Claude Opus 4.5 vs GLM 5.2

Output tokens cost $25.00 per million on Claude Opus 4.5 and $3.94 per million on GLM 5.2. Input tokens cost $5.00 per million on Claude Opus 4.5 and $1.13 per million on GLM 5.2. Cached input tokens are billed at $0.50 per million on Claude Opus 4.5 and $0.28 per million on GLM 5.2. Context lengths are 200,000 tokens on Claude Opus 4.5 and 1,000,000 tokens on GLM 5.2. Time to first token (TTFT) measured on AIHubMix is 1.5s on Claude Opus 4.5 and 1.1s on GLM 5.2. Measured output throughput is 43.9 tok/s on Claude Opus 4.5 and 37.7 tok/s on GLM 5.2. On the LMArena coding leaderboard Claude Opus 4.5 scores 1523 and GLM 5.2 scores 1505.

Claude Opus 4.5 Z.AI

GLM 5.2

+ Add model · 2/4

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$5.00 /M

Output$25.00 /M

Details

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 /M

Output$3.94 /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

$5.00

$1.13

Output /M

$25.00

$3.94

Cache read /M

$0.50

$0.28

Context length

200,000

1,000,000

Max output

32,000

128,000

Time to First Token

1.5 s

1.1 s

Throughput

43.9 tok/s

37.7 tok/s

Modalities

textimage

text

Supported Parameters

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

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 (%)

LMArena Benchmarks

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

Text

claude-opus-4-5glm-5.2

1420146015001540

Overall

14691470

Coding

15051523

Math

14661475

Hard prompts

14881498

Instruction following

14621475

Multi-turn

14701484

Creative writing

14501461

Longer query

14791493

Chinese

15011516

English

14771479

WebDev Arena

claude-opus-4-5glm-5.2

1440150015601620

Overall

14661582

React

14591594

HTML

14741537

Gaming

16171617

Simulations

16061606

Data analytics

15421542

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.

Requests / day

Avg input tokens / request

Avg output tokens / request

GLM 5.2

$127 /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: $3.94/M output tokens; Claude Opus 4.5: $25.00/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: 1505 (LMArena coding leaderboard).

Which responds faster?

GLM 5.2: 1.1s 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 43.9 tok/s and GLM 5.2 at 37.7 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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Claude Opus 4.5 vs GLM 5.2

Pricing & Specifications

Activity Past 30 Days

Tokens / day

Requests / day

Performance Past 3 Days

Throughput (tok/s)

TTFT (s)

Uptime (%)

LMArena Benchmarks

Cost calculator

FAQ

Popular comparisons

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