Compare Gemini 3.5 Flash Lite from Google and Mercury 2.5 Preview from Inception on key metrics including benchmarks, price, context length, and other model features. Access both models and hundreds of others through the AIHubMix API.
Gemini 3.5 Flash Lite
Mercury 2.5 PreviewGemini 3.5 Flash-Lite is a low-latency, cost-effective multimodal model optimized for high-throughput, low-cost execution for subagent tasks and document parsing. The model supports text, image, video, audio, and PDF inputs, and is designed for high-volume agentic workflows, simple data extraction, and applications where latency and API cost are the primary constraints.
Mercury 2.5 is the latest diffusion-based large language model (dLLM) released by Inception. It is the fastest inference LLM; unlike the sequential token-by-token generation approach, Mercury 2.5 can generate and optimize multiple tokens in parallel, achieving a generation speed of 1,107 tokens per second on standard GPUs. Compared to Mercury 2, its intelligence has increased by more than 10 percentage points, and its quality rivals leading cost-optimized frontier models such as GPT-5.6 Luna (Low), Gemini 3.5 Flash-Lite, and Claude Haiku 4.5.
Prices are per million tokens. Time to First Token and throughput are rolling averages measured on AIHubMix.
Promotional prices show the discounted rate; see each model page for promotion windows.
Daily traffic served through AIHubMix — how demand for each model is trending.
Measured on real AIHubMix traffic, hourly buckets. Gaps mean no traffic in that hour.
Estimate your monthly bill for the same workload on each model.
Monthly = daily × 30. Discounted rates applied where a promotion is active.
Mercury 2.5 Preview: $0.15/M output tokens; Gemini 3.5 Flash Lite: $2.5/M. Use the cost calculator above to estimate your own workload.
Gemini 3.5 Flash Lite: 1.2s time to first token measured on AIHubMix; see the live performance charts above for how each model behaves across the day.
Gemini 3.5 Flash Lite accepts 1,048,576 and Mercury 2.5 Preview accepts 260,000 input tokens. Maximum output per request is 65,536 tokens on Gemini 3.5 Flash Lite and 65,536 tokens on Mercury 2.5 Preview.
Gemini 3.5 Flash Lite at 165.7 tok/s and Mercury 2.5 Preview at 110.1 tok/s, measured as output throughput on AIHubMix — a separate metric from time to first token.
Gemini 3.5 Flash Lite accepts text, image, video, audio and PDF input and supports thinking, tool calling, function calling, structured outputs, web search and long context; Mercury 2.5 Preview accepts text input and supports thinking and tool calling.
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