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 Coder Next
Output tokens cost $15.00 per million on Kimi K3 and $0.55 per million on Qwen3 Coder Next. Input tokens cost $3.00 per million on Kimi K3 and $0.14 per million on Qwen3 Coder Next. Cached input tokens are billed at $0.30 per million on Kimi K3 and $0.14 per million on Qwen3 Coder Next. Context lengths are 1,048,576 tokens on Kimi K3 and 2,000,000 tokens on Qwen3 Coder Next. Time to first token (TTFT) measured on AIHubMix is 0.9s on Kimi K3 and 0.5s on Qwen3 Coder Next. Measured output throughput is 73.1 tok/s on Kimi K3 and 15.7 tok/s on Qwen3 Coder Next.
The Qwen3 series is a next-generation code-generation model with results close to Qwen3-Coder-Plus while offering superior performance. The model is optimized for repository-level understanding, supports multi-turn tool interactions, and improves compatibility with agentic coding tools.
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 (%)
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 Coder Next?
Qwen3 Coder Next: $0.55/M output tokens; Kimi K3: $15.00/M. Use the cost calculator above to estimate your own workload.
Which responds faster?
Qwen3 Coder Next: 0.5s 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 Coder Next accepts 2,000,000 input tokens. Maximum output per request is 1,048,576 tokens on Kimi K3 and 64,000 tokens on Qwen3 Coder Next.
Which one generates tokens faster?
Kimi K3 at 73.1 tok/s and Qwen3 Coder Next at 15.7 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 Coder Next accepts text input and supports tool calling, function calling and structured outputs.
Can I call Kimi K3 and Qwen3 Coder Next 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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