Compare Grok 4.5 from Grok and Qwen3 235B A22B Instruct 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 Instruct 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-Instruct-2507
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 235B A22B Instruct 2507: $1.12/M output tokens; Grok 4.5: $6.00/M. Use the cost calculator above to estimate your own workload.
Grok 4.5: 1523; Qwen3 235B A22B Instruct 2507: 1473 (LMArena coding leaderboard).
Qwen3 235B A22B Instruct 2507: 1.0s 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 235B A22B Instruct 2507 accepts 262,144 input tokens. Maximum output per request is 500,000 tokens on Grok 4.5 and 262,144 tokens on Qwen3 235B A22B Instruct 2507.
Qwen3 235B A22B Instruct 2507 at 96.5 tok/s and Grok 4.5 at 28.9 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 235B A22B Instruct 2507 accepts text and image input and supports tool calling, function calling and structured outputs.
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