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Nano Banana 2 Lite (Gemini 3.1 Flash Lite Image) 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 Nano Banana 2 Lite (Gemini 3.1 Flash Lite Image) and Yi-Lightning.

Google

Nano Banana 2 Lite (Gemini 3.1 Flash Lite Image)

Nano Banana 2 Lite (Gemini 3.1 Flash Lite Image) is Google's fastest, most cost-efficient Gemini image model, built for high-velocity developer pipelines and rapid-fire visual exploration. It delivers text-to-image generation...

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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

SpecificationNano Banana 2 Lite (Gemini 3.1 Flash Lite Image)Yi-Lightning
ProviderGoogle01.AI
Context Window65,536 tokens131,072 tokens
Agent SuitabilityN/A82/100
Time to First Token (TTFT)N/A120 ms
Deployment Modelmanaged apimanaged api
Production Stabilitystablestable
API AvailableYesYes
Released Date2026-06-302025-10-01

API Pricing Comparison

Input Price per Million Tokens

Nano Banana 2 Lite (Gemini 3.1 Flash Lite Image)

$0.25

Yi-Lightning

$0.15

Output Price per Million Tokens

Nano Banana 2 Lite (Gemini 3.1 Flash Lite Image)

$1.50

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.

Nano Banana 2 Lite (Gemini 3.1 Flash Lite Image) Quirks & Gotchas

No developer gotchas reported.

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