Compare GLM 5.2 from Z.AI and Laguna S 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.
GLM 5.2
Laguna S 2.1GLM-5.2 is Z.ai’s flagship model for the era of long-horizon tasks. With a truly usable 1M-token context window, it can handle project-level engineering context, execute long-running tasks more reliably, follow engineering standards more consistently, and complete the full development workflow from requirements to multi-platform deployment in a single task.
laguna-s-2.1 is Poolside's coding agent model, designed for programming and developer agent workflows. It offers a massive 1,048,576-token context window, a 118B total parameter architecture with 8B active parameters, and cost-effective text processing with prompt caching.
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 S 2.1: $0.2/M output tokens; GLM 5.2: $3.9438/M. Use the cost calculator above to estimate your own workload.
GLM 5.2 accepts 1,000,000 and Laguna S 2.1 accepts 1,048,576 input tokens.
GLM 5.2 accepts text input and supports thinking, tool calling, function calling and structured outputs; Laguna S 2.1 accepts text input.
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