DeepSeek R1 Distill Llama 8B vs MiniMax M1 40K Comparison

Comparing DeepSeek R1 Distill Llama 8B and MiniMax M1 40K across benchmarks, pricing, and capabilities.

Performance Benchmarks

Comparative analysis across standard metrics

4 benchmarks

DeepSeek R1 Distill Llama 8B outperforms in 0 benchmarks, while MiniMax M1 40K is better at 4 benchmarks (AIME 2024, GPQA, LiveCodeBench, MATH-500).

MiniMax M1 40K significantly outperforms across most benchmarks.

Mon Mar 16 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
Mon Mar 16 2026 • llm-stats.com
DeepSeek
DeepSeek R1 Distill Llama 8B
Input tokens$0.00
Output tokens$0.00
Best providerUnknown Organization
MiniMax
MiniMax M1 40K
Input tokens$0.00
Output tokens$0.00
Best providerUnknown Organization
Notice missing or incorrect data?Start an Issue

Model Size

Parameter count comparison

448.0B diff

MiniMax M1 40K has 448.0B more parameters than DeepSeek R1 Distill Llama 8B, making it 5578.7% larger.

DeepSeek
DeepSeek R1 Distill Llama 8B
8.0Bparameters
MiniMax
MiniMax M1 40K
456.0Bparameters
8.0B
DeepSeek R1 Distill Llama 8B
456.0B
MiniMax M1 40K

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 Llama 8B

MIT

Open weights

MiniMax M1 40K

MIT

Open weights

Release Timeline

When each model was launched

DeepSeek R1 Distill Llama 8B was released on 2025-01-20, while MiniMax M1 40K was released on 2025-06-16.

MiniMax M1 40K is 5 months newer than DeepSeek R1 Distill Llama 8B.

DeepSeek R1 Distill Llama 8B

Jan 20, 2025

1.2 years ago

MiniMax M1 40K

Jun 16, 2025

9 months ago

4mo 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

Higher AIME 2024 score (83.3% vs 80.0%)
Higher GPQA score (69.2% vs 49.0%)
Higher LiveCodeBench score (62.3% vs 39.6%)
Higher MATH-500 score (96.0% vs 89.1%)

Detailed Comparison

AI Model Comparison Table
Feature
DeepSeek
DeepSeek R1 Distill Llama 8B
MiniMax
MiniMax M1 40K