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
Compare Kimi K3 from Moonshot AI and Qwen3.6 Plus from Qwen on key metrics including benchmarks, price, context length, and other model features. Access both models and hundreds of others through the AIHubMix API.
Qwen 3.6, the native vision-language Plus series model, demonstrates outstanding performance comparable to the current top cutting-edge models, with a significant improvement over the 3.5 series. The model's capabilities have been markedly enhanced in Agentic coding, front-end programming, Vibe coding and other coding abilities, universal multimodal recognition, OCR, object localization, and more.
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
Which is cheaper: Kimi K3, Qwen3.6 Plus?
Qwen3.6 Plus: $1.69/M output tokens; Kimi K3: $15.00/M. Use the cost calculator above to estimate your own workload.
How do their coding arena scores compare?
Kimi K3: 1531; Qwen3.6 Plus: 1495 (LMArena coding leaderboard).
Which responds faster?
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.
How large is each context window?
Kimi K3 accepts 1,048,576 and Qwen3.6 Plus accepts 991,000 input tokens. Maximum output per request is 1,048,576 tokens on Kimi K3 and 64,000 tokens on Qwen3.6 Plus.
Which one generates tokens faster?
Kimi K3 at 73.1 tok/s and Qwen3.6 Plus at 43.0 tok/s, measured as output throughput on AIHubMix — a separate metric from time to first token.
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 accepts text, image and video input and supports tool calling, function calling, structured outputs, web search, long context and thinking.
Can I call Kimi K3 and Qwen3.6 Plus 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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