MiniMax M2.1 vs Qwen2.5 72B Instruct Comparison

Comparing MiniMax M2.1 and Qwen2.5 72B Instruct across benchmarks, pricing, and capabilities.

Performance Benchmarks

Comparative analysis across standard metrics

3 benchmarks

MiniMax M2.1 outperforms in 3 benchmarks (GPQA, LiveCodeBench, MMLU-Pro), while Qwen2.5 72B Instruct is better at 0 benchmarks.

MiniMax M2.1 significantly outperforms across most benchmarks.

Sat Mar 14 2026 • llm-stats.com

Arena Performance

Human preference votes

Pricing Analysis

Price comparison per million tokens

Qwen2.5 72B Instruct costs less

For input processing, MiniMax M2.1 ($0.30/1M tokens) is 1.2x cheaper than Qwen2.5 72B Instruct ($0.35/1M tokens).

For output processing, MiniMax M2.1 ($1.20/1M tokens) is 3.0x more expensive than Qwen2.5 72B Instruct ($0.40/1M tokens).

In conclusion, MiniMax M2.1 is more expensive than Qwen2.5 72B Instruct.*

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

Lowest available price from all providers
Sat Mar 14 2026 • llm-stats.com
MiniMax
MiniMax M2.1
Input tokens$0.30
Output tokens$1.20
Best providerMiniMax
Alibaba Cloud / Qwen Team
Qwen2.5 72B Instruct
Input tokens$0.35
Output tokens$0.40
Best providerDeepinfra
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Model Size

Parameter count comparison

157.3B diff

MiniMax M2.1 has 157.3B more parameters than Qwen2.5 72B Instruct, making it 216.4% larger.

MiniMax
MiniMax M2.1
230.0Bparameters
Alibaba Cloud / Qwen Team
Qwen2.5 72B Instruct
72.7Bparameters
230.0B
MiniMax M2.1
72.7B
Qwen2.5 72B Instruct

Context Window

Maximum input and output token capacity

MiniMax M2.1 accepts 1,000,000 input tokens compared to Qwen2.5 72B Instruct's 131,072 tokens. MiniMax M2.1 can generate longer responses up to 1,000,000 tokens, while Qwen2.5 72B Instruct is limited to 8,192 tokens.

MiniMax
MiniMax M2.1
Input1,000,000 tokens
Output1,000,000 tokens
Alibaba Cloud / Qwen Team
Qwen2.5 72B Instruct
Input131,072 tokens
Output8,192 tokens
Sat Mar 14 2026 • llm-stats.com

License

Usage and distribution terms

MiniMax M2.1 is licensed under MIT, while Qwen2.5 72B Instruct uses Qwen.

License differences may affect how you can use these models in commercial or open-source projects.

MiniMax M2.1

MIT

Open weights

Qwen2.5 72B Instruct

Qwen

Open weights

Release Timeline

When each model was launched

MiniMax M2.1 was released on 2025-12-23, while Qwen2.5 72B Instruct was released on 2024-09-19.

MiniMax M2.1 is 15 months newer than Qwen2.5 72B Instruct.

MiniMax M2.1

Dec 23, 2025

2 months ago

1.3yr newer
Qwen2.5 72B Instruct

Sep 19, 2024

1.5 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

Provider Availability

MiniMax M2.1 is available from MiniMax. Qwen2.5 72B Instruct is available from DeepInfra, Hyperbolic, Fireworks, Together. The availability of providers can affect quality of the model and reliability.

MiniMax M2.1

minimax logo
MiniMax
Input Price:Input: $0.30/1MOutput Price:Output: $1.20/1M

Qwen2.5 72B Instruct

deepinfra logo
Deepinfra
Input Price:Input: $0.35/1MOutput Price:Output: $0.40/1M
hyperbolic logo
Hyperbolic
Input Price:Input: $0.40/1MOutput Price:Output: $0.40/1M
fireworks logo
Fireworks
Input Price:Input: $0.89/1MOutput Price:Output: $0.89/1M
together logo
Together
Input Price:Input: $1.20/1MOutput Price:Output: $1.20/1M
* Prices shown are per million tokens

Outputs Comparison

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Key Takeaways

Larger context window (1,000,000 tokens)
Less expensive input tokens
Higher GPQA score (81.0% vs 49.0%)
Higher LiveCodeBench score (78.0% vs 55.5%)
Higher MMLU-Pro score (88.0% vs 71.1%)
Alibaba Cloud / Qwen Team

Qwen2.5 72B Instruct

View details

Alibaba Cloud / Qwen Team

Less expensive output tokens

Detailed Comparison

AI Model Comparison Table
Feature
MiniMax
MiniMax M2.1
Alibaba Cloud / Qwen Team
Qwen2.5 72B Instruct