gemini-3.1-flash-lite-preview vs kimi-k2.6
Pricing, Performance & Features Comparison
Gemini 2.0 Flash-Lite is Google's most cost-efficient Gemini 2.0 model, optimized for cost efficiency and low latency. It is a multimodal model supporting inputs including text, code, images, audio, and video, with text-only output. It features a maximum input capacity of 1,048,576 tokens and is cost-optimized for large-scale text output use cases.
Input$0.25
Output$1.5
Latency (p50)2s
Output Limit8K
Function Calling
JSON Mode
InputText, Image, Audio, Video
OutputText
in$0.25out$1.5cache$0.025–
Latency (24h)
Success Rate (24h)
Context Length262K
Reasoning
Providers1
ReleasedApr 2026
Knowledge CutoffApr 2025
LicenseMIT License
Mixture-of-Experts model with 1T total parameters and 32B activated per token. Features MLA attention, MoonViT vision encoder, and agent swarm orchestration.
Input$0.95
Output$4
Latency (p50)4s
Output Limit66K
Function Calling
JSON Mode
InputText, Image, Video
OutputText
in$0.95out$4cache$0.16write$0.95