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DeepSeek R1 Distill Llama 8B vs GPT-4.5

GPT-4.5 leads the LLM Stats Score 20.3 to 7.2.

DeepSeek · OpenAI · Updated for 2026

Which is better?

GPT-4.5 leads the overall LLM Stats Score 20.3 to 7.2, ranking #186 overall.

The models split the 2 individual benchmarks reported for both models evenly.

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 GPT-4.5

  • overall performance matters — it scores 20.3 and ranks #186 on LLM Stats
  • your work emphasizes reasoning — it leads those capability indexes
  • you want the most recent training data — it shipped Feb 2025

At a glance

The differences that matter most.

Core performance indexes
7.2
#278
20.3
#186
7.5
#269
20.6
#176
2.7
#216
6.1
#185
Cost, coverage & limits
Benchmark wins
1 of 2
1 of 2
Input price
— / M
$75.00 / M
Output price
— / M
$150.00 / M
Context window
128,000

Capability indexes

Additional strengths measured across groups of related public benchmarks

1 shared
Index
DeepSeek R1 Distill Llama 8B
GPT-4.5
10.9#239
20.7#147
Conservative TrueSkill rating · higher is betterHow scores work

Individual benchmarks

4 reported for DeepSeek R1 Distill Llama 8B · 26 for GPT-4.5

2 shared

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.

Thu Sep 03 2026 • llm-stats.com

Human preference

Blind head-to-head votes and playground preference scores

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
Thu Sep 03 2026 • llm-stats.com

Input capabilities

Documented input modalities across available providers

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

1.6 years ago

GPT-4.5

Feb 27, 2025

1.5 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

Judge for yourself.

Run your own prompts against DeepSeek R1 Distill Llama 8B and GPT-4.5 side-by-side, then vote on the output you prefer.

DeepSeek R1 Distill Llama 8B
✓ Preferred
GPT-4.5
Open in Playground

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?

GPT-4.5 leads the LLM Stats Score 20.3 to 7.2. 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 capability indexes, individual benchmarks, pricing, and limits 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 LLM Stats Score (7.2 vs 20.3), 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.