Models

Claude Opus 4.6 Thinking vs GLM 5.2

Compare Claude Opus 4.6 Thinking 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 4.6 ThinkingZ.AIGLM 5.2
Anthropic logo
Claude Opus 4.6 Thinking
Anthropic · image, text → text

Claude Opus 4.6 does not enable reasoning mode by default. To access its deep reasoning capabilities, users would typically need to call the native Claude API. To make this capability available through an OpenAI-compatible interface, we provide the claude-opus-4-6-think model, which has reasoning mode pre-enabled and a default 32k-token context window, allowing it to be called directly via the OpenAI unified API. Claude Opus 4.5 Think is a reasoning-focused variant of Claude Opus 4.6 designed for advanced tasks that require rigorous reasoning, complex decision-making, and long-chain analysis. Aside from its enhanced reasoning mechanism, all other capabilities remain consistent with the standard Claude Opus 4.6 model, making it well suited for complex engineering problem decomposition, multi-stage planning, and logic-intensive analysis.

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 4.6 Thinking
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
200,000
1,000,000
Max output
32,000
128,000
Time to First Token
1.7 s
0.7 s
Throughput
50.8 tok/s
35.9 tok/s
Modalities
imagetext
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-4-6-thinkglm-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-4-6-thinkglm-5.2

Throughput (tok/s)

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TTFT (s)

-

Uptime (%)

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LMArena Benchmarks

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

Text
claude-opus-4-6-thinkglm-5.2
14201460150015401580
Overall
14721498
Coding
15091546
Math
14761506
Hard prompts
14921527
Instruction following
14651500
Multi-turn
14691511
Creative writing
14511479
Longer query
14821517
Chinese
15171546
English
14801506
WebDev Arena
claude-opus-4-6-thinkglm-5.2
1500154015801620
Overall
15371587
React
15291599
HTML
15391548
Gaming
15661625
Simulations
15431612
Data analytics
15161543

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 4.6 Thinking
$675 /mo

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

FAQ

Which is cheaper: Claude Opus 4.6 Thinking, GLM 5.2?

GLM 5.2: $2.524/M output tokens; Claude Opus 4.6 Thinking: $25/M. Use the cost calculator above to estimate your own workload.

How do their coding arena scores compare?

Claude Opus 4.6 Thinking: 1546; GLM 5.2: 1509 (LMArena coding leaderboard).

Which responds faster?

GLM 5.2: 0.7s 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 4.6 Thinking accepts 200,000 and GLM 5.2 accepts 1,000,000 input tokens. Maximum output per request is 32,000 tokens on Claude Opus 4.6 Thinking and 128,000 tokens on GLM 5.2.

Which one generates tokens faster?

Claude Opus 4.6 Thinking at 50.8 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 4.6 Thinking accepts image and text 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 4.6 Thinking 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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