Models

GLM 5 Turbo vs GLM 5.2

Compare GLM 5 Turbo 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.AIGLM 5 TurboZ.AIGLM 5.2
Z.AI logo
GLM 5 Turbo
Z.AI · text → text

GLM-5-Turbo is a foundational model deeply optimized for the OpenClaw scenario. From the training stage it has been specifically optimized for the core requirements of OpenClaw tasks, enhancing key capabilities such as tool invocation, instruction following, scheduled and persistent tasks, and long-chain execution.

Input$1.2 /M
Output$3.9996 /M
Cache read$0.24 /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.

GLM 5 Turbo
GLM 5.2
Input /M
$1.2
$1.1268$0.721236%
Output /M
$3.9996
$3.9438$2.52436%
Cache read /M
$0.24
$0.2817$0.180336%
Context length
202,752
1,000,000
Max output
0
128,000
Time to First Token
6.0 s
0.6 s
Throughput
19.5 tok/s
35.9 tok/s
Modalities
text
text
Supported Parameters
thinkingtoolsfunction callingstructured outputs
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-5-turboglm-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-5-turboglm-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
glm-5-turboglm-5.2
1420146015001540
Overall
14581472
Coding
14961509
Math
14391476
Hard prompts
14791492
Instruction following
14481465
Multi-turn
14691471
Creative writing
14501451
Longer query
14711482
Chinese
15171526
English
14711480
WebDev Arena
glm-5-turboglm-5.2
14001460152015801640
Overall
14351587
React
14251599
HTML
14521539
Gaming
14371625
Simulations
14411612
Data analytics
14291543

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
GLM 5 Turbo
$132 /mo

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

FAQ

Which is cheaper: GLM 5 Turbo, GLM 5.2?

GLM 5.2: $2.524/M output tokens; GLM 5 Turbo: $3.9996/M. Use the cost calculator above to estimate your own workload.

How do their coding arena scores compare?

GLM 5.2: 1509; GLM 5 Turbo: 1496 (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?

GLM 5 Turbo accepts 202,752 and GLM 5.2 accepts 1,000,000 input tokens.

Which one generates tokens faster?

GLM 5.2 at 35.9 tok/s and GLM 5 Turbo at 19.5 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 5 Turbo 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 5 Turbo 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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