Models

Claude Opus 5 vs GLM 5.2

Compare Claude Opus 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.

AnthropicClaude Opus 5Z.AIGLM 5.2
Anthropic logo
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 /M
Output$25 /M
Cache read$0.5 /M
36% off
Z.AI logo
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$1.1268$0.7212 /M
Output$3.9438$2.524 /M
Cache read$0.2817$0.1803 /M

Pricing & Specifications

Prices are per million tokens. Time to First Token and throughput are rolling averages measured on AIHubMix.

Claude Opus 5
GLM 5.2
Input /M
$5
$1.1268$0.721236%
Output /M
$25
$3.9438$2.52436%
Cache read /M
$0.5
$0.2817$0.180336%
Context length
1,000,000
1,000,000
Max output
128,000
128,000
Time to First Token
1.4 s
0.6 s
Throughput
62.2 tok/s
35.9 tok/s
Modalities
textimage
text
Supported Parameters
thinkingtoolsstructured outputslong contextweb
thinkingtoolsfunction callingstructured outputs
API Formats
chat_completions · claude_api · responses
chat_completions · claude_api
Released
July 24, 2026
June 16, 2026

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

Activity Past 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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Performance Past 3 Days

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

claude-opus-5glm-5.2

Throughput (tok/s)

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TTFT (s)

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Uptime (%)

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LMArena Benchmarks

LMArena ratings by capability (Bradley-Terry, commonly called Elo). Higher is better.

Text
claude-opus-5glm-5.2
14201460150015401580
Overall
14721493
Coding
15091533
Math
14761526
Hard prompts
14921518
Instruction following
14651498
Multi-turn
14691486
Creative writing
14511475
Longer query
14821507
Chinese
15171560
English
14801492
WebDev Arena
claude-opus-5glm-5.2
15201580164017001760
Overall
15871661
React
15991678
HTML
15391651
Gaming
16251734
Simulations
16121711
Data analytics
15431580

Source: LMArena (arena.ai) leaderboard, imported by AIHubMix. Models without published ratings are omitted per chart.

Cost calculator

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

GLM 5.2
$127$81.13 /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: $2.524/M output tokens; Claude Opus 5: $25/M. Use the cost calculator above to estimate your own workload.

How do their coding arena scores compare?

Claude Opus 5: 1533; GLM 5.2: 1509 (LMArena coding leaderboard).

Which responds faster?

GLM 5.2: 0.6s time to first token 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 62.2 tok/s and GLM 5.2 at 35.9 tok/s, measured as output throughput on AIHubMix — a separate metric from time to first token.

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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