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 inclusionAI/Ling-1T
Output tokens cost $6.00 per million on Grok 4.5 and $2.19 per million on inclusionAI/Ling-1T. Input tokens cost $2.00 per million on Grok 4.5 and $0.55 per million on inclusionAI/Ling-1T. Cached input tokens are billed at $0.50 per million on Grok 4.5 and $0.55 per million on inclusionAI/Ling-1T.
inclusionAI/Ling-1TLing-1T is the first flagship non-thinking model in the “Ling 2.0” series, featuring 1 trillion total parameters and approximately 50 billion active parameters per token. Built on the Ling 2.0 architecture, Ling-1T is designed to push the limits of efficient inference and scalable cognition. Ling-1T-base was pretrained on over 20 trillion high-quality, reasoning-intensive tokens, supports up to a 128K context length, and incorporates an Evolutionary Chain of Thought (Evo-CoT) process during mid-stage and post-stage training. This training regimen greatly enhances the model’s efficiency and depth of reasoning, enabling Ling-1T to achieve top performance across multiple complex reasoning benchmarks, balancing accuracy and efficiency.
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.
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Performance Past 3 Days
Measured on real AIHubMix traffic, hourly buckets. Gaps mean no traffic in that hour.
Throughput (tok/s)
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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: Grok 4.5, inclusionAI/Ling-1T?
inclusionAI/Ling-1T: $2.19/M output tokens; Grok 4.5: $6.00/M. Use the cost calculator above to estimate your own workload.
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; inclusionAI/Ling-1T accepts text input and supports tool calling, function calling and structured outputs.
Can I call Grok 4.5 and inclusionAI/Ling-1T 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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