Compare DeepSeek V4.1 Flash 1017 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 1017
Kimi K3The official latest version of DeepSeek V4.1 Flash has been upgraded to DeepSeek-V4.1-Flash-1017. API usage and pricing remain unchanged—you can still access the latest model using deepseek-flash.
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.
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.
DeepSeek V4.1 Flash 1017: $0.31/M output tokens; Kimi K3: $14.2/M. Use the cost calculator above to estimate your own workload.
Kimi K3: 0.7s 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 1017 accepts 1,000,000 and Kimi K3 accepts 1,048,576 input tokens. Maximum output per request is 393,216 tokens on DeepSeek V4.1 Flash 1017 and 1,048,576 tokens on Kimi K3.
DeepSeek V4.1 Flash 1017 at 131.0 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 1017 accepts text and image input; 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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