Compare Grok 4.5 from Grok and Qwen3 235B A22B 2507 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 235B A22B 2507Grok 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.
qwen3-235b-a22b-2507 is Qwen's multilingual, instruction-tuned mixture-of-experts language model, designed for general-purpose text generation and instruction following. Built on the Qwen3-235B architecture, it utilizes 22B active parameters per forward pass and features an extensive context window of 262,144 tokens.
Prices are per million tokens. Time to First Token and throughput are rolling averages measured on AIHubMix.
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Qwen3 235B A22B 2507: $1.4/M output tokens; Grok 4.5: $6/M. Use the cost calculator above to estimate your own workload.
Grok 4.5 accepts 500,000 and Qwen3 235B A22B 2507 accepts 262,144 input tokens.
Grok 4.5 accepts text and image input and supports thinking, tool calling, function calling, structured outputs and long context; Qwen3 235B A22B 2507 accepts text input.
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