Output tokens cost $6.00 per million on Grok 4.5 and $0.21 per million on Qwen3 VL Flash. Input tokens cost $2.00 per million on Grok 4.5 and $0.02 per million on Qwen3 VL Flash. Cached input tokens are billed at $0.50 per million on Grok 4.5 and $0.00 per million on Qwen3 VL Flash. Context lengths are 500,000 tokens on Grok 4.5 and 254,000 tokens on Qwen3 VL Flash. On the LMArena coding leaderboard Grok 4.5 scores 1523 and Qwen3 VL Flash scores 1466.
Grok 4.5
Qwen3 VL FlashGrok 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.
The Qwen3 series of compact visual-understanding models achieves an effective fusion of thinking mode and non-thinking mode, outperforming the open-source Qwen3-VL-30B-A3B with faster response speeds. It comprehensively upgrades image and video understanding, supporting ultra-long contexts such as long videos and long documents, spatial awareness, and universal object recognition; it also possesses visual 2D/3D localization capabilities and is capable of handling complex real-world tasks.
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.
Qwen3 VL Flash: $0.21/M output tokens; Grok 4.5: $6.00/M. Use the cost calculator above to estimate your own workload.
Grok 4.5: 1523; Qwen3 VL Flash: 1466 (LMArena coding leaderboard).
Grok 4.5 accepts 500,000 and Qwen3 VL Flash accepts 254,000 input tokens. Maximum output per request is 500,000 tokens on Grok 4.5 and 32,000 tokens on Qwen3 VL Flash.
Grok 4.5 accepts text and image input and supports thinking, tool calling, function calling, structured outputs and long context; Qwen3 VL Flash accepts text, image and video input and supports tool calling, 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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