed-2.0-Lite is configured on LLMCompare, so it cannot be selected for an evaluation.