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claude-opus-5 vs glm-5.2

Output tokens cost $25.00 per million on claude-opus-5 and $1.97 per million on glm-5.2. Input tokens cost $5.00 per million on claude-opus-5 and $0.56 per million on glm-5.2. Cached input tokens are billed at $0.50 per million on claude-opus-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-opus-5 and 1,000,000 tokens on glm-5.2. First-token latency measured on AIHubMix is 1.4s on claude-opus-5 and 1.8s on glm-5.2. Measured output throughput is 56.7 tokens/s on claude-opus-5 and 46.9 tokens/s on glm-5.2.

Anthropicclaude-opus-5Z.AIglm-5.2
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Anthropic
claude-opus-5
Anthropic · text, image → text

Claude Opus 5 is Anthropic’s flagship model for demanding reasoning, coding, and long-horizon agentic work. It is particularly strong at end-to-end software tasks, code review and bug finding, visual analysis of charts and documents, complex office deliverables, and coordinating parallel subagents. The model maintains strong instruction following and tool use across extended tasks, while remaining effective at lower effort settings for workloads that prioritize latency and token efficiency.

Input$5.00 /M
Output$25.00 /M
Details
up to 50% off·14:00–23:59 UTC
Z.AI
glm-5.2
Z.AI · text → text

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.

Input$1.13$0.56 /M
Output$3.94$1.97 /M
Details

Specs & Pricing

Prices are per million tokens. Latency and throughput are rolling averages measured on AIHubMix.

claude-opus-5
glm-5.2
Input price
$5.00
$1.13$0.56−50%
Output price
$25.00
$3.94$1.97−50%
Cache read
$0.50
$0.28$0.14−50%
Context window
1,000,000
1,000,000
Max output
128,000
128,000
Latency (first token)
1.4 s
1.8 s
Throughput
56.7 TPS
46.9 TPS
Modalities
textimage
text
Features
thinkingtoolsstructured outputslong contextweb
thinkingtoolsfunction callingstructured outputs
Endpoints
chat_completions · claude_api · responses
chat_completions · claude_api

Promotional prices show the discounted rate; see each model page for promotion windows.

Usage on AIHubMix last 30 days

Daily traffic served through AIHubMix — how demand for each model is trending.

claude-opus-5glm-5.2

Tokens / day

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Requests / day

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Live Performance last 3 days

Measured on real AIHubMix traffic, hourly buckets. Gaps mean no traffic in that hour.

claude-opus-5glm-5.2

Throughput (TPS)

-

Latency (s)

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Uptime (%)

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Cost Calculator

Estimate your monthly bill for the same workload on each model.

glm-5.2
$127$63.38 /mo
claude-opus-5
$675 /mo

Monthly = daily × 30. Discounted rates applied where a promotion is active.

FAQ

Which is cheaper: claude-opus-5, glm-5.2?

glm-5.2: $1.97/M output tokens; claude-opus-5: $25.00/M. Use the cost calculator above to estimate your own workload.

Which responds faster?

claude-opus-5: 1.4s first-token latency measured on AIHubMix; see the live performance charts above for how each model behaves across the day.

How large is each context window?

claude-opus-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-opus-5 and 128,000 tokens on glm-5.2.

Which one generates tokens faster?

claude-opus-5 at 56.7 tokens/s and glm-5.2 at 46.9 tokens/s, measured as output throughput on AIHubMix — a separate metric from first-token latency.

What inputs and capabilities does each model support?

claude-opus-5 accepts text and image input and supports thinking, tool calling, structured outputs, long context and web search; glm-5.2 accepts text input and supports thinking, tool calling, function calling and structured outputs.

Can I call claude-opus-5 and glm-5.2 with the same API key?

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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