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Claude Opus 4.5 vs GLM 5.2

Compare Claude Opus 4.5 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 4.5Z.AIGLM 5.2
+ Add model · 2/4
Anthropic logo
Claude Opus 4.5
Anthropic · text, image → text

Claude Opus 4.5 is Anthropic’s latest frontier reasoning model, optimized for complex engineering, agentic workflows, and long-horizon computer use. It features strong multimodal capabilities, improved resistance to prompt injection, and a new Verbosity parameter to control token efficiency. With advanced tool use, extended context, and multi-agent support, Opus 4.5 excels in autonomous research, debugging, planning, and spreadsheet/browser operations. ⚠️ The minimum cache token for claude-opus-4-5 has been increased from 1,024 to 4,096 tokens.

Input$5 /M
Output$25 /M
Cache read$0.5 /M
Details
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
Details

Pricing & Specifications

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

Claude Opus 4.5
GLM 5.2
Input /M
$5
$1.1268$0.7212−36%
Output /M
$25
$3.9438$2.524−36%
Cache read /M
$0.5
$0.2817$0.1803−36%
Context length
200,000
1,000,000
Max output
32,000
128,000
Time to First Token
1.5 s
0.6 s
Throughput
48.6 tok/s
35.9 tok/s
Modalities
textimage
text
Supported Parameters
thinkingtoolsfunction callingstructured outputs
thinkingtoolsfunction callingstructured outputs
API Formats
chat_completions · claude_api
Released
-
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-4-5glm-5.2

Tokens / day

-

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-4-5glm-5.2

Throughput (tok/s)

-

TTFT (s)

-

Uptime (%)

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LMArena Benchmarks

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

Text
claude-opus-4-5glm-5.2
1420146015001540
Overall
14691472
Coding
15091523
Math
14661476
Hard prompts
14921498
Instruction following
14651475
Multi-turn
14691484
Creative writing
14511461
Longer query
14821493
Chinese
15011517
English
14791480
WebDev Arena
claude-opus-4-5glm-5.2
1440150015601620
Overall
14661587
React
14591599
HTML
14741539
Gaming
16251625
Simulations
16121612
Data analytics
15431543

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 4.5
$675 /mo

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

FAQ

Which is cheaper: Claude Opus 4.5, GLM 5.2?

GLM 5.2: $2.524/M output tokens; Claude Opus 4.5: $25/M. Use the cost calculator above to estimate your own workload.

How do their coding arena scores compare?

Claude Opus 4.5: 1523; 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 4.5 accepts 200,000 and GLM 5.2 accepts 1,000,000 input tokens. Maximum output per request is 32,000 tokens on Claude Opus 4.5 and 128,000 tokens on GLM 5.2.

Which one generates tokens faster?

Claude Opus 4.5 at 48.6 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 4.5 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.

Can I call Claude Opus 4.5 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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