Compare Grok 4.5 from Grok and Ling 3.0 Flash from InclusionAI on key metrics including benchmarks, price, context length, and other model features. Access both models and hundreds of others through the AIHubMix API.
Grok 4.5
Ling 3.0 FlashGrok 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.
ling-3.0-flash is Inclusionai's 124B Mixture-of-Experts (MoE) text model, designed for production-scale agentic inference and token-efficient text generation. Activating approximately 5.1B parameters per token, it offers an extensive 262,144-token context window alongside cost-effective pricing at $0.06 per 1M input, $0.18 per 1M output, and $0.01 per 1M cache tokens.
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.
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Estimate your monthly bill for the same workload on each model.
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Ling 3.0 Flash: $0.18/M output tokens; Grok 4.5: $6/M. Use the cost calculator above to estimate your own workload.
Grok 4.5 accepts 500,000 and Ling 3.0 Flash accepts 262,144 input tokens.
Grok 4.5 accepts text and image input and supports thinking, tool calling, function calling, structured outputs and long context; Ling 3.0 Flash accepts text input.
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