Models

Claude Sonnet 4.6 vs GLM 5.2

Compare Claude Sonnet 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.

AnthropicClaude Sonnet 4.6Z.AIGLM 5.2
Anthropic logo
Claude Sonnet 4.6
Anthropic · text, image → text

Claude Sonnet 4.6 delivers frontier intelligence at scale—built for coding, agents, and enterprise workflows. Use cases include: Agents: Sonnet 4.6 excels at complex, multi-step tasks requiring sustained reasoning and adaptive decision-making—ideal for workflows where reliability and autonomy matter most. Coding: Sonnet 4.6 is built for iterative development work, handling complex codebases without losing quality as you guide it through building, refactoring, and debugging. It can compress multi-day projects into hours with the technical depth to deliver production-ready solutions. Enterprise workflows: Sonnet 4.6 powers agents that manage professional projects from start to finish, leveraging memory to maintain context across files with a step-change improvement in creating spreadsheets, slides, and docs. Financial analysis: Sonnet 4.6 connects the dots across regulatory filings, market reports, and internal data—enabling sophisticated modeling and proactive compliance. Cybersecurity: Sonnet 4.6 brings professional-grade analysis to security workflows, correlating logs, vulnerability databases, and threat intelligence for proactive threat detection and automated incident response. Computer use: Sonnet 4.6 delivers confident, consistent navigation with more human-like browsing—enabling better web QA, workflow automation, and advanced user experiences.

Input$3 /M
Output$15 /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 Sonnet 4.6
GLM 5.2
Input /M
$3
$1.1268$0.721236%
Output /M
$15
$3.9438$2.52436%
Cache read /M
-
$0.2817$0.180336%
Context length
1,000,000
1,000,000
Max output
64,000
128,000
Time to First Token
0.9 s
0.6 s
Throughput
68.6 tok/s
35.9 tok/s
Modalities
textimage
text
Supported Parameters
thinkingtoolsfunction callingstructured outputs
thinkingtoolsfunction callingstructured outputs
API Formats
chat_completions · gemini_api · claude_api
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-sonnet-4-6glm-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-sonnet-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
claude-sonnet-4-6glm-5.2
1420146015001540
Overall
14721472
Coding
15091528
Math
14631476
Hard prompts
14921504
Instruction following
14651476
Multi-turn
14691481
Creative writing
14501451
Longer query
14821493
Chinese
15061517
English
14801483
WebDev Arena
claude-sonnet-4-6glm-5.2
14801520156016001640
Overall
15211587
React
15111599
HTML
15291539
Gaming
15411625
Simulations
15201612
Data analytics
15181543

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 Sonnet 4.6
$405 /mo

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

FAQ

Which is cheaper: Claude Sonnet 4.6, GLM 5.2?

GLM 5.2: $2.524/M output tokens; Claude Sonnet 4.6: $15/M. Use the cost calculator above to estimate your own workload.

How do their coding arena scores compare?

Claude Sonnet 4.6: 1528; 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 Sonnet 4.6 accepts 1,000,000 and GLM 5.2 accepts 1,000,000 input tokens. Maximum output per request is 64,000 tokens on Claude Sonnet 4.6 and 128,000 tokens on GLM 5.2.

Which one generates tokens faster?

Claude Sonnet 4.6 at 68.6 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 Sonnet 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 Claude Sonnet 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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