Models

Coding GLM 4.7 (free) vs GLM 5.2

Compare Coding GLM 4.7 (free) from Z.AI 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.

Z.AICoding GLM 4.7 (free)Z.AIGLM 5.2
Z.AI logo
Coding GLM 4.7 (free)
Z.AI · text → text

coding-glm-4.7-free is the open and free version of coding-glm-4.7. To ensure stable service performance, usage limits are in place: up to 5 requests per minute, 500 requests per day, and a daily token allowance of 1 million.

Input$0 /M
Output$0 /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.

Coding GLM 4.7 (free)
GLM 5.2
Input /M
$0
$1.1268$0.721236%
Output /M
$0
$3.9438$2.52436%
Cache read /M
-
$0.2817$0.180336%
Context length
200,000
1,000,000
Max output
131,072
131,072
Time to First Token
2.4 s
1.0 s
Throughput
36.8 tok/s
35.9 tok/s
Modalities
text
text
Supported Parameters
thinkingtoolsfunction callingstructured outputs
thinkingtoolsfunction callingstructured outputs
API Formats
chat_completions · claude_api
Released
December 22, 2025
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.

coding-glm-4.7-freeglm-5.2

Tokens / day

-

Requests / day

-

Performance Past 3 Days

Measured on real AIHubMix traffic, hourly buckets. Gaps mean no traffic in that hour.

coding-glm-4.7-freeglm-5.2

Throughput (tok/s)

-

TTFT (s)

-

Uptime (%)

-

LMArena Benchmarks

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

Text
coding-glm-4.7-freeglm-5.2
13801420146015001540
Overall
14431472
Coding
14861509
Math
14291476
Hard prompts
14631492
Instruction following
14281465
Multi-turn
14591469
Creative writing
14061451
Longer query
14531482
Chinese
14881517
English
14631480
WebDev Arena
coding-glm-4.7-freeglm-5.2
1380146015401620
Overall
14401589
React
14361601
HTML
14491540
Gaming
14301628
Simulations
14081614
Data analytics
14411543

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.

Coding GLM 4.7 (free)
$0.00 /mo
GLM 5.2
$127$81.13 /mo

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

FAQ

How do their coding arena scores compare?

GLM 5.2: 1509; Coding GLM 4.7 (free): 1486 (LMArena coding leaderboard).

Which responds faster?

GLM 5.2: 1.0s 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?

Coding GLM 4.7 (free) accepts 200,000 and GLM 5.2 accepts 1,000,000 input tokens. Maximum output per request is 131,072 tokens on Coding GLM 4.7 (free) and 131,072 tokens on GLM 5.2.

Which one generates tokens faster?

Coding GLM 4.7 (free) at 36.8 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?

Coding GLM 4.7 (free) accepts 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 Coding GLM 4.7 (free) 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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