Grok 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.
Grok 4.5 vs Qwen3 VL 30B A3B Thinking
Compare Grok 4.5 from Grok and Qwen3 VL 30B A3B Thinking 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.
The Qwen3-VL series’ second-largest MoE model Thinking version offers fast response speed, stronger multimodal understanding and reasoning, visual agent capabilities, and ultra-long context support for long videos and long documents; it features comprehensive upgrades in image/video understanding, spatial perception, and universal recognition abilities, making it capable of handling complex real-world tasks.
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: Grok 4.5, Qwen3 VL 30B A3B Thinking?
Qwen3 VL 30B A3B Thinking: $1.03/M output tokens; Grok 4.5: $6.00/M. Use the cost calculator above to estimate your own workload.
How do their coding arena scores compare?
Grok 4.5: 1523; Qwen3 VL 30B A3B Thinking: 1466 (LMArena coding leaderboard).
Which responds faster?
Qwen3 VL 30B A3B Thinking: 0.4s 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?
Grok 4.5 accepts 500,000 and Qwen3 VL 30B A3B Thinking accepts 128,000 input tokens. Maximum output per request is 500,000 tokens on Grok 4.5 and 32,000 tokens on Qwen3 VL 30B A3B Thinking.
Which one generates tokens faster?
Qwen3 VL 30B A3B Thinking at 113.9 tok/s and Grok 4.5 at 32.4 tok/s, measured as output throughput on AIHubMix — a separate metric from time to first token.
What inputs and capabilities does each model support?
Grok 4.5 accepts text and image input and supports thinking, tool calling, function calling, structured outputs and long context; Qwen3 VL 30B A3B Thinking accepts text, image and video input and supports thinking, tool calling, function calling and structured outputs.
Can I call Grok 4.5 and Qwen3 VL 30B A3B Thinking 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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