Compare Doubao Seed 2.1 Turbo 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 2.1 Turbo
Kimi K3Balancing performance and cost, comprehensively upgrading coding, agent, and multimodal capabilities, with stronger autonomous planning, long-horizon execution, and dynamic recovery abilities to handle real, complex enterprise tasks.
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 2.1 Turbo: $2.32/M output tokens; Kimi K3: $15.00/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.
Doubao Seed 2.1 Turbo accepts 256,000 and Kimi K3 accepts 1,048,576 input tokens. Maximum output per request is 256,000 tokens on Doubao Seed 2.1 Turbo and 1,048,576 tokens on Kimi K3.
Kimi K3 at 73.1 tok/s and Doubao Seed 2.1 Turbo at 36.5 tok/s, measured as output throughput on AIHubMix — a separate metric from time to first token.
Doubao Seed 2.1 Turbo accepts text, image and video input and supports thinking, web search, tool calling, function calling and structured outputs; 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.
Related model match-ups readers also look at.
AIHubMix