Output tokens cost $6.00 per million on Grok 4.5 and $7.20 per million on Qwen2.5 VL 72B Instruct. Input tokens cost $2.00 per million on Grok 4.5 and $2.40 per million on Qwen2.5 VL 72B Instruct. Cached input tokens are billed at $0.50 per million on Grok 4.5 and $2.40 per million on Qwen2.5 VL 72B Instruct.
Grok 4.5
Qwen2.5 VL 72B InstructGrok 4.5 was trained on datasets spanning knowledge in coding, science, engineering, and math. With both intelligent and efficient reasoning, Grok 4.5 excels at real engineering tasks and exceeds comparable leading models at these tasks.
Strong capability in Chinese domain recognition, comparable to ChatGPT-4.0.
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.
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.
Estimate your monthly bill for the same workload on each model.
Monthly = daily × 30. Discounted rates applied where a promotion is active.
Grok 4.5: $6.00/M output tokens; Qwen2.5 VL 72B Instruct: $7.20/M. Use the cost calculator above to estimate your own workload.
Grok 4.5 accepts text and image input and supports thinking, tool calling, function calling, structured outputs and long context; Qwen2.5 VL 72B Instruct accepts text and image input.
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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