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.
Gemini 3.7 Flash vs GPT 5.6 Sol
Compare Gemini 3.7 Flash from Google and GPT 5.6 Sol from OpenAI on key metrics including benchmarks, price, context length, and other model features. Access both models and hundreds of others through the AIHubMix API.
GPT‑5.6 Sol sets a new standard for both intelligence and efficiency, achieving state-of-the-art results across coding, knowledge work, cybersecurity, and science while outperforming previous and competing frontier models with fewer tokens and at lower estimated cost.
Pricing & Specifications
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.
Activity Past 30 Days
Daily traffic served through AIHubMix — how demand for each model is trending.
Tokens / day
Requests / day
Performance Past 3 Days
Measured on real AIHubMix traffic, hourly buckets. Gaps mean no traffic in that hour.
Throughput (tok/s)
TTFT (s)
Uptime (%)
LMArena Benchmarks
LMArena ratings by capability (Bradley-Terry, commonly called Elo). Higher is better.
Source: LMArena (arena.ai) leaderboard, imported by AIHubMix. Models without published ratings are omitted per chart.
Cost calculator
Estimate your monthly bill for the same workload on each model.
Monthly = daily × 30. Discounted rates applied where a promotion is active.
FAQ
Which is cheaper: Gemini 3.7 Flash, GPT 5.6 Sol?
Gemini 3.7 Flash: $3.75/M output tokens; GPT 5.6 Sol: $20/M. Use the cost calculator above to estimate your own workload.
How do their coding arena scores compare?
GPT 5.6 Sol: 1529; Gemini 3.7 Flash: 1522 (LMArena coding leaderboard).
Which responds faster?
GPT 5.6 Sol: 5.3s 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 GPT 5.6 Sol accepts 1,050,000 input tokens. Maximum output per request is 65,536 tokens on Gemini 3.7 Flash and 128,000 tokens on GPT 5.6 Sol.
Which one generates tokens faster?
Gemini 3.7 Flash at 79.2 tok/s and GPT 5.6 Sol at 49.7 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; GPT 5.6 Sol accepts text and image input and supports tool calling, thinking and structured outputs.
Can I call Gemini 3.7 Flash and GPT 5.6 Sol 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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