Model Comparison

GLM-5 vs MiniMax M1 40KWhich is better in 2026?

GLM-5 significantly outperforms across most benchmarks.

Verdict: GLM-5 vs MiniMax M1 40K — which is better?

GLM-5 (by Zhipu AI) and MiniMax M1 40K (by MiniMax) are two of the AI models people compare most. Here is how they stack up on benchmarks, price and capabilities, and which one to pick in 2026.

GLM-5 outperforms in 1 benchmarks (SWE-Bench Verified), while MiniMax M1 40K is better at 0 benchmarks. GLM-5 significantly outperforms across most benchmarks.

Choose GLM-5 if…

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

Choose MiniMax M1 40K if…

  • you are already invested in the MiniMax ecosystem
Want to compare interactively?Try the playground

Performance Benchmarks

Comparative analysis across standard metrics

1 benchmarks

GLM-5 outperforms in 1 benchmarks (SWE-Bench Verified), while MiniMax M1 40K is better at 0 benchmarks.

GLM-5 significantly outperforms across most benchmarks.

Wed Jun 10 2026 • llm-stats.com

Arena Performance

Human preference votes

Model Size

Parameter count comparison

288.0B diff

GLM-5 has 288.0B more parameters than MiniMax M1 40K, making it 63.2% larger.

Zhipu AI
GLM-5
744.0Bparameters
MiniMax
MiniMax M1 40K
456.0Bparameters
744.0B
GLM-5
456.0B
MiniMax M1 40K

Context Window

Maximum input and output token capacity

Only GLM-5 specifies input context (200,000 tokens). Only GLM-5 specifies output context (128,000 tokens).

Zhipu AI
GLM-5
Input200,000 tokens
Output128,000 tokens
MiniMax
MiniMax M1 40K
Input- tokens
Output- tokens
Wed Jun 10 2026 • llm-stats.com

License

Usage and distribution terms

Both models are licensed under MIT.

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

GLM-5

MIT

Open weights

MiniMax M1 40K

MIT

Open weights

Release Timeline

When each model was launched

GLM-5 was released on 2026-02-11, while MiniMax M1 40K was released on 2025-06-16.

GLM-5 is 8 months newer than MiniMax M1 40K.

GLM-5

Feb 11, 2026

3 months ago

8mo newer
MiniMax M1 40K

Jun 16, 2025

11 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

Outputs Comparison

Notice missing or incorrect data?Start an Issue discussion→

Key Takeaways

Zhipu AI
Larger context window (200,000 tokens)
Higher SWE-Bench Verified score (77.8% vs 55.6%)
MiniMax

No standout differentiators in the data we have for this pair.

Detailed Comparison

AI Model Comparison Table
Feature
Zhipu AI
GLM-5
MiniMax
MiniMax M1 40K

FAQ

Common questions about GLM-5 vs MiniMax M1 40K.

Which is better, GLM-5 or MiniMax M1 40K?

GLM-5 significantly outperforms across most benchmarks. GLM-5 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 compare to MiniMax M1 40K in benchmarks?

GLM-5 scores t2-bench: 89.7%, SWE-Bench Verified: 77.8%, BrowseComp: 75.9%, MCP Atlas: 67.8%, Terminal-Bench 2.0: 56.2%. 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 and MiniMax M1 40K?

GLM-5 supports 200K 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.

Who makes GLM-5 and MiniMax M1 40K?

GLM-5 is developed by Zhipu AI and MiniMax M1 40K is developed by MiniMax.

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