Models

Claude Sonnet 4.6 Thinking vs GLM 5.2

Output tokens cost $15.00 per million on Claude Sonnet 4.6 Thinking and $3.94 per million on GLM 5.2. Input tokens cost $3.00 per million on Claude Sonnet 4.6 Thinking and $1.13 per million on GLM 5.2. Cached input tokens are billed at $0.30 per million on Claude Sonnet 4.6 Thinking and $0.28 per million on GLM 5.2. Context lengths are 200,000 tokens on Claude Sonnet 4.6 Thinking and 1,000,000 tokens on GLM 5.2. Time to first token (TTFT) measured on AIHubMix is 1.2s on Claude Sonnet 4.6 Thinking and 0.6s on GLM 5.2. Measured output throughput is 67.8 tok/s on Claude Sonnet 4.6 Thinking and 42.1 tok/s on GLM 5.2. On the LMArena coding leaderboard Claude Sonnet 4.6 Thinking scores 1528 and GLM 5.2 scores 1505.

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

Claude sonnet 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-sonnet-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 sonnet 4.5 Think is a reasoning-focused variant of Claude sonnet 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 sonnet 4.6 model, making it well suited for complex engineering problem decomposition, multi-stage planning, and logic-intensive analysis.

Input$3.00 /M
Output$15.00 /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.

Claude Sonnet 4.6 Thinking
GLM 5.2
Input /M
$3.00
$1.13
Output /M
$15.00
$3.94
Cache read /M
$0.30
$0.28
Context length
200,000
1,000,000
Max output
32,000
128,000
Time to First Token
1.2 s
0.6 s
Throughput
67.8 tok/s
42.1 tok/s
Modalities
imagetext
text
Supported Parameters
thinkingtoolsfunction callingstructured outputs
thinkingtoolsfunction callingstructured outputs
API Formats
chat_completions · claude_api
Released
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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-4-6-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-sonnet-4-6-thinkglm-5.2

Throughput (tok/s)

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TTFT (s)

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Uptime (%)

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LMArena Benchmarks

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

Text
claude-sonnet-4-6-thinkglm-5.2
1420146015001540
Overall
14701472
Coding
15051528
Math
14631475
Hard prompts
14881503
Instruction following
14621476
Multi-turn
14701481
Creative writing
14501450
Longer query
14791493
Chinese
15101516
English
14771484
WebDev Arena
claude-sonnet-4-6-thinkglm-5.2
14801520156016001640
Overall
15221582
React
15121594
HTML
15291537
Gaming
15421617
Simulations
15221606
Data analytics
15191542

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
Claude Sonnet 4.6 Thinking
$405 /mo

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

FAQ

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

GLM 5.2: $3.94/M output tokens; Claude Sonnet 4.6 Thinking: $15.00/M. Use the cost calculator above to estimate your own workload.

How do their coding arena scores compare?

Claude Sonnet 4.6 Thinking: 1528; GLM 5.2: 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 Sonnet 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 Sonnet 4.6 Thinking and 128,000 tokens on GLM 5.2.

Which one generates tokens faster?

Claude Sonnet 4.6 Thinking at 67.8 tok/s and GLM 5.2 at 42.1 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 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 Sonnet 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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