GLM 4.7 vs GLM 5.2

Output tokens cost $1.10 per million on GLM 4.7 and $3.94 per million on GLM 5.2. Input tokens cost $0.27 per million on GLM 4.7 and $1.13 per million on GLM 5.2. Cached input tokens are billed at $0.05 per million on GLM 4.7 and $0.28 per million on GLM 5.2. Context lengths are 200,000 tokens on GLM 4.7 and 1,000,000 tokens on GLM 5.2. Time to first token (TTFT) measured on AIHubMix is 2.0s on GLM 4.7 and 1.1s on GLM 5.2. Measured output throughput is 42.4 tok/s on GLM 4.7 and 36.5 tok/s on GLM 5.2. On the LMArena coding leaderboard GLM 4.7 scores 1485 and GLM 5.2 scores 1505.

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$0.27 /M

Output$1.10 /M

Details

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

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

$0.27

$1.13

Output /M

$1.10

$3.94

Cache read /M

$0.05

$0.28

Context length

200,000

1,000,000

Max output

128,000

Time to First Token

2.0 s

1.1 s

Throughput

42.4 tok/s

36.5 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

14421470

Coding

14851505

Math

14281475

Hard prompts

14631488

Instruction following

14281462

Multi-turn

14591470

Creative writing

14061450

Longer query

14521479

Chinese

14871516

English

14631477

WebDev Arena

glm-4.7glm-5.2

1420148015401600

Overall

14401582

React

14371594

HTML

14491537

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.

Requests / day

Avg input tokens / request

Avg output tokens / request

GLM 4.7

$32.88 /mo

GLM 5.2

$127 /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: $1.10/M output tokens; GLM 5.2: $3.94/M. Use the cost calculator above to estimate your own workload.

How do their coding arena scores compare?

GLM 5.2: 1505; GLM 4.7: 1485 (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?

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 4.7 at 42.4 tok/s and GLM 5.2 at 36.5 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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