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GLM-5.3 vs MiniMax M1 40K

GLM-5.3 significantly outperforms across most benchmarks.

Zhipu AI · MiniMax · Updated for 2026

Which is better?

GLM-5.3 outperforms in 1 benchmarks (Humanity's Last Exam), while MiniMax M1 40K is better at 0 benchmarks. GLM-5.3 significantly outperforms across most benchmarks.

Based on current benchmark, pricing, and model metadata for 2026.

Choose GLM-5.3

  • you want the strongest raw capability — it leads on 1 of 1 shared benchmarks
  • you want the most recent training data — it shipped Aug 2026

Choose MiniMax M1 40K

  • you need open weights you can self-host or fine-tune

At a glance

The differences that matter most.

GLM-5.3
Zhipu AI
MiniMax M1 40K
MiniMax
Benchmark wins
1 of 1
0 of 1
Input price
$1.40 / M
— / M
Output price
$4.40 / M
— / M
Context window
1,000,000
—
Released
Aug 2026
Jun 2025
License
Unknown
MIT

Performance Benchmarks

Comparative analysis across standard metrics

1 benchmarks

GLM-5.3 outperforms in 1 benchmarks (Humanity's Last Exam), while MiniMax M1 40K is better at 0 benchmarks.

GLM-5.3 significantly outperforms across most benchmarks.

Mon Aug 24 2026 • llm-stats.com

Arena Performance

Playground indexes and blind preference scores

Model Size

Parameter count comparison

297.0B diff

GLM-5.3 has 297.0B more parameters than MiniMax M1 40K, making it 65.1% larger.

Zhipu AI
GLM-5.3
753.0Bparameters
MiniMax
MiniMax M1 40K
456.0Bparameters
753.0B
GLM-5.3
456.0B
MiniMax M1 40K

Context Window

Maximum input and output token capacity

Only GLM-5.3 specifies input context (1,000,000 tokens). Only GLM-5.3 specifies output context (128,000 tokens).

Zhipu AI
GLM-5.3
Input1,000,000 tokens
Output128,000 tokens
MiniMax
MiniMax M1 40K
Input- tokens
Output- tokens
Mon Aug 24 2026 • llm-stats.com

Release Timeline

When each model was launched

GLM-5.3 was released on 2026-08-14, while MiniMax M1 40K was released on 2025-06-16.

GLM-5.3 is 14 months newer than MiniMax M1 40K.

GLM-5.3

Aug 14, 2026

1 weeks ago

1.2yr newer
MiniMax M1 40K

Jun 16, 2025

1.2 years ago

Knowledge Cutoff

When training data ends

Neither model specifies a knowledge cutoff date.

Unable to compare the recency of their training data.

No cutoff dates available

Outputs Comparison

Notice missing or incorrect data?Start an Issue discussion→

Judge for yourself.

Run your own prompts against GLM-5.3 and MiniMax M1 40K side-by-side, then vote on the output you prefer.

GLM-5.3
✓ Preferred
MiniMax M1 40K
Open in Playground

FAQ

Common questions about GLM-5.3 vs MiniMax M1 40K.

Which is better, GLM-5.3 or MiniMax M1 40K?

GLM-5.3 significantly outperforms across most benchmarks. GLM-5.3 is made by Zhipu AI and MiniMax M1 40K is made by MiniMax. The best choice depends on your use case — compare their benchmark scores, pricing, and capabilities above.

How does GLM-5.3 compare to MiniMax M1 40K in benchmarks?

GLM-5.3 scores Terminal-Bench 2.1: 88.2%, CyberGym: 84.5%, FrontierSWE: 78.1%, Toolathlon: 73.0%, DeepSWE 1.1: 66.9%. MiniMax M1 40K scores MATH-500: 96.0%, AIME 2024: 83.3%, MMLU-Pro: 80.6%, ZebraLogic: 80.1%, OpenAI-MRCR: 2 needle 128k: 76.1%.

What are the context window sizes for GLM-5.3 and MiniMax M1 40K?

GLM-5.3 supports 1.0M tokens and MiniMax M1 40K supports an unknown number of tokens. A larger context window lets you process longer documents, conversations, or codebases in a single request.

What are the main differences between GLM-5.3 and MiniMax M1 40K?

Key differences include licensing (Unknown vs MIT). See the full comparison above for benchmark-by-benchmark results.

Who makes GLM-5.3 and MiniMax M1 40K?

GLM-5.3 is developed by Zhipu AI and MiniMax M1 40K is developed by MiniMax.

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