Output tokens cost $10.00 per million on claude-sonnet-5 and $1.97 per million on glm-5.2. Input tokens cost $2.00 per million on claude-sonnet-5 and $0.56 per million on glm-5.2. Cached input tokens are billed at $2.00 per million on claude-sonnet-5 and $0.14 per million on glm-5.2. Discounted rates are shown where a promotion is active. Context windows are 1,000,000 tokens on claude-sonnet-5 and 1,000,000 tokens on glm-5.2. First-token latency measured on AIHubMix is 3.3s on claude-sonnet-5 and 1.8s on glm-5.2. Measured output throughput is 91.0 tokens/s on claude-sonnet-5 and 46.9 tokens/s on glm-5.2.
claude-sonnet-5
glm-5.2Claude Sonnet 5 is the next generation of Anthropic's Sonnet model family. It is a drop-in upgrade for Claude Sonnet 4.6 with three behavior changes: adaptive thinking is on by default, manual extended thinking now returns a 400 error (it was deprecated on Claude Sonnet 4.6), and setting sampling parameters (temperature, top_p, top_k) to non-default values returns a 400 error
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. Latency 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.
glm-5.2: $1.97/M output tokens; claude-sonnet-5: $10.00/M. Use the cost calculator above to estimate your own workload.
glm-5.2: 1.8s first-token latency measured on AIHubMix; see the live performance charts above for how each model behaves across the day.
claude-sonnet-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-sonnet-5 and 128,000 tokens on glm-5.2.
claude-sonnet-5 at 91.0 tokens/s and glm-5.2 at 46.9 tokens/s, measured as output throughput on AIHubMix — a separate metric from first-token latency.
claude-sonnet-5 accepts text and image input and supports thinking, tool calling, function calling and structured outputs; glm-5.2 accepts text input and supports thinking, tool calling, function calling and structured outputs.
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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