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GLM-5.3 vs MiniMax M2

GLM-5.3 significantly outperforms across most benchmarks. MiniMax M2 is 4.1x cheaper per token.

Zhipu AI · MiniMax · Updated for 2026

Which is better?

GLM-5.3 outperforms in 1 benchmarks (Humanity's Last Exam), while MiniMax M2 is better at 0 benchmarks. GLM-5.3 significantly outperforms across most benchmarks.

On price, MiniMax M2 is roughly 4.1x cheaper per token on a blended 3:1 input/output basis, which adds up quickly at production volume.

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 M2

  • cost matters — it's about 4.1x cheaper per token
  • you need open weights you can self-host or fine-tune

At a glance

The differences that matter most.

Benchmark wins
1 of 1
0 of 1
Input price
$1.40 / M
$0.30 / M
Output price
$4.40 / M
$1.20 / M
Context window
1,000,000
1,000,000
Released
Aug 2026
Oct 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 M2 is better at 0 benchmarks.

GLM-5.3 significantly outperforms across most benchmarks.

Tue Aug 25 2026 • llm-stats.com

Arena Performance

Playground indexes and blind preference scores

Pricing Analysis

Price comparison per million tokens

MiniMax M2 costs less

For input processing, GLM-5.3 ($1.40/1M tokens) is 4.7x more expensive than MiniMax M2 ($0.30/1M tokens).

For output processing, GLM-5.3 ($4.40/1M tokens) is 3.7x more expensive than MiniMax M2 ($1.20/1M tokens).

In conclusion, GLM-5.3 is more expensive than MiniMax M2.*

* Using a 3:1 ratio of input to output tokens

Lowest available price from all providers
Tue Aug 25 2026 • llm-stats.com
Zhipu AI
GLM-5.3
Input tokens$1.40
Output tokens$4.40
Best providerUnknown Organization
MiniMax
MiniMax M2
Input tokens$0.30
Output tokens$1.20
Best providerMiniMax
Notice missing or incorrect data?Start an Issue

Model Size

Parameter count comparison

523.0B diff

GLM-5.3 has 523.0B more parameters than MiniMax M2, making it 227.4% larger.

Zhipu AI
GLM-5.3
753.0Bparameters
MiniMax
MiniMax M2
230.0Bparameters
753.0B
GLM-5.3
230.0B
MiniMax M2

Context Window

Maximum input and output token capacity

Both models have the same input context window of 1,000,000 tokens. MiniMax M2 can generate longer responses up to 1,000,000 tokens, while GLM-5.3 is limited to 128,000 tokens.

Zhipu AI
GLM-5.3
Input1,000,000 tokens
Output128,000 tokens
MiniMax
MiniMax M2
Input1,000,000 tokens
Output1,000,000 tokens
Tue Aug 25 2026 • llm-stats.com

Release Timeline

When each model was launched

GLM-5.3 was released on 2026-08-14, while MiniMax M2 was released on 2025-10-27.

GLM-5.3 is 10 months newer than MiniMax M2.

GLM-5.3

Aug 14, 2026

1 weeks ago

9mo newer
MiniMax M2

Oct 27, 2025

10 months 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

Provider Availability

GLM-5.3 is available from ZAI. MiniMax M2 is available from MiniMax, Novita.

GLM-5.3

z logo
Unknown Organization
Input Price:Input: $1.40/1MOutput Price:Output: $4.40/1M

MiniMax M2

minimax logo
MiniMax
Input Price:Input: $0.30/1MOutput Price:Output: $1.20/1M
novita logo
Novita
Input Price:Input: $0.30/1MOutput Price:Output: $1.20/1M
* Prices shown are per million tokens

Outputs Comparison

Notice missing or incorrect data?Start an Issue discussion

Judge for yourself.

Run your own prompts against GLM-5.3 and MiniMax M2 side-by-side, then vote on the output you prefer.

GLM-5.3
✓ Preferred
MiniMax M2
Open in Playground

FAQ

Common questions about GLM-5.3 vs MiniMax M2.

Which is better, GLM-5.3 or MiniMax M2?

GLM-5.3 significantly outperforms across most benchmarks. GLM-5.3 is made by Zhipu AI and MiniMax M2 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 M2 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 M2 scores Tau2 Telecom: 87.0%, LiveCodeBench: 83.0%, MMLU-Pro: 82.0%, AIME 2025: 78.0%, GPQA: 78.0%.

Is GLM-5.3 cheaper than MiniMax M2?

MiniMax M2 is 4.7x cheaper for input tokens. GLM-5.3 costs $1.40/M input and $4.40/M output via z. MiniMax M2 costs $0.30/M input and $1.20/M output via minimax.

What are the context window sizes for GLM-5.3 and MiniMax M2?

GLM-5.3 supports 1.0M tokens and MiniMax M2 supports 1.0M 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 M2?

Key differences include input pricing ($1.40 vs $0.30/M), licensing (Unknown vs MIT). See the full comparison above for benchmark-by-benchmark results.

Who makes GLM-5.3 and MiniMax M2?

GLM-5.3 is developed by Zhipu AI and MiniMax M2 is developed by MiniMax.