Compare Gemini 3.8 Flash from Google and Grok 4.5 from Grok on key metrics including benchmarks, price, context length, and other model features. Access both models and hundreds of others through the AIHubMix API.
Gemini 3.8 Flash
Grok 4.5Gemini 3.8 Flash is Google's most intelligent Flash-series model, designed for long-running software engineering tasks, autonomous agents, and complex enterprise workflows, while retaining the Flash series' fast responsiveness and cost-effectiveness.
Grok 4.5 was trained on datasets spanning knowledge in coding, science, engineering, and math. With both intelligent and efficient reasoning, Grok 4.5 excels at real engineering tasks and exceeds comparable leading models at these 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.
Estimate your monthly bill for the same workload on each model.
Monthly = daily × 30. Discounted rates applied where a promotion is active.
Gemini 3.8 Flash: $3.75/M output tokens; Grok 4.5: $6/M. Use the cost calculator above to estimate your own workload.
Gemini 3.8 Flash: 2.1s time to first token measured on AIHubMix; see the live performance charts above for how each model behaves across the day.
Gemini 3.8 Flash accepts 1,048,576 and Grok 4.5 accepts 500,000 input tokens. Maximum output per request is 65,536 tokens on Gemini 3.8 Flash and 500,000 tokens on Grok 4.5.
Gemini 3.8 Flash at 243.1 tok/s and Grok 4.5 at 27.1 tok/s, measured as output throughput on AIHubMix — a separate metric from time to first token.
Gemini 3.8 Flash accepts text, image, audio and video input and supports thinking, tool calling, function calling, structured outputs, web search and long context; Grok 4.5 accepts text and image input and supports thinking, tool calling, function calling, structured outputs and long context.
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