DeepSeek R1 Distill Llama 70B vs GPT-4.5
DeepSeek R1 Distill Llama 70B and GPT-4.5 are closely matched at 14.5 and 20.2 on the LLM Stats Score. DeepSeek R1 Distill Llama 70B is 535.7x cheaper per token.
DeepSeek · OpenAI · Updated for 2026
Which is better?
DeepSeek R1 Distill Llama 70B and GPT-4.5 are closely matched on the overall LLM Stats Score at 14.5 and 20.2.
The models split the 2 individual benchmarks reported for both models evenly.
On price, DeepSeek R1 Distill Llama 70B is roughly 535.7x cheaper per token on a blended 3:1 input/output basis, which adds up quickly at production volume.
Based on current LLM Stats indexes, shared benchmarks, pricing, and model metadata for 2026.
Choose DeepSeek R1 Distill Llama 70B
- cost matters — it's about 535.7x cheaper per token
- you need open weights you can self-host or fine-tune
Choose GPT-4.5
- you want the most recent training data — it shipped Feb 2025
At a glance
The differences that matter most.
Capability indexes
Additional strengths measured across groups of related public benchmarks
Individual benchmarks
4 reported for DeepSeek R1 Distill Llama 70B · 26 for GPT-4.5
DeepSeek R1 Distill Llama 70B outperforms in 1 benchmarks (AIME 2024), while GPT-4.5 is better at 1 benchmark (GPQA).
Both models are evenly matched across the benchmarks.
Human preference
Blind head-to-head votes and playground preference scores
Pricing Analysis
Price comparison per million tokens
For input processing, DeepSeek R1 Distill Llama 70B ($0.10/1M tokens) is 750.0x cheaper than GPT-4.5 ($75.00/1M tokens).
For output processing, DeepSeek R1 Distill Llama 70B ($0.40/1M tokens) is 375.0x cheaper than GPT-4.5 ($150.00/1M tokens).
In conclusion, GPT-4.5 is more expensive than DeepSeek R1 Distill Llama 70B.*
* Using a 3:1 ratio of input to output tokens
Context Window
Maximum input and output token capacity
Both models have the same input context window of 128,000 tokens. DeepSeek R1 Distill Llama 70B can generate longer responses up to 128,000 tokens, while GPT-4.5 is limited to 4,096 tokens.
Input capabilities
Documented input modalities across available providers
GPT-4.5 supports multimodal inputs, whereas DeepSeek R1 Distill Llama 70B 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 70B
GPT-4.5
License
Usage and distribution terms
DeepSeek R1 Distill Llama 70B 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.
MIT
Open weights
Proprietary
Closed source
Release Timeline
When each model was launched
DeepSeek R1 Distill Llama 70B 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 70B.
Jan 20, 2025
1.6 years ago
Feb 27, 2025
1.5 years ago
1mo newerKnowledge Cutoff
When training data ends
Neither model specifies a knowledge cutoff date.
Unable to compare the recency of their training data.
Provider Availability
DeepSeek R1 Distill Llama 70B is available from DeepInfra. GPT-4.5 is available from OpenAI.
DeepSeek R1 Distill Llama 70B
GPT-4.5
Outputs Comparison
Judge for yourself.
Run your own prompts against DeepSeek R1 Distill Llama 70B and GPT-4.5 side-by-side, then vote on the output you prefer.
FAQ
Common questions about DeepSeek R1 Distill Llama 70B vs GPT-4.5.