AIHubMix Smart Router: Fill in the model name as auto, and the gateway will automatically select the optimal model based on the request content; The auto without a suffix uses the default strategy cost_optimized. You can explicitly specify the focus using auto:<strategy>, such as auto (= auto:cost_optimized) cost priority: choose the cheapest as long as the capability meets the standard; auto:balanced balanced: considers capability / cost / latency auto:quality_first quality priority: prioritize selecting the strongest capability for complex reasoning and critical outputs auto:latency_critical low latency priority: prioritize selecting the fastest response
Auto vs Grok 4.5
Output tokens cost $2.00 per million on Auto and $6.00 per million on Grok 4.5. Input tokens cost $2.00 per million on Auto and $2.00 per million on Grok 4.5. Cached input tokens are billed at $2.00 per million on Auto and $0.50 per million on Grok 4.5. Context lengths are 1,000,000 tokens on Auto and 500,000 tokens on Grok 4.5.
Grok 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.
Pricing & Specifications
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.
Activity Past 30 Days
Daily traffic served through AIHubMix — how demand for each model is trending.
Tokens / day
Requests / day
Performance Past 3 Days
Measured on real AIHubMix traffic, hourly buckets. Gaps mean no traffic in that hour.
Throughput (tok/s)
TTFT (s)
Uptime (%)
Cost calculator
Estimate your monthly bill for the same workload on each model.
Monthly = daily × 30. Discounted rates applied where a promotion is active.
FAQ
Which is cheaper: Auto, Grok 4.5?
Auto: $2.00/M output tokens; Grok 4.5: $6.00/M. Use the cost calculator above to estimate your own workload.
How large is each context window?
Auto accepts 1,000,000 and Grok 4.5 accepts 500,000 input tokens.
What inputs and capabilities does each model support?
Auto accepts text, audio, image and video input and supports thinking, web search, deep search, tool calling, function calling, structured outputs and long context; Grok 4.5 accepts text and image input and supports thinking, tool calling, function calling, structured outputs and long context.
Can I call Auto and Grok 4.5 with the same API key?
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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