Compare Deepinfra Gemma 4 26B A4B It from Google and Gemini 2.5 Flash from Google on key metrics including benchmarks, price, context length, and other model features. Access both models and hundreds of others through the AIHubMix API.
Deepinfra Gemma 4 26B A4B ItGemini 2.5 FlashA Mixture-of-Experts model that activates only 4B parameters per inference,delivering high-performance reasoning with a fraction of the memory cost - idealfor cost-efficient, high-throughput server deployments.
Gemini 2.5 Flash is Google’s best model in terms of both performance and cost efficiency, offering a comprehensive set of capabilities. It is the first Flash model to support visible reasoning, allowing insight into the thought process behind its responses. With its strong price–performance ratio, the model is well suited for large-scale processing, low-latency, high-throughput tasks that require reasoning, as well as agent-based application scenarios.
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.
Deepinfra Gemma 4 26B A4B It: $0.385/M output tokens; Gemini 2.5 Flash: $2.499/M. Use the cost calculator above to estimate your own workload.
Deepinfra Gemma 4 26B A4B It: 0.4s time to first token measured on AIHubMix; see the live performance charts above for how each model behaves across the day.
Deepinfra Gemma 4 26B A4B It accepts 262,100 and Gemini 2.5 Flash accepts 1,048,576 input tokens. Maximum output per request is 131,100 tokens on Deepinfra Gemma 4 26B A4B It and 65,536 tokens on Gemini 2.5 Flash.
Gemini 2.5 Flash at 110.8 tok/s and Deepinfra Gemma 4 26B A4B It at 42.6 tok/s, measured as output throughput on AIHubMix — a separate metric from time to first token.
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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