Model Comparison

DeepSeek R1 Distill Llama 8B vs GPT-4.5

Both models are evenly matched across the benchmarks.

Want to compare interactively?Try the playground

Performance Benchmarks

Comparative analysis across standard metrics

2 benchmarks

DeepSeek R1 Distill Llama 8B outperforms in 1 benchmarks (AIME 2024), while GPT-4.5 is better at 1 benchmark (GPQA).

Both models are evenly matched across the benchmarks.

Tue May 05 2026 • llm-stats.com

Arena Performance

Human preference votes

Context Window

Maximum input and output token capacity

Only GPT-4.5 specifies input context (128,000 tokens). Only GPT-4.5 specifies output context (4,096 tokens).

DeepSeek
DeepSeek R1 Distill Llama 8B
Input- tokens
Output- tokens
OpenAI
GPT-4.5
Input128,000 tokens
Output4,096 tokens
Tue May 05 2026 • llm-stats.com

Input Capabilities

Supported data types and modalities

GPT-4.5 supports multimodal inputs, whereas DeepSeek R1 Distill Llama 8B does not.

GPT-4.5 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-4.5

Text
Images
Audio
Video

License

Usage and distribution terms

DeepSeek R1 Distill Llama 8B is licensed under MIT, while GPT-4.5 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-4.5

Proprietary

Closed source

Release Timeline

When each model was launched

DeepSeek R1 Distill Llama 8B was released on 2025-01-20, while GPT-4.5 was released on 2025-02-27.

GPT-4.5 is 1 month newer than DeepSeek R1 Distill Llama 8B.

DeepSeek R1 Distill Llama 8B

Jan 20, 2025

1.3 years ago

GPT-4.5

Feb 27, 2025

1.2 years ago

1mo 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
Has open weights
Higher AIME 2024 score (80.0% vs 36.7%)
OpenAI
Larger context window (128,000 tokens)
Supports multimodal inputs
Higher GPQA score (69.5% vs 49.0%)

Detailed Comparison

AI Model Comparison Table
Feature
DeepSeek
DeepSeek R1 Distill Llama 8B
OpenAI
GPT-4.5

FAQ

Common questions about DeepSeek R1 Distill Llama 8B vs GPT-4.5.

Which is better, DeepSeek R1 Distill Llama 8B or GPT-4.5?

Both models are evenly matched across the benchmarks. DeepSeek R1 Distill Llama 8B is made by DeepSeek and GPT-4.5 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-4.5 in benchmarks?

DeepSeek R1 Distill Llama 8B scores MATH-500: 89.1%, AIME 2024: 80.0%, GPQA: 49.0%, LiveCodeBench: 39.6%. GPT-4.5 scores GSM8k: 97.0%, MMLU: 90.8%, CharXiv-D: 90.0%, IFEval: 88.2%, HumanEval: 88.0%.

What are the context window sizes for DeepSeek R1 Distill Llama 8B and GPT-4.5?

DeepSeek R1 Distill Llama 8B supports an unknown number of tokens and GPT-4.5 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-4.5?

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-4.5?

DeepSeek R1 Distill Llama 8B is developed by DeepSeek and GPT-4.5 is developed by OpenAI.