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.
grok-4.5 vs ling-3.0-tiny-free
Context windows are 1,000,000 tokens on grok-4.5 and 262,144 tokens on ling-3.0-tiny-free.
ling-3.0-tiny-free
Ling 3.0 Tiny is a mixture-of-experts model from InclusionAI, featuring 1.3B active parameters out of a total of 7.9B. It is designed for responsive agents, instruction following, and multi-turn conversations, supporting an extensive context length of 262,144 tokens. This makes it an efficient and powerful choice for conversational AI applications.
Specs & Pricing
Prices are per million tokens. Latency and throughput are rolling averages measured on AIHubMix.
Promotional prices show the discounted rate; see each model page for promotion windows.
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Cost Calculator
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Monthly = daily × 30. Discounted rates applied where a promotion is active.
FAQ
How large is each context window?
grok-4.5 accepts 1,000,000 and ling-3.0-tiny-free accepts 262,144 input tokens.
What inputs and capabilities does each model support?
grok-4.5 accepts text and image input and supports thinking, tool calling, function calling, structured outputs and long context; ling-3.0-tiny-free accepts text input and supports reasoning, tool calling and long context.
Can I call grok-4.5 and ling-3.0-tiny-free 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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