Gemini 3.1 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 3.1 Flash and Yi-Lightning.
Gemini 3.1 Flash
Gemini 3.1 Flash is Google's high-speed, cost-efficient multimodal model in the 3.1 generation, purpose-built for high-volume content synthesis, classification, and intelligent routing at scale. Featuring a 1-million-token context window, it can process large batches of documents, customer data, or multimedia content in a single inference pass, dramatically reducing pipeline complexity. At just $0.25/MTok for input, it is one of the most affordable routes to Google-caliber multimodal AI, making it an ideal backbone for production pipelines, data enrichment workflows, and high-frequency API integrations.
Yi-Lightning
Yi-Lightning is 01.AI's (ιΆδΈδΈη©) 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.
Technical Specifications
| Specification | Gemini 3.1 Flash | Yi-Lightning |
|---|---|---|
| Provider | 01.AI | |
| Context Window | 1,000,000 tokens | 131,072 tokens |
| Agent Suitability | 86/100 | 82/100 |
| Time to First Token (TTFT) | 150 ms | 120 ms |
| Deployment Model | managed api | managed api |
| Production Stability | stable | stable |
| API Available | Yes | Yes |
| Released Date | 2026-04-20 | 2025-10-01 |
API Pricing Comparison
Input Price per Million Tokens
Gemini 3.1 Flash
$0.25
Yi-Lightning
$0.15
Output Price per Million Tokens
Gemini 3.1 Flash
$1.50
Yi-Lightning
$0.30
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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.
Gemini 3.1 Flash Quirks & Gotchas
- βΈMost cost-effective Google model β ideal for high-volume pipelines
- βΈContext caching available via Vertex AI for repeated document processing
Yi-Lightning Quirks & Gotchas
- βΈBest cost-efficiency for high-volume bilingual applications
- βΈSelf-hostable via Ollama β excellent open-weight option for Asian-language pipelines