Models

Anthropic Opus 4.6 vs GLM 5.2

Compare Anthropic Opus 4.6 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.

AnthropicAnthropic Opus 4.6Z.AIGLM 5.2
Anthropic logo
Anthropic Opus 4.6
Anthropic · text, image → text

Claude Opus 4.6 is Anthropic’s latest state-of-the-art reasoning model. It features an adaptive “thinking” mode that dynamically decides when to think and how much to think. At the default effort level (high), Claude will almost always engage in thinking. At lower effort levels, it may skip thinking for simple problems. ⚠️ The minimum cache token for claude-opus-4-6 has been increased from 1,024 to 4,096 tokens.

Input$5.00 /M
Output$25.00 /M
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$1.13 /M
Output$3.94 /M

Pricing & Specifications

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

Anthropic Opus 4.6
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
3.1 s
1.1 s
Throughput
39.7 tok/s
38.0 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.

anthropic-opus-4-6glm-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.

anthropic-opus-4-6glm-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
anthropic-opus-4-6glm-5.2
14201460150015401580
Overall
14701499
Coding
15051548
Math
14751504
Hard prompts
14881528
Instruction following
14621501
Multi-turn
14701510
Creative writing
14501478
Longer query
14791519
Chinese
15161549
English
14771508
WebDev Arena
anthropic-opus-4-6glm-5.2
1500154015801620
Overall
15361582
React
15301594
HTML
15371542
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.

GLM 5.2
$127 /mo
Anthropic Opus 4.6
$675 /mo

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

FAQ

Which is cheaper: Anthropic Opus 4.6, GLM 5.2?

GLM 5.2: $3.94/M output tokens; Anthropic Opus 4.6: $25.00/M. Use the cost calculator above to estimate your own workload.

How do their coding arena scores compare?

Anthropic Opus 4.6: 1548; 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?

Anthropic Opus 4.6 accepts 200,000 and GLM 5.2 accepts 1,000,000 input tokens. Maximum output per request is 32,000 tokens on Anthropic Opus 4.6 and 128,000 tokens on GLM 5.2.

Which one generates tokens faster?

Anthropic Opus 4.6 at 39.7 tok/s and GLM 5.2 at 38.0 tok/s, measured as output throughput on AIHubMix — a separate metric from time to first token.

What inputs and capabilities does each model support?

Anthropic Opus 4.6 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 Anthropic Opus 4.6 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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