Model Comparison

MiniMax M2.1 vs Qwen2.5-Coder 32B Instruct

MiniMax M2.1 significantly outperforms across most benchmarks. Qwen2.5-Coder 32B Instruct is 5.8x cheaper per token.

Performance Benchmarks

Comparative analysis across standard metrics

2 benchmarks

MiniMax M2.1 outperforms in 2 benchmarks (LiveCodeBench, MMLU-Pro), while Qwen2.5-Coder 32B Instruct is better at 0 benchmarks.

MiniMax M2.1 significantly outperforms across most benchmarks.

Tue Apr 14 2026 • llm-stats.com

Arena Performance

Human preference votes

Pricing Analysis

Price comparison per million tokens

Qwen2.5-Coder 32B Instruct costs less

For input processing, MiniMax M2.1 ($0.30/1M tokens) is 3.3x more expensive than Qwen2.5-Coder 32B Instruct ($0.09/1M tokens).

For output processing, MiniMax M2.1 ($1.20/1M tokens) is 13.3x more expensive than Qwen2.5-Coder 32B Instruct ($0.09/1M tokens).

In conclusion, MiniMax M2.1 is more expensive than Qwen2.5-Coder 32B Instruct.*

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

Lowest available price from all providers
Tue Apr 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-Coder 32B Instruct
Input tokens$0.09
Output tokens$0.09
Best providerLambda
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Model Size

Parameter count comparison

198.0B diff

MiniMax M2.1 has 198.0B more parameters than Qwen2.5-Coder 32B Instruct, making it 618.8% larger.

MiniMax
MiniMax M2.1
230.0Bparameters
Alibaba Cloud / Qwen Team
Qwen2.5-Coder 32B Instruct
32.0Bparameters
230.0B
MiniMax M2.1
32.0B
Qwen2.5-Coder 32B Instruct

Context Window

Maximum input and output token capacity

MiniMax M2.1 accepts 1,000,000 input tokens compared to Qwen2.5-Coder 32B Instruct's 128,000 tokens. MiniMax M2.1 can generate longer responses up to 1,000,000 tokens, while Qwen2.5-Coder 32B Instruct is limited to 128,000 tokens.

MiniMax
MiniMax M2.1
Input1,000,000 tokens
Output1,000,000 tokens
Alibaba Cloud / Qwen Team
Qwen2.5-Coder 32B Instruct
Input128,000 tokens
Output128,000 tokens
Tue Apr 14 2026 • llm-stats.com

License

Usage and distribution terms

MiniMax M2.1 is licensed under MIT, while Qwen2.5-Coder 32B Instruct uses Apache 2.0.

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

MiniMax M2.1

MIT

Open weights

Qwen2.5-Coder 32B Instruct

Apache 2.0

Open weights

Release Timeline

When each model was launched

MiniMax M2.1 was released on 2025-12-23, while Qwen2.5-Coder 32B Instruct was released on 2024-09-19.

MiniMax M2.1 is 15 months newer than Qwen2.5-Coder 32B Instruct.

MiniMax M2.1

Dec 23, 2025

3 months ago

1.3yr newer
Qwen2.5-Coder 32B Instruct

Sep 19, 2024

1.6 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-Coder 32B Instruct is available from Lambda, DeepInfra, Hyperbolic, Fireworks.

MiniMax M2.1

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

Qwen2.5-Coder 32B Instruct

lambda logo
Lambda
Input Price:Input: $0.09/1MOutput Price:Output: $0.09/1M
deepinfra logo
Deepinfra
Input Price:Input: $0.18/1MOutput Price:Output: $0.18/1M
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
* Prices shown are per million tokens

Outputs Comparison

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Key Takeaways

Larger context window (1,000,000 tokens)
Higher LiveCodeBench score (78.0% vs 31.4%)
Higher MMLU-Pro score (88.0% vs 50.4%)
Less expensive input tokens
Less expensive output tokens

Detailed Comparison

AI Model Comparison Table
Feature
MiniMax
MiniMax M2.1
Alibaba Cloud / Qwen Team
Qwen2.5-Coder 32B Instruct

FAQ

Common questions about MiniMax M2.1 vs Qwen2.5-Coder 32B Instruct

MiniMax M2.1 significantly outperforms across most benchmarks. MiniMax M2.1 is made by MiniMax and Qwen2.5-Coder 32B Instruct is made by Alibaba Cloud / Qwen Team. The best choice depends on your use case — compare their benchmark scores, pricing, and capabilities above.
MiniMax M2.1 scores VIBE Web: 91.5%, VIBE Android: 89.7%, VIBE: 88.6%, MMLU-Pro: 88.0%, VIBE iOS: 88.0%. Qwen2.5-Coder 32B Instruct scores HumanEval: 92.7%, GSM8k: 91.1%, MBPP: 90.2%, HellaSwag: 83.0%, Winogrande: 80.8%.
Qwen2.5-Coder 32B Instruct is 3.3x cheaper for input tokens. MiniMax M2.1 costs $0.30/M input and $1.20/M output via minimax. Qwen2.5-Coder 32B Instruct costs $0.09/M input and $0.09/M output via lambda.
MiniMax M2.1 supports 1.0M tokens and Qwen2.5-Coder 32B Instruct supports 128K 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 128K), input pricing ($0.30 vs $0.09/M), licensing (MIT vs Apache 2.0). See the full comparison above for benchmark-by-benchmark results.
MiniMax M2.1 is developed by MiniMax and Qwen2.5-Coder 32B Instruct is developed by Alibaba Cloud / Qwen Team.