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Gemini 3.7 Flash vs Mercury 2.5 Preview

Compare Gemini 3.7 Flash 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.

GoogleGemini 3.7 FlashInceptionMercury 2.5 Preview
Google logo
Gemini 3.7 Flash
Google · text, image, video, audio, pdf → text

Gemini 3.7 Flash is Google’s natively multimodal reasoning model for coding, agents, web development, and knowledge work. It supports a 1M-token context window and adjustable thinking levels. Compared with Gemini 3.6 Flash, it improves coding, tool use, multi-step planning, and instruction following.

Input$0.75 /M
Output$3.75 /M
Cache read$0.075 /M
80% off
Inception logo
Mercury 2.5 Preview
Inception · text → text

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.

Input$0.2$0.04 /M
Output$0.75$0.15 /M
Cache read$0.02$0.004 /M

Pricing & Specifications

Prices are per million tokens. Time to First Token and throughput are rolling averages measured on AIHubMix.

Gemini 3.7 Flash
Mercury 2.5 Preview
Input /M
$0.75
$0.2$0.04−80%
Output /M
$3.75
$0.75$0.15−80%
Cache read /M
$0.075
$0.02$0.004−80%
Context length
1,048,576
260,000
Max output
65,536
65,536
Time to First Token
16.7 s
3.7 s
Throughput
82.8 tok/s
110.1 tok/s
Modalities
textimagevideoaudiopdf
text
Supported Parameters
thinkingtoolsfunction callingstructured outputsweblong context
thinkingtools
API Formats
chat_completions · gemini_api · claude_api
Released
August 13, 2026
September 2, 2026

Promotional prices show the discounted rate; see each model page for promotion windows.

Activity Past 30 Days

Daily traffic served through AIHubMix — how demand for each model is trending.

gemini-3.7-flashmercury-2.5-preview

Tokens / day

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Requests / day

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Performance Past 3 Days

Measured on real AIHubMix traffic, hourly buckets. Gaps mean no traffic in that hour.

gemini-3.7-flashmercury-2.5-preview

Throughput (tok/s)

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TTFT (s)

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Uptime (%)

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Cost calculator

Estimate your monthly bill for the same workload on each model.

Mercury 2.5 Preview
$23$4.65 /mo
Gemini 3.7 Flash
$101 /mo

Monthly = daily × 30. Discounted rates applied where a promotion is active.

FAQ

Which is cheaper: Gemini 3.7 Flash, Mercury 2.5 Preview?

Mercury 2.5 Preview: $0.15/M output tokens; Gemini 3.7 Flash: $3.75/M. Use the cost calculator above to estimate your own workload.

Which responds faster?

Mercury 2.5 Preview: 3.7s time to first token measured on AIHubMix; see the live performance charts above for how each model behaves across the day.

How large is each context window?

Gemini 3.7 Flash accepts 1,048,576 and Mercury 2.5 Preview accepts 260,000 input tokens. Maximum output per request is 65,536 tokens on Gemini 3.7 Flash and 65,536 tokens on Mercury 2.5 Preview.

Which one generates tokens faster?

Mercury 2.5 Preview at 110.1 tok/s and Gemini 3.7 Flash at 82.8 tok/s, measured as output throughput on AIHubMix — a separate metric from time to first token.

What inputs and capabilities does each model support?

Gemini 3.7 Flash 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.

Can I call Gemini 3.7 Flash and Mercury 2.5 Preview with the same API key?

Yes. AIHubMix serves every model on this page behind one OpenAI-compatible endpoint, so switching between them is a one-line change to the model field — no second account, key or SDK.

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