Output tokens cost $0.24 per million on Qwen/Qwen2.5-VL-32B-Instruct and $15.00 per million on Kimi K3. Input tokens cost $0.24 per million on Qwen/Qwen2.5-VL-32B-Instruct and $3.00 per million on Kimi K3. Cached input tokens are billed at $0.24 per million on Qwen/Qwen2.5-VL-32B-Instruct and $0.30 per million on Kimi K3.
Qwen/Qwen2.5-VL-32B-Instruct
Kimi K3Qwen2.5-VL-32B-Instruct is an advanced multimodal model from the Tongyi Qianwen team that can recognize objects, analyze text and graphics in images, operate tools, locate objects in images, and generate structured outputs. Through reinforcement learning, it has improved mathematics and problem-solving capabilities, with a more concise and natural response style.
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.
Qwen/Qwen2.5-VL-32B-Instruct: $0.24/M output tokens; Kimi K3: $15.00/M. Use the cost calculator above to estimate your own workload.
Qwen/Qwen2.5-VL-32B-Instruct accepts text, image and video input and supports 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.
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