Compare Doubao Seed 1.6 Flash from ByteDance 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.
Doubao Seed 1.6 Flash
Kimi K3Doubao-Seed-1.6-flash is an extremely fast multimodal deep thinking model, with TPOT requiring only 10ms. It supports both text and visual understanding, with its text comprehension skills surpassing the previous generation lite model and its visual understanding on par with competitor's pro series models. It supports a 256k context window and an output length of up to 16k tokens.
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.
Doubao Seed 1.6 Flash: $0.44/M output tokens; Kimi K3: $13.5/M. Use the cost calculator above to estimate your own workload.
Doubao Seed 1.6 Flash: 0.5s time to first token measured on AIHubMix; see the live performance charts above for how each model behaves across the day.
Doubao Seed 1.6 Flash accepts 256,000 and Kimi K3 accepts 1,048,576 input tokens. Maximum output per request is 33,000 tokens on Doubao Seed 1.6 Flash and 1,048,576 tokens on Kimi K3.
Doubao Seed 1.6 Flash at 152.3 tok/s and Kimi K3 at 73.1 tok/s, measured as output throughput on AIHubMix — a separate metric from time to first token.
Doubao Seed 1.6 Flash accepts text, image and video input and supports function calling and structured outputs; Kimi K3 accepts text, image and video input and supports thinking, function calling and structured outputs.
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