Compare Deepinfra Gemma 4 26B A4B It from Google and Kimi K3 from Moonshot AI 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 It
Kimi K3A 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.
Kimi K3 is Kimi’s flagship model for long-horizon coding and end-to-end knowledge work, with a 1M-token context window and industry-leading intelligence.
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; Kimi K3: $13.5/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 Kimi K3 accepts 1,048,576 input tokens. Maximum output per request is 131,100 tokens on Deepinfra Gemma 4 26B A4B It and 1,048,576 tokens on Kimi K3.
Kimi K3 at 73.1 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.
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