Output tokens cost $6.00 per million on Grok 4.5 and $1.80 per million on Qwen3 Max. Input tokens cost $2.00 per million on Grok 4.5 and $0.45 per million on Qwen3 Max. Cached input tokens are billed at $0.50 per million on Grok 4.5 and $0.09 per million on Qwen3 Max. Context lengths are 500,000 tokens on Grok 4.5 and 262,144 tokens on Qwen3 Max. Time to first token (TTFT) measured on AIHubMix is 1.7s on Grok 4.5 and 1.3s on Qwen3 Max. Measured output throughput is 25.3 tok/s on Grok 4.5 and 46.0 tok/s on Qwen3 Max. On the LMArena coding leaderboard Grok 4.5 scores 1523 and Qwen3 Max scores 1475.
Grok 4.5
Qwen3 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 Tongyi Qianwen 3 series Max model has undergone special upgrades in intelligent agent programming and tool invocation compared to the preview version. The officially released model this time reaches SOTA level in the field and is adapted to more complex intelligent agent scenarios.
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 Max: $1.80/M output tokens; Grok 4.5: $6.00/M. Use the cost calculator above to estimate your own workload.
Grok 4.5: 1523; Qwen3 Max: 1475 (LMArena coding leaderboard).
Qwen3 Max: 1.3s 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 Max accepts 262,144 input tokens. Maximum output per request is 500,000 tokens on Grok 4.5 and 65,536 tokens on Qwen3 Max.
Qwen3 Max at 46.0 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 Max accepts text and image input and supports tool calling, function calling and structured outputs.
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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