Compare Claude Opus 4.8 from Anthropic and Coding GLM 5.3 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 Opus 4.8
Coding GLM 5.3Claude Opus 4.8 is Anthropic’s newest and most powerful publicly available model. It is suitable for the most complex tasks. It is Anthropic’s strongest model for complex reasoning, long-horizon agent programming, and highly autonomous work.claude-opus-4-8 does not display thought content by default; you need to set the additional parameter "display": "summarized" to enable it
GLM-5.3 is Z.ai’s reasoning model for coding and agentic workflows, designed for complex software engineering, long-running agents, and vulnerability analysis. It uses the same base model as GLM-5.2, with scaled post-training improving coding, task execution, and token efficiency. This model is a limited-time preview version of GLM-5.3, intended for testing and evaluation only. Service stability is not guaranteed, and we do not recommend using it in production environments. We’re waiting for the official commercial API release and will integrate it as soon as official support becomes available.
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.
Coding GLM 5.3: $0.22/M output tokens; Claude Opus 4.8: $25/M. Use the cost calculator above to estimate your own workload.
Claude Opus 4.8: 0.8s time to first token measured on AIHubMix; see the live performance charts above for how each model behaves across the day.
Claude Opus 4.8 accepts 1,000,000 and Coding GLM 5.3 accepts 1,048,576 input tokens. Maximum output per request is 128,000 tokens on Claude Opus 4.8 and 131,072 tokens on Coding GLM 5.3.
Claude Opus 4.8 at 82.6 tok/s and Coding GLM 5.3 at 37.2 tok/s, measured as output throughput on AIHubMix — a separate metric from time to first token.
Claude Opus 4.8 accepts text, image and PDF input and supports thinking, tool calling, function calling and structured outputs; Coding GLM 5.3 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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