GLM 4.7 vs GLM 5.2

Compare GLM 4.7 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.

GLM 4.7

GLM 5.2

+ Add model · 2/4

GLM 4.7

Z.AI · text → text

GLM-4.7 is Zhiyuan's latest flagship model. GLM-4.7 enhances coding capabilities, long-range task planning, and tool collaboration for Agentic Coding scenarios, achieving leading performance among open-source models on several current public benchmarks. It features improved general capabilities, with responses that are more concise and natural, and writing that is more immersive. When executing complex agent tasks and tool usage, it follows instructions more strictly, with further improvements in the frontend aesthetics of Artifacts and Agentic Coding as well as the efficiency of completing long-range tasks.

Input$0.274 /M

Output$1.0959 /M

Cache read$0.0548 /M

Details

36% off

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

Details

Pricing & Specifications

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

GLM 4.7

GLM 5.2

Input /M

$0.274

$1.1268$0.7212−36%

Output /M

$1.0959

$3.9438$2.524−36%

Cache read /M

$0.0548

$0.2817$0.1803−36%

Context length

200,000

1,000,000

Max output

128,000

Time to First Token

13.0 s

0.7 s

Throughput

26.5 tok/s

35.9 tok/s

Modalities

text

Supported Parameters

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.

glm-4.7glm-5.2

Tokens / day

Requests / day

Performance Past 3 Days

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

glm-4.7glm-5.2

Throughput (tok/s)

TTFT (s)

Uptime (%)

LMArena Benchmarks

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

Text

glm-4.7glm-5.2

13801420146015001540

Overall

14421472

Coding

14851509

Math

14281476

Hard prompts

14631492

Instruction following

14281465

Multi-turn

14591469

Creative writing

14061451

Longer query

14521482

Chinese

14871517

English

14631480

WebDev Arena

glm-4.7glm-5.2

1420148015401600

Overall

14401587

React

14371599

HTML

14491539

Gaming

16251625

Simulations

16121612

Data analytics

15431543

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.

Requests / day

Avg input tokens / request

Avg output tokens / request

GLM 4.7

$32.88 /mo

GLM 5.2

$127$81.13 /mo

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

FAQ

Which is cheaper: GLM 4.7, GLM 5.2?

GLM 4.7: $1.0959/M output tokens; GLM 5.2: $2.524/M. Use the cost calculator above to estimate your own workload.

How do their coding arena scores compare?

GLM 5.2: 1509; GLM 4.7: 1485 (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?

GLM 4.7 accepts 200,000 and GLM 5.2 accepts 1,000,000 input tokens. Maximum output per request is 128,000 tokens on GLM 4.7 and 128,000 tokens on GLM 5.2.

Which one generates tokens faster?

GLM 5.2 at 35.9 tok/s and GLM 4.7 at 26.5 tok/s, measured as output throughput on AIHubMix — a separate metric from time to first token.

What inputs and capabilities does each model support?

GLM 4.7 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 GLM 4.7 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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GLM 4.7 vs GLM 5.2

Pricing & Specifications

Activity Past 30 Days

Tokens / day

Requests / day

Performance Past 3 Days

Throughput (tok/s)

TTFT (s)

Uptime (%)

LMArena Benchmarks

Cost calculator

FAQ

Popular comparisons

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