Compare Claude Haiku 5.5 from Anthropic and GLM 5.2 from Z.AI on key metrics including benchmarks, price, context length, and other model features. Access both models and hundreds of others through the AIHubMix API.
Claude Haiku 5.5
GLM 5.2Claude Haiku 5.5 is Anthropic’s next-generation product, designed for high-throughput, cost-sensitive tasks. It can reliably handle fast and repetitive workloads such as summarization, context compression, database queries, and classification requests. It is also well suited to be used as a sub-agent model in programming workflows alongside Opus 5.5 and Sonnet 5.5.
GLM-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.
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.
LMArena ratings by capability (Bradley-Terry, commonly called Elo). Higher is better.
Source: LMArena (arena.ai) leaderboard, imported by AIHubMix. Models without published ratings are omitted per chart.
Estimate your monthly bill for the same workload on each model.
Monthly = daily × 30. Discounted rates applied where a promotion is active.
Claude Haiku 5.5: $0.5/M output tokens; GLM 5.2: $3.9438/M. Use the cost calculator above to estimate your own workload.
Claude Haiku 5.5: 0.6s time to first token measured on AIHubMix; see the live performance charts above for how each model behaves across the day.
Claude Haiku 5.5 accepts 1,000,000 and GLM 5.2 accepts 1,000,000 input tokens. Maximum output per request is 128,000 tokens on Claude Haiku 5.5 and 131,072 tokens on GLM 5.2.
Claude Haiku 5.5 at 187.4 tok/s and GLM 5.2 at 35.7 tok/s, measured as output throughput on AIHubMix — a separate metric from time to first token.
Claude Haiku 5.5 accepts text and image input; GLM 5.2 accepts text input and supports thinking, tool calling, function calling and structured outputs.
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