Output tokens cost $6.00 per million on Grok 4.5 and $5.07 per million on Qwen3.7 Max. Input tokens cost $2.00 per million on Grok 4.5 and $1.69 per million on Qwen3.7 Max. Cached input tokens are billed at $0.50 per million on Grok 4.5 and $0.17 per million on Qwen3.7 Max. Context lengths are 500,000 tokens on Grok 4.5 and 991,000 tokens on Qwen3.7 Max. Time to first token (TTFT) measured on AIHubMix is 1.7s on Grok 4.5 and 2.4s on Qwen3.7 Max. Measured output throughput is 25.3 tok/s on Grok 4.5 and 48.1 tok/s on Qwen3.7 Max.
Grok 4.5
Qwen3.7 MaxGrok 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 Max model, the largest and most capable in the Qwen3.7 series, is currently offering its pure-text model capabilities for trial. Qwen3.7 is a new-generation flagship model designed for the agent era; its core strengths lie in the breadth and depth of its agent capabilities: it performs excellently in programming, office and productivity tasks, and long-term autonomous execution.
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.
Qwen3.7 Max: $5.07/M output tokens; Grok 4.5: $6.00/M. Use the cost calculator above to estimate your own workload.
Grok 4.5: 1.7s 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 Qwen3.7 Max accepts 991,000 input tokens. Maximum output per request is 500,000 tokens on Grok 4.5 and 64,000 tokens on Qwen3.7 Max.
Qwen3.7 Max at 48.1 tok/s and Grok 4.5 at 25.3 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; Qwen3.7 Max accepts text input and supports tool calling, function calling, structured outputs, web search, long context and thinking.
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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