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DeepSeek R1 Distill Llama 8B vs o4-mini

o4-mini leads the LLM Stats Score 27.7 to 7.1.

DeepSeek · OpenAI · Updated for 2026

Which is better?

o4-mini leads the overall LLM Stats Score 27.7 to 7.1, ranking #132 overall.

In the 2 individual benchmarks reported for both models, o4-mini wins 2; this is a narrower head-to-head signal than the composite indexes.

Based on current LLM Stats indexes, shared benchmarks, pricing, and model metadata for 2026.

Choose DeepSeek R1 Distill Llama 8B

  • you need open weights you can self-host or fine-tune

Choose o4-mini

  • overall performance matters — it scores 27.7 and ranks #132 on LLM Stats
  • your work emphasizes reasoning — it leads those capability indexes
  • you value its reported benchmark strengths — it wins 2 of 2 exact shared results
  • you want the most recent training data — it shipped Apr 2025

At a glance

The differences that matter most.

Core performance indexes
7.1
#279
27.7
#132
7.4
#270
27.8
#124
2.7
#217
12.2
#143
Cost, coverage & limits
Benchmark wins
0 of 2
2 of 2
Input price
— / M
$1.10 / M
Output price
— / M
$4.40 / M
Context window
200,000

Capability indexes

Additional strengths measured across groups of related public benchmarks

1 shared
Index
DeepSeek R1 Distill Llama 8B
o4-mini
10.9#240
27.8#91
Conservative TrueSkill rating · higher is betterHow scores work

Individual benchmarks

4 reported for DeepSeek R1 Distill Llama 8B · 14 for o4-mini

2 shared

DeepSeek R1 Distill Llama 8B outperforms in 0 benchmarks, while o4-mini is better at 2 benchmarks (AIME 2024, GPQA).

o4-mini significantly outperforms across most benchmarks.

Sun Sep 06 2026 • llm-stats.com

Human preference

Blind head-to-head votes and playground preference scores

Context Window

Maximum input and output token capacity

Only o4-mini specifies input context (200,000 tokens). Only o4-mini specifies output context (100,000 tokens).

DeepSeek
DeepSeek R1 Distill Llama 8B
Input- tokens
Output- tokens
OpenAI
o4-mini
Input200,000 tokens
Output100,000 tokens
Sun Sep 06 2026 • llm-stats.com

Input capabilities

Documented input modalities across available providers

o4-mini supports multimodal inputs, whereas DeepSeek R1 Distill Llama 8B does not.

o4-mini can handle both text and other forms of data like images, making it suitable for multimodal applications.

DeepSeek R1 Distill Llama 8B

Text
Images
Audio
Video

o4-mini

Text
Images
Audio
Video

License

Usage and distribution terms

DeepSeek R1 Distill Llama 8B is licensed under MIT, while o4-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

o4-mini

Proprietary

Closed source

Release Timeline

When each model was launched

DeepSeek R1 Distill Llama 8B was released on 2025-01-20, while o4-mini was released on 2025-04-16.

o4-mini is 3 months newer than DeepSeek R1 Distill Llama 8B.

DeepSeek R1 Distill Llama 8B

Jan 20, 2025

1.6 years ago

o4-mini

Apr 16, 2025

1.4 years ago

2mo newer

Knowledge Cutoff

When training data ends

o4-mini has a documented knowledge cutoff of 2024-05-31, while DeepSeek R1 Distill Llama 8B's cutoff date is not specified.

We can confirm o4-mini's training data extends to 2024-05-31, but cannot make a direct comparison without DeepSeek R1 Distill Llama 8B's cutoff date.

DeepSeek R1 Distill Llama 8B

o4-mini

May 2024

Outputs Comparison

Notice missing or incorrect data?Start an Issue discussion

Judge for yourself.

Run your own prompts against DeepSeek R1 Distill Llama 8B and o4-mini side-by-side, then vote on the output you prefer.

DeepSeek R1 Distill Llama 8B
✓ Preferred
o4-mini
Open in Playground

FAQ

Common questions about DeepSeek R1 Distill Llama 8B vs o4-mini.

Which is better, DeepSeek R1 Distill Llama 8B or o4-mini?

o4-mini leads the LLM Stats Score 27.7 to 7.1. DeepSeek R1 Distill Llama 8B is made by DeepSeek and o4-mini is made by OpenAI. The best choice depends on your use case — compare their capability indexes, individual benchmarks, pricing, and limits above.

How does DeepSeek R1 Distill Llama 8B compare to o4-mini in benchmarks?

DeepSeek R1 Distill Llama 8B scores MATH-500: 89.1%, AIME 2024: 80.0%, GPQA: 49.0%, LiveCodeBench: 39.6%. o4-mini scores AIME 2024: 93.4%, AIME 2025: 92.7%, MathVista: 84.3%, MMMU: 81.6%, GPQA: 81.4%.

What are the context window sizes for DeepSeek R1 Distill Llama 8B and o4-mini?

DeepSeek R1 Distill Llama 8B supports an unknown number of tokens and o4-mini supports 200K tokens. A larger context window lets you process longer documents, conversations, or codebases in a single request.

What are the main differences between DeepSeek R1 Distill Llama 8B and o4-mini?

Key differences include LLM Stats Score (7.1 vs 27.7), multimodal support (no vs yes), licensing (MIT vs Proprietary). See the full comparison above for benchmark-by-benchmark results.

Who makes DeepSeek R1 Distill Llama 8B and o4-mini?

DeepSeek R1 Distill Llama 8B is developed by DeepSeek and o4-mini is developed by OpenAI.