Models

GLM 5.2 vs MiniMax M3

Compare GLM 5.2 from Z.AI and MiniMax M3 from Minimax 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 5.2MinimaxMiniMax M3
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
Minimax logo
MiniMax M3
Minimax · text → text

The MiniMax M3 is a flagship programming model built for real-world productivity. As a production-grade model natively designed for Agent scenarios, it has achieved state-of-the-art (SOTA) performance in coding, agentic tool use, search, and office work.

Input$0.288 /M
Output$1.152 /M

Pricing & Specifications

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

GLM 5.2
MiniMax M3
Input /M
$1.1268$0.721236%
$0.288
Output /M
$3.9438$2.52436%
$1.152
Cache read /M
$0.2817$0.180336%
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Context length
1,000,000
204,800
Max output
128,000
192,000
Time to First Token
0.6 s
1.5 s
Throughput
35.9 tok/s
44.2 tok/s
Modalities
text
text
Supported Parameters
thinkingtoolsfunction callingstructured outputs
thinkingtoolsfunction callingstructured outputs
API Formats
chat_completions · claude_api
Released
June 16, 2026
June 1, 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-5.2minimax-m3

Tokens / day

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Requests / day

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Performance Past 3 Days

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

glm-5.2minimax-m3

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
glm-5.2minimax-m3
13801420146015001540
Overall
14431472
Coding
14981509
Math
14381476
Hard prompts
14641492
Instruction following
14351465
Multi-turn
14511469
Creative writing
14071451
Longer query
14531482
Chinese
14701517
English
14561480
WebDev Arena
glm-5.2minimax-m3
1440150015601620
Overall
14871587
React
14841599
HTML
14621539
Gaming
14751625
Simulations
14741612
Data analytics
14871543

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.

MiniMax M3
$34.56 /mo
GLM 5.2
$127$81.13 /mo

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

FAQ

Which is cheaper: GLM 5.2, MiniMax M3?

MiniMax M3: $1.152/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; MiniMax M3: 1498 (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 5.2 accepts 1,000,000 and MiniMax M3 accepts 204,800 input tokens. Maximum output per request is 128,000 tokens on GLM 5.2 and 192,000 tokens on MiniMax M3.

Which one generates tokens faster?

MiniMax M3 at 44.2 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?

GLM 5.2 accepts text input and supports thinking, tool calling, function calling and structured outputs; MiniMax M3 accepts text input and supports thinking, tool calling, function calling and structured outputs.

Can I call GLM 5.2 and MiniMax M3 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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