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Seed-2.0-Lite vs Yi-Lightning

How do these models stack up? Below is an expert side-by-side comparison of specifications, context window capacity, live pricing per million tokens, and standardized benchmark scores for Seed-2.0-Lite and Yi-Lightning.

ByteDance

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...

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01.AI

Yi-Lightning

Yi-Lightning is 01.AI's (零一万物) fastest and most cost-efficient model, purpose-built for high-throughput production workloads. It delivers competitive performance against GPT-4o-mini and Claude Haiku at a fraction of the cost, with exceptional bilingual Chinese-English capabilities. Yi-Lightning excels at classification, entity extraction, summarization, and high-frequency API tasks where latency and cost-per-call are critical constraints.

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Technical Specifications

SpecificationSeed-2.0-LiteYi-Lightning
ProviderByteDance01.AI
Context Window262,144 tokens131,072 tokens
Agent SuitabilityN/A82/100
Time to First Token (TTFT)N/A120 ms
Deployment Modelmanaged apimanaged api
Production Stabilitystablestable
API AvailableYesYes
Released Date2026-03-102025-10-01

API Pricing Comparison

Input Price per Million Tokens

Seed-2.0-Lite

$0.25

Yi-Lightning

$0.15

Output Price per Million Tokens

Seed-2.0-Lite

$2.00

Yi-Lightning

$0.30

Want to test both models live?

Run side-by-side prompt prompts in our dynamic Sandbox. Check execution speeds, latency metrics, and compute actual costs in real-time.

Benchmark Performance Metrics

Scores show the raw performance percentages verified across key evaluation suites. Higher bars indicate superior accuracy and capability in that domain.

Seed-2.0-Lite Quirks & Gotchas

No developer gotchas reported.

Yi-Lightning Quirks & Gotchas

  • Best cost-efficiency for high-volume bilingual applications
  • Self-hostable via Ollama — excellent open-weight option for Asian-language pipelines