The AI arena is free today

Open Superagent

GLM-5.3-Flash vs MiniMax M2

GLM-5.3-Flash significantly outperforms across most benchmarks. GLM-5.3-Flash is 2.2x cheaper per token.

Zhipu AI · MiniMax · Updated for 2026

Which is better?

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

On price, GLM-5.3-Flash is roughly 2.2x 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-Flash

  • you want the strongest raw capability — it leads on 1 of 1 shared benchmarks
  • cost matters — it's about 2.2x cheaper per token
  • you want the most recent training data — it shipped Aug 2026

Choose MiniMax M2

  • you want predictable pricing at $0.30/M input and $1.20/M output

At a glance

The differences that matter most.

GLM-5.3-Flash
Zhipu AI
MiniMax M2
MiniMax
Benchmark wins
1 of 1
0 of 1
Input price
$0.15 / M
$0.30 / M
Output price
$0.50 / M
$1.20 / M
Context window
1,000,000
1,000,000
Released
Aug 2026
Oct 2025
License
MIT
MIT

Performance Benchmarks

Comparative analysis across standard metrics

1 benchmarks

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

GLM-5.3-Flash significantly outperforms across most benchmarks.

Wed Aug 26 2026 • llm-stats.com

Arena Performance

Playground indexes and blind preference scores

Pricing Analysis

Price comparison per million tokens

GLM-5.3-Flash costs less

For input processing, GLM-5.3-Flash ($0.15/1M tokens) is 2.0x cheaper than MiniMax M2 ($0.30/1M tokens).

For output processing, GLM-5.3-Flash ($0.50/1M tokens) is 2.4x cheaper than MiniMax M2 ($1.20/1M tokens).

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

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

Lowest available price from all providers
Wed Aug 26 2026 • llm-stats.com
Zhipu AI
GLM-5.3-Flash
Input tokens$0.15
Output tokens$0.50
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

90.0B diff

GLM-5.3-Flash has 90.0B more parameters than MiniMax M2, making it 39.1% larger.

Zhipu AI
GLM-5.3-Flash
320.0Bparameters
MiniMax
MiniMax M2
230.0Bparameters
320.0B
GLM-5.3-Flash
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-Flash is limited to 131,072 tokens.

Zhipu AI
GLM-5.3-Flash
Input1,000,000 tokens
Output131,072 tokens
MiniMax
MiniMax M2
Input1,000,000 tokens
Output1,000,000 tokens
Wed Aug 26 2026 • llm-stats.com

Input Capabilities

Supported data types and modalities

GLM-5.3-Flash supports multimodal inputs, whereas MiniMax M2 does not.

GLM-5.3-Flash can handle both text and other forms of data like images, making it suitable for multimodal applications.

GLM-5.3-Flash

Text
Images
Audio
Video

MiniMax M2

Text
Images
Audio
Video

License

Usage and distribution terms

Both models are licensed under MIT.

Both models share the same licensing terms, providing consistent usage rights.

GLM-5.3-Flash

MIT

Open weights

MiniMax M2

MIT

Open weights

Release Timeline

When each model was launched

GLM-5.3-Flash was released on 2026-08-26, while MiniMax M2 was released on 2025-10-27.

GLM-5.3-Flash is 10 months newer than MiniMax M2.

GLM-5.3-Flash

Aug 26, 2026

0 days ago

10mo 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-Flash is available from ZAI. MiniMax M2 is available from MiniMax, Novita.

GLM-5.3-Flash

z logo
Unknown Organization
Input Price:Input: $0.15/1MOutput Price:Output: $0.50/1M

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-Flash and MiniMax M2 side-by-side, then vote on the output you prefer.

GLM-5.3-Flash
✓ Preferred
MiniMax M2
Open in Playground

FAQ

Common questions about GLM-5.3-Flash vs MiniMax M2.

Which is better, GLM-5.3-Flash or MiniMax M2?

GLM-5.3-Flash significantly outperforms across most benchmarks. GLM-5.3-Flash 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-Flash compare to MiniMax M2 in benchmarks?

GLM-5.3-Flash scores CharXiv-R: 89.4%, Terminal-Bench 2.1: 84.3%, MMVU: 80.5%, Toolathlon: 78.4%, MVBench: 77.8%. 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-Flash cheaper than MiniMax M2?

GLM-5.3-Flash is 2.0x cheaper for input tokens. GLM-5.3-Flash costs $0.15/M input and $0.50/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-Flash and MiniMax M2?

GLM-5.3-Flash 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-Flash and MiniMax M2?

Key differences include input pricing ($0.15 vs $0.30/M), multimodal support (yes vs no). See the full comparison above for benchmark-by-benchmark results.

Who makes GLM-5.3-Flash and MiniMax M2?

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

Related comparisons