Gemini 3.1 Pro Preview 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 Pro Preview and Yi-Lightning.
Gemini 3.1 Pro Preview
Gemini 3.1 Pro Preview is Google’s frontier reasoning model, delivering enhanced software engineering performance, improved agentic reliability, and more efficient token usage across complex workflows. Building on the multimodal foundation...
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.
Technical Specifications
| Specification | Gemini 3.1 Pro Preview | Yi-Lightning |
|---|---|---|
| Provider | 01.AI | |
| Context Window | 1,048,576 tokens | 131,072 tokens |
| Agent Suitability | N/A | 82/100 |
| Time to First Token (TTFT) | N/A | 120 ms |
| Deployment Model | managed api | managed api |
| Production Stability | beta | stable |
| API Available | Yes | Yes |
| Released Date | 2026-02-19 | 2025-10-01 |
API Pricing Comparison
Input Price per Million Tokens
Gemini 3.1 Pro Preview
$2.00
Yi-Lightning
$0.15
Output Price per Million Tokens
Gemini 3.1 Pro Preview
$12.00
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.
Gemini 3.1 Pro Preview 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