Compare Gemini 3.7 Flash from Google and Qwen3.8 Flash from Qwen on key metrics including benchmarks, price, context length, and other model features. Access both models and hundreds of others through the AIHubMix API.
Gemini 3.7 Flash
Qwen3.8 FlashGemini 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.
Qwen3.8 Flash is Alibaba Cloud Qwen’s flagship native vision-language model for coding, office tasks, long-context reasoning, and agent workflows. It supports a 1M-token context, 128K output, web access, and tool calling. Compared with Qwen3.7-Plus, Qwen3.8-Flash significantly reduces training and inference costs—the training overhead is only about one-ninth of the former—while offering stronger capabilities on coding and office tasks.
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.
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.
Estimate your monthly bill for the same workload on each model.
Monthly = daily × 30. Discounted rates applied where a promotion is active.
Qwen3.8 Flash: $0.38/M output tokens; Gemini 3.7 Flash: $3.75/M. Use the cost calculator above to estimate your own workload.
Gemini 3.7 Flash: 1522; Qwen3.8 Flash: 1494 (LMArena coding leaderboard).
Qwen3.8 Flash: 14.6s time to first token measured on AIHubMix; see the live performance charts above for how each model behaves across the day.
Gemini 3.7 Flash accepts 1,048,576 and Qwen3.8 Flash accepts 1,000,000 input tokens. Maximum output per request is 65,536 tokens on Gemini 3.7 Flash and 131,072 tokens on Qwen3.8 Flash.
Gemini 3.7 Flash at 79.4 tok/s and Qwen3.8 Flash at 41.2 tok/s, measured as output throughput on AIHubMix — a separate metric from time to first token.
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; Qwen3.8 Flash accepts text, image and video input and supports tool calling, function calling, structured outputs, web search, long context and thinking.
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