Model Comparison

GLM-5 vs MiniMax M2.1

GLM-5 significantly outperforms across most benchmarks. MiniMax M2.1 is 3.0x cheaper per token.

Want to compare interactively?Try the playground

Performance Benchmarks

Comparative analysis across standard metrics

2 benchmarks

GLM-5 outperforms in 2 benchmarks (BrowseComp, SWE-Bench Verified), while MiniMax M2.1 is better at 0 benchmarks.

GLM-5 significantly outperforms across most benchmarks.

Sat Apr 18 2026 • llm-stats.com

Arena Performance

Human preference votes

Pricing Analysis

Price comparison per million tokens

MiniMax M2.1 costs less

For input processing, GLM-5 ($1.00/1M tokens) is 3.3x more expensive than MiniMax M2.1 ($0.30/1M tokens).

For output processing, GLM-5 ($3.20/1M tokens) is 2.7x more expensive than MiniMax M2.1 ($1.20/1M tokens).

In conclusion, GLM-5 is more expensive than MiniMax M2.1.*

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

Lowest available price from all providers
Sat Apr 18 2026 • llm-stats.com
Zhipu AI
GLM-5
Input tokens$1.00
Output tokens$3.20
Best providerUnknown Organization
MiniMax
MiniMax M2.1
Input tokens$0.30
Output tokens$1.20
Best providerMiniMax
Notice missing or incorrect data?Start an Issue→

Model Size

Parameter count comparison

514.0B diff

GLM-5 has 514.0B more parameters than MiniMax M2.1, making it 223.5% larger.

Zhipu AI
GLM-5
744.0Bparameters
MiniMax
MiniMax M2.1
230.0Bparameters
744.0B
GLM-5
230.0B
MiniMax M2.1

Context Window

Maximum input and output token capacity

MiniMax M2.1 accepts 1,000,000 input tokens compared to GLM-5's 200,000 tokens. MiniMax M2.1 can generate longer responses up to 1,000,000 tokens, while GLM-5 is limited to 128,000 tokens.

Zhipu AI
GLM-5
Input200,000 tokens
Output128,000 tokens
MiniMax
MiniMax M2.1
Input1,000,000 tokens
Output1,000,000 tokens
Sat Apr 18 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 M2.1

MIT

Open weights

Release Timeline

When each model was launched

GLM-5 was released on 2026-02-11, while MiniMax M2.1 was released on 2025-12-23.

GLM-5 is 2 months newer than MiniMax M2.1.

GLM-5

Feb 11, 2026

2 months ago

1mo newer
MiniMax M2.1

Dec 23, 2025

3 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 is available from ZAI. MiniMax M2.1 is available from MiniMax.

GLM-5

z logo
Unknown Organization
Input Price:Input: $1.00/1MOutput Price:Output: $3.20/1M

MiniMax M2.1

minimax logo
MiniMax
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→

Key Takeaways

Zhipu AI
Higher BrowseComp score (75.9% vs 62.0%)
Higher SWE-Bench Verified score (77.8% vs 67.0%)
MiniMax
Larger context window (1,000,000 tokens)
Less expensive input tokens
Less expensive output tokens

Detailed Comparison

AI Model Comparison Table
Feature
Zhipu AI
GLM-5
MiniMax
MiniMax M2.1

FAQ

Common questions about GLM-5 vs MiniMax M2.1

GLM-5 significantly outperforms across most benchmarks. GLM-5 is made by Zhipu AI and MiniMax M2.1 is made by MiniMax. The best choice depends on your use case — compare their benchmark scores, pricing, and capabilities above.
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 M2.1 scores VIBE Web: 91.5%, VIBE Android: 89.7%, VIBE: 88.6%, MMLU-Pro: 88.0%, VIBE iOS: 88.0%.
MiniMax M2.1 is 3.3x cheaper for input tokens. GLM-5 costs $1.00/M input and $3.20/M output via z. MiniMax M2.1 costs $0.30/M input and $1.20/M output via minimax.
GLM-5 supports 200K tokens and MiniMax M2.1 supports 1.0M tokens. A larger context window lets you process longer documents, conversations, or codebases in a single request.
Key differences include context window (200K vs 1.0M), input pricing ($1.00 vs $0.30/M). See the full comparison above for benchmark-by-benchmark results.
GLM-5 is developed by Zhipu AI and MiniMax M2.1 is developed by MiniMax.