Model Comparison

DeepSeek R1 Distill Llama 8B vs GPT-4o

Both models are evenly matched across the benchmarks.

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Performance Benchmarks

Comparative analysis across standard metrics

2 benchmarks

DeepSeek R1 Distill Llama 8B outperforms in 1 benchmarks (AIME 2024), while GPT-4o is better at 1 benchmark (GPQA).

Both models are evenly matched across the benchmarks.

Wed May 06 2026 • llm-stats.com

Arena Performance

Human preference votes

Context Window

Maximum input and output token capacity

Only GPT-4o specifies input context (128,000 tokens). Only GPT-4o specifies output context (16,384 tokens).

DeepSeek
DeepSeek R1 Distill Llama 8B
Input- tokens
Output- tokens
OpenAI
GPT-4o
Input128,000 tokens
Output16,384 tokens
Wed May 06 2026 • llm-stats.com

Input Capabilities

Supported data types and modalities

GPT-4o supports multimodal inputs, whereas DeepSeek R1 Distill Llama 8B does not.

GPT-4o 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

GPT-4o

Text
Images
Audio
Video

License

Usage and distribution terms

DeepSeek R1 Distill Llama 8B is licensed under MIT, while GPT-4o 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

GPT-4o

Proprietary

Closed source

Release Timeline

When each model was launched

DeepSeek R1 Distill Llama 8B was released on 2025-01-20, while GPT-4o was released on 2024-08-06.

DeepSeek R1 Distill Llama 8B is 6 months newer than GPT-4o.

DeepSeek R1 Distill Llama 8B

Jan 20, 2025

1.3 years ago

5mo newer
GPT-4o

Aug 6, 2024

1.7 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

Notice missing or incorrect data?Start an Issue discussion→

Key Takeaways

DeepSeek
Has open weights
Higher AIME 2024 score (80.0% vs 13.1%)
OpenAI
Larger context window (128,000 tokens)
Supports multimodal inputs
Higher GPQA score (70.1% vs 49.0%)

Detailed Comparison

AI Model Comparison Table
Feature
DeepSeek
DeepSeek R1 Distill Llama 8B
OpenAI
GPT-4o

FAQ

Common questions about DeepSeek R1 Distill Llama 8B vs GPT-4o.

Which is better, DeepSeek R1 Distill Llama 8B or GPT-4o?

Both models are evenly matched across the benchmarks. DeepSeek R1 Distill Llama 8B is made by DeepSeek and GPT-4o is made by OpenAI. The best choice depends on your use case — compare their benchmark scores, pricing, and capabilities above.

How does DeepSeek R1 Distill Llama 8B compare to GPT-4o in benchmarks?

DeepSeek R1 Distill Llama 8B scores MATH-500: 89.1%, AIME 2024: 80.0%, GPQA: 49.0%, LiveCodeBench: 39.6%. GPT-4o scores AI2D: 94.2%, DocVQA: 92.8%, ChartQA: 85.7%, MMLU: 85.7%, CharXiv-D: 85.3%.

What are the context window sizes for DeepSeek R1 Distill Llama 8B and GPT-4o?

DeepSeek R1 Distill Llama 8B supports an unknown number of tokens and GPT-4o supports 128K 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 GPT-4o?

Key differences include 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 GPT-4o?

DeepSeek R1 Distill Llama 8B is developed by DeepSeek and GPT-4o is developed by OpenAI.