Model Comparison

MiniMax M2 vs QwQ-32B-Preview

MiniMax M2 significantly outperforms across most benchmarks. QwQ-32B-Preview is 3.2x cheaper per token.

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Performance Benchmarks

Comparative analysis across standard metrics

2 benchmarks

MiniMax M2 outperforms in 2 benchmarks (GPQA, LiveCodeBench), while QwQ-32B-Preview is better at 0 benchmarks.

MiniMax M2 significantly outperforms across most benchmarks.

Tue Apr 21 2026 • llm-stats.com

Arena Performance

Human preference votes

Pricing Analysis

Price comparison per million tokens

QwQ-32B-Preview costs less

For input processing, MiniMax M2 ($0.30/1M tokens) is 2.0x more expensive than QwQ-32B-Preview ($0.15/1M tokens).

For output processing, MiniMax M2 ($1.20/1M tokens) is 6.0x more expensive than QwQ-32B-Preview ($0.20/1M tokens).

In conclusion, MiniMax M2 is more expensive than QwQ-32B-Preview.*

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

Lowest available price from all providers
Tue Apr 21 2026 • llm-stats.com
MiniMax
MiniMax M2
Input tokens$0.30
Output tokens$1.20
Best providerMiniMax
Alibaba Cloud / Qwen Team
QwQ-32B-Preview
Input tokens$0.15
Output tokens$0.20
Best providerDeepinfra
Notice missing or incorrect data?Start an Issue→

Model Size

Parameter count comparison

197.5B diff

MiniMax M2 has 197.5B more parameters than QwQ-32B-Preview, making it 607.7% larger.

MiniMax
MiniMax M2
230.0Bparameters
Alibaba Cloud / Qwen Team
QwQ-32B-Preview
32.5Bparameters
230.0B
MiniMax M2
32.5B
QwQ-32B-Preview

Context Window

Maximum input and output token capacity

MiniMax M2 accepts 1,000,000 input tokens compared to QwQ-32B-Preview's 32,768 tokens. MiniMax M2 can generate longer responses up to 1,000,000 tokens, while QwQ-32B-Preview is limited to 32,768 tokens.

MiniMax
MiniMax M2
Input1,000,000 tokens
Output1,000,000 tokens
Alibaba Cloud / Qwen Team
QwQ-32B-Preview
Input32,768 tokens
Output32,768 tokens
Tue Apr 21 2026 • llm-stats.com

License

Usage and distribution terms

MiniMax M2 is licensed under MIT, while QwQ-32B-Preview uses Apache 2.0.

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

MiniMax M2

MIT

Open weights

QwQ-32B-Preview

Apache 2.0

Open weights

Release Timeline

When each model was launched

MiniMax M2 was released on 2025-10-27, while QwQ-32B-Preview was released on 2024-11-28.

MiniMax M2 is 11 months newer than QwQ-32B-Preview.

MiniMax M2

Oct 27, 2025

5 months ago

11mo newer
QwQ-32B-Preview

Nov 28, 2024

1.4 years ago

Knowledge Cutoff

When training data ends

QwQ-32B-Preview has a documented knowledge cutoff of 2024-11-28, while MiniMax M2's cutoff date is not specified.

We can confirm QwQ-32B-Preview's training data extends to 2024-11-28, but cannot make a direct comparison without MiniMax M2's cutoff date.

MiniMax M2

—

QwQ-32B-Preview

Nov 2024

Provider Availability

MiniMax M2 is available from MiniMax, Novita. QwQ-32B-Preview is available from DeepInfra, Hyperbolic, Fireworks, Together.

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

QwQ-32B-Preview

deepinfra logo
Deepinfra
Input Price:Input: $0.15/1MOutput Price:Output: $0.60/1M
hyperbolic logo
Hyperbolic
Input Price:Input: $0.20/1MOutput Price:Output: $0.20/1M
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

MiniMax
Larger context window (1,000,000 tokens)
Higher GPQA score (78.0% vs 65.2%)
Higher LiveCodeBench score (83.0% vs 50.0%)
Alibaba Cloud / Qwen Team

QwQ-32B-Preview

View details

Alibaba Cloud / Qwen Team

Less expensive input tokens
Less expensive output tokens

Detailed Comparison

AI Model Comparison Table
Feature
MiniMax
MiniMax M2
Alibaba Cloud / Qwen Team
QwQ-32B-Preview

FAQ

Common questions about MiniMax M2 vs QwQ-32B-Preview

MiniMax M2 significantly outperforms across most benchmarks. MiniMax M2 is made by MiniMax and QwQ-32B-Preview is made by Alibaba Cloud / Qwen Team. The best choice depends on your use case — compare their benchmark scores, pricing, and capabilities above.
MiniMax M2 scores Tau2 Telecom: 87.0%, LiveCodeBench: 83.0%, MMLU-Pro: 82.0%, AIME 2025: 78.0%, GPQA: 78.0%. QwQ-32B-Preview scores MATH-500: 90.6%, GPQA: 65.2%, AIME 2024: 50.0%, LiveCodeBench: 50.0%.
QwQ-32B-Preview is 2.0x cheaper for input tokens. MiniMax M2 costs $0.30/M input and $1.20/M output via minimax. QwQ-32B-Preview costs $0.15/M input and $0.20/M output via deepinfra.
MiniMax M2 supports 1.0M tokens and QwQ-32B-Preview supports 33K tokens. A larger context window lets you process longer documents, conversations, or codebases in a single request.
Key differences include context window (1.0M vs 33K), input pricing ($0.30 vs $0.15/M), licensing (MIT vs Apache 2.0). See the full comparison above for benchmark-by-benchmark results.
MiniMax M2 is developed by MiniMax and QwQ-32B-Preview is developed by Alibaba Cloud / Qwen Team.