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Gemini 3.5 Flash 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 Gemini 3.5 Flash and Yi-Lightning.

Google

Gemini 3.5 Flash

Gemini 3.5 Flash is Google's high-efficiency multimodal model, bringing near-Pro level coding and reasoning at Flash-tier cost and speed. It is highly optimized for coding proficiency and parallel agentic execution...

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01.AI

Yi-Lightning

Yi-Lightning is 01.AI's (離一万物) 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

SpecificationGemini 3.5 FlashYi-Lightning
ProviderGoogle01.AI
Context Window1,048,576 tokens131,072 tokens
Agent Suitability88/10082/100
Time to First Token (TTFT)200 ms120 ms
Deployment Modelmanaged apimanaged api
Production Stabilitystablestable
API AvailableYesYes
Released Date2026-05-192025-10-01

API Pricing Comparison

Input Price per Million Tokens

Gemini 3.5 Flash

$1.50

Yi-Lightning

$0.15

Output Price per Million Tokens

Gemini 3.5 Flash

$9.00

Yi-Lightning

$0.30

Want to test both models live?

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Benchmark Performance Metrics

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

MMLUGeneral knowledge & multi-task understanding
9050.0%vsN/A
Gemini 3.5 Flash
Yi-Lightning
HumanEvalPython coding & logic synthesis
9210.0%vsN/A
Gemini 3.5 Flash
Yi-Lightning
MATHComplex mathematical problem solving
8500.0%vsN/A
Gemini 3.5 Flash
Yi-Lightning
GPQAGraduate-level expert reasoning
6820.0%vsN/A
Gemini 3.5 Flash
Yi-Lightning
HellaSwagCommonsense reasoning and inference
9780.0%vsN/A
Gemini 3.5 Flash
Yi-Lightning
MT-BenchMulti-turn conversation flow quality
920.0%vsN/A
Gemini 3.5 Flash
Yi-Lightning

Gemini 3.5 Flash Quirks & Gotchas

  • β–ΈExcellent multimodal performance β€” native video understanding
  • β–ΈTool calling via Google's native function_declarations in Vertex AI

Yi-Lightning Quirks & Gotchas

  • β–ΈBest cost-efficiency for high-volume bilingual applications
  • β–ΈSelf-hostable via Ollama β€” excellent open-weight option for Asian-language pipelines