DeepSeek R1 Distill Llama 8B vs o1-mini Comparison

Comparing DeepSeek R1 Distill Llama 8B and o1-mini across benchmarks, pricing, and capabilities.

Performance Benchmarks

Comparative analysis across standard metrics

2 benchmarks

DeepSeek R1 Distill Llama 8B outperforms in 0 benchmarks, while o1-mini is better at 2 benchmarks (GPQA, MATH-500).

o1-mini significantly outperforms across most benchmarks.

Fri Mar 20 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
Fri Mar 20 2026 • llm-stats.com
DeepSeek
DeepSeek R1 Distill Llama 8B
Input tokens$0.00
Output tokens$0.00
Best providerUnknown Organization
OpenAI
o1-mini
Input tokens$3.00
Output tokens$12.00
Best providerOpenAI
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Context Window

Maximum input and output token capacity

Only o1-mini specifies input context (128,000 tokens). Only o1-mini specifies output context (65,536 tokens).

DeepSeek
DeepSeek R1 Distill Llama 8B
Input- tokens
Output- tokens
OpenAI
o1-mini
Input128,000 tokens
Output65,536 tokens
Fri Mar 20 2026 • llm-stats.com

License

Usage and distribution terms

DeepSeek R1 Distill Llama 8B is licensed under MIT, while o1-mini uses a proprietary license.

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

DeepSeek R1 Distill Llama 8B

MIT

Open weights

o1-mini

Proprietary

Closed source

Release Timeline

When each model was launched

DeepSeek R1 Distill Llama 8B was released on 2025-01-20, while o1-mini was released on 2024-09-12.

DeepSeek R1 Distill Llama 8B is 4 months newer than o1-mini.

DeepSeek R1 Distill Llama 8B

Jan 20, 2025

1.2 years ago

4mo newer
o1-mini

Sep 12, 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

Outputs Comparison

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Key Takeaways

Larger context window (128,000 tokens)
Higher GPQA score (60.0% vs 49.0%)
Higher MATH-500 score (90.0% vs 89.1%)

Detailed Comparison

AI Model Comparison Table
Feature
DeepSeek
DeepSeek R1 Distill Llama 8B
OpenAI
o1-mini