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.
Kimi K3 vs Qwen3.6 Plus Preview (free)
Context lengths are 1,048,576 tokens on Kimi K3 and 1,000,000 tokens on Qwen3.6 Plus Preview (free). On the LMArena coding leaderboard Kimi K3 scores 1531 and Qwen3.6 Plus Preview (free) scores 1493.
This model has been removed from the platform.
Pricing & Specifications
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.
Activity Past 30 Days
Daily traffic served through AIHubMix — how demand for each model is trending.
Tokens / day
Requests / day
Performance Past 3 Days
Measured on real AIHubMix traffic, hourly buckets. Gaps mean no traffic in that hour.
Throughput (tok/s)
TTFT (s)
Uptime (%)
LMArena Benchmarks
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.
Cost calculator
Estimate your monthly bill for the same workload on each model.
Monthly = daily × 30. Discounted rates applied where a promotion is active.
FAQ
How do their coding arena scores compare?
Kimi K3: 1531; Qwen3.6 Plus Preview (free): 1493 (LMArena coding leaderboard).
How large is each context window?
Kimi K3 accepts 1,048,576 and Qwen3.6 Plus Preview (free) accepts 1,000,000 input tokens. Maximum output per request is 1,048,576 tokens on Kimi K3 and 65,535 tokens on Qwen3.6 Plus Preview (free).
What inputs and capabilities does each model support?
Kimi K3 accepts text, image and video input and supports thinking, function calling and structured outputs; Qwen3.6 Plus Preview (free) accepts text input and supports thinking and long context.
Can I call Kimi K3 and Qwen3.6 Plus Preview (free) with the same API key?
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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