Compare DeepSeek V4.1 Flash from DeepSeek 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.
DeepSeek V4.1 Flash
Kimi K3DeepSeek's latest model, DeepSeek V4.1 Flash, is in a mid-release internal beta and open for trial. It uses a new model architecture with native multimodal support, greater capability, faster speed, and lower cost. Because the model is still in internal testing, it will be rate-limited and is available only for testing—not recommended for production use.
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.
DeepSeek V4.1 Flash: $0.284/M output tokens; Kimi K3: $13.5/M. Use the cost calculator above to estimate your own workload.
Kimi K3: 0.9s time to first token measured on AIHubMix; see the live performance charts above for how each model behaves across the day.
DeepSeek V4.1 Flash accepts 1,000,000 and Kimi K3 accepts 1,048,576 input tokens. Maximum output per request is 384,000 tokens on DeepSeek V4.1 Flash and 1,048,576 tokens on Kimi K3.
DeepSeek V4.1 Flash at 180.6 tok/s and Kimi K3 at 73.1 tok/s, measured as output throughput on AIHubMix — a separate metric from time to first token.
DeepSeek V4.1 Flash accepts text and image input and supports tool calling, function calling, structured outputs and thinking; Kimi K3 accepts text, image and video input and supports thinking, function calling and structured outputs.
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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