Compare Grok 4.5 from Grok and Laguna Xs 2.1 from Poolside 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
Laguna Xs 2.1Grok 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.
laguna-xs-2.1 is Poolside's coding agent model, designed for coding and text generation tasks. It features a 262,144-token context window with cost-effective pricing across input, output, and prompt caching. Compared with Laguna XS.2, it represents Poolside's latest step forward in the 33B-A3B category.
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.
Estimate your monthly bill for the same workload on each model.
Monthly = daily × 30. Discounted rates applied where a promotion is active.
Laguna Xs 2.1: $0.2/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 Laguna Xs 2.1 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; Laguna Xs 2.1 accepts text input.
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