Compare Grok 4.5 from Grok and Qwen3.6 35B A3B 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.
Grok 4.5
Qwen3.6 35B A3BGrok 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.
Qwen 3.6, the native vision-language Plus series model, demonstrates outstanding performance comparable to the current top cutting-edge models, with a significant improvement over the 3.5 series. The model's capabilities have been markedly enhanced in Agentic coding, front-end programming, Vibe coding and other coding abilities, universal multimodal recognition, OCR, object localization, and more.
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.
Qwen3.6 35B A3B: $1.52/M output tokens; Grok 4.5: $6.00/M. Use the cost calculator above to estimate your own workload.
Qwen3.6 35B A3B: 0.7s time to first token measured on AIHubMix; see the live performance charts above for how each model behaves across the day.
Grok 4.5 accepts 500,000 and Qwen3.6 35B A3B accepts 254,000 input tokens. Maximum output per request is 500,000 tokens on Grok 4.5 and 64,000 tokens on Qwen3.6 35B A3B.
Qwen3.6 35B A3B at 104.7 tok/s and Grok 4.5 at 25.7 tok/s, measured as output throughput on AIHubMix — a separate metric from time to first token.
Grok 4.5 accepts text and image input and supports thinking, tool calling, function calling, structured outputs and long context; Qwen3.6 35B A3B accepts text, image and video input and supports tool calling, function calling, structured outputs, web search, long context and thinking.
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