Model Comparison

DeepSeek R1 Distill Qwen 14B vs MiniMax M2

MiniMax M2 significantly outperforms across most benchmarks.

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Performance Benchmarks

Comparative analysis across standard metrics

2 benchmarks

DeepSeek R1 Distill Qwen 14B outperforms in 0 benchmarks, while MiniMax M2 is better at 2 benchmarks (GPQA, LiveCodeBench).

MiniMax M2 significantly outperforms across most benchmarks.

Wed Apr 15 2026 • llm-stats.com

Arena Performance

Human preference votes

Pricing Analysis

Price comparison per million tokens

Cost data unavailable.

Lowest available price from all providers
Wed Apr 15 2026 • llm-stats.com
DeepSeek
DeepSeek R1 Distill Qwen 14B
Input tokens$0.00
Output tokens$0.00
Best providerUnknown Organization
MiniMax
MiniMax M2
Input tokens$0.30
Output tokens$1.20
Best providerMiniMax
Notice missing or incorrect data?Start an Issue→

Model Size

Parameter count comparison

215.2B diff

MiniMax M2 has 215.2B more parameters than DeepSeek R1 Distill Qwen 14B, making it 1454.1% larger.

DeepSeek
DeepSeek R1 Distill Qwen 14B
14.8Bparameters
MiniMax
MiniMax M2
230.0Bparameters
14.8B
DeepSeek R1 Distill Qwen 14B
230.0B
MiniMax M2

Context Window

Maximum input and output token capacity

Only MiniMax M2 specifies input context (1,000,000 tokens). Only MiniMax M2 specifies output context (1,000,000 tokens).

DeepSeek
DeepSeek R1 Distill Qwen 14B
Input- tokens
Output- tokens
MiniMax
MiniMax M2
Input1,000,000 tokens
Output1,000,000 tokens
Wed Apr 15 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.

DeepSeek R1 Distill Qwen 14B

MIT

Open weights

MiniMax M2

MIT

Open weights

Release Timeline

When each model was launched

DeepSeek R1 Distill Qwen 14B was released on 2025-01-20, while MiniMax M2 was released on 2025-10-27.

MiniMax M2 is 9 months newer than DeepSeek R1 Distill Qwen 14B.

DeepSeek R1 Distill Qwen 14B

Jan 20, 2025

1.2 years ago

MiniMax M2

Oct 27, 2025

5 months ago

9mo newer

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

DeepSeek
MiniMax
Larger context window (1,000,000 tokens)
Higher GPQA score (78.0% vs 59.1%)
Higher LiveCodeBench score (83.0% vs 53.1%)

Detailed Comparison

AI Model Comparison Table
Feature
DeepSeek
DeepSeek R1 Distill Qwen 14B
MiniMax
MiniMax M2

FAQ

Common questions about DeepSeek R1 Distill Qwen 14B vs MiniMax M2

MiniMax M2 significantly outperforms across most benchmarks. DeepSeek R1 Distill Qwen 14B is made by DeepSeek and MiniMax M2 is made by MiniMax. The best choice depends on your use case — compare their benchmark scores, pricing, and capabilities above.
DeepSeek R1 Distill Qwen 14B scores MATH-500: 93.9%, AIME 2024: 80.0%, GPQA: 59.1%, LiveCodeBench: 53.1%. MiniMax M2 scores Tau2 Telecom: 87.0%, LiveCodeBench: 83.0%, MMLU-Pro: 82.0%, AIME 2025: 78.0%, GPQA: 78.0%.
DeepSeek R1 Distill Qwen 14B supports an unknown number of tokens and MiniMax M2 supports 1.0M tokens. A larger context window lets you process longer documents, conversations, or codebases in a single request.
DeepSeek R1 Distill Qwen 14B is developed by DeepSeek and MiniMax M2 is developed by MiniMax.