Models

Claude Opus 4.1 vs GLM 5.2

Compare Claude Opus 4.1 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 4.1Z.AIGLM 5.2
Anthropic logo
Claude Opus 4.1
Anthropic · text, image → text

Opus 4.1 is an upgraded version of Claude Opus 4, with improvements mainly in agent tasks, practical coding, and reasoning. Compared to Opus 4, there is a slight improvement in software engineering accuracy; Opus 4.1 has higher accuracy at 74.5%.

Input$16.5 /M
Output$82.5 /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 4.1
GLM 5.2
Input /M
$16.5
$1.1268$0.721236%
Output /M
$82.5
$3.9438$2.52436%
Cache read /M
-
$0.2817$0.180336%
Context length
200,000
1,000,000
Max output
32,000
128,000
Time to First Token
1.7 s
0.6 s
Throughput
40.6 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-4-1glm-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-4-1glm-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-4-1glm-5.2
1400144014801520
Overall
14471472
Coding
15051509
Math
14341476
Hard prompts
14771492
Instruction following
14551465
Multi-turn
14691469
Creative writing
14421451
Longer query
14721482
Chinese
14651517
English
14581480
WebDev Arena
claude-opus-4-1glm-5.2
1360144015201600
Overall
13861587
React
15991599
HTML
13931539
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 4.1
$2,228 /mo

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

FAQ

Which is cheaper: Claude Opus 4.1, GLM 5.2?

GLM 5.2: $2.524/M output tokens; Claude Opus 4.1: $82.5/M. Use the cost calculator above to estimate your own workload.

How do their coding arena scores compare?

GLM 5.2: 1509; Claude Opus 4.1: 1505 (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 4.1 accepts 200,000 and GLM 5.2 accepts 1,000,000 input tokens. Maximum output per request is 32,000 tokens on Claude Opus 4.1 and 128,000 tokens on GLM 5.2.

Which one generates tokens faster?

Claude Opus 4.1 at 40.6 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 4.1 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 4.1 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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