Model Comparison
DeepSeek R1 Distill Llama 70B vs GPT-5Which is better in 2026?
GPT-5 significantly outperforms across most benchmarks. DeepSeek R1 Distill Llama 70B is 19.6x cheaper per token.
Verdict: DeepSeek R1 Distill Llama 70B vs GPT-5 — which is better?
DeepSeek R1 Distill Llama 70B (by DeepSeek) and GPT-5 (by OpenAI) are two of the AI models people compare most. Here is how they stack up on benchmarks, price and capabilities, and which one to pick in 2026.
DeepSeek R1 Distill Llama 70B outperforms in 0 benchmarks, while GPT-5 is better at 1 benchmark (GPQA). GPT-5 significantly outperforms across most benchmarks.
On price, DeepSeek R1 Distill Llama 70B is roughly 19.6x cheaper per token on a blended 3:1 input/output basis, which adds up quickly at production volume.
GPT-5 also accepts a larger context window (400,000 input tokens), making it the stronger choice for long documents and large codebases.
Choose DeepSeek R1 Distill Llama 70B if…
- cost matters — it's about 19.6x cheaper per token
- you need open weights you can self-host or fine-tune
Choose GPT-5 if…
- you want the strongest raw capability — it leads on 1 of 1 shared benchmarks
- you process long inputs — it offers a 400,000 token context window
- you want the most recent training data — it shipped Aug 2025
Performance Benchmarks
Comparative analysis across standard metrics
DeepSeek R1 Distill Llama 70B outperforms in 0 benchmarks, while GPT-5 is better at 1 benchmark (GPQA).
GPT-5 significantly outperforms across most benchmarks.
Arena Performance
Human preference votes
Pricing Analysis
Price comparison per million tokens
For input processing, DeepSeek R1 Distill Llama 70B ($0.10/1M tokens) is 12.5x cheaper than GPT-5 ($1.25/1M tokens).
For output processing, DeepSeek R1 Distill Llama 70B ($0.40/1M tokens) is 25.0x cheaper than GPT-5 ($10.00/1M tokens).
In conclusion, GPT-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
GPT-5 accepts 400,000 input tokens compared to DeepSeek R1 Distill Llama 70B's 128,000 tokens. Both models can generate responses up to 128,000 tokens.
Input Capabilities
Supported data types and modalities
GPT-5 supports multimodal inputs, whereas DeepSeek R1 Distill Llama 70B does not.
GPT-5 can handle both text and other forms of data like images, making it suitable for multimodal applications.
DeepSeek R1 Distill Llama 70B
GPT-5
License
Usage and distribution terms
DeepSeek R1 Distill Llama 70B is licensed under MIT, while GPT-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-5 was released on 2025-08-07.
GPT-5 is 7 months newer than DeepSeek R1 Distill Llama 70B.
Jan 20, 2025
1.4 years ago
Aug 7, 2025
10 months ago
6mo newerKnowledge Cutoff
When training data ends
GPT-5 has a documented knowledge cutoff of 2024-09-30, while DeepSeek R1 Distill Llama 70B's cutoff date is not specified.
We can confirm GPT-5's training data extends to 2024-09-30, but cannot make a direct comparison without DeepSeek R1 Distill Llama 70B's cutoff date.
—
Sep 2024
Provider Availability
DeepSeek R1 Distill Llama 70B is available from DeepInfra. GPT-5 is available from OpenAI.
DeepSeek R1 Distill Llama 70B
GPT-5
Outputs Comparison
Key Takeaways
GPT-5
View detailsOpenAI
Detailed Comparison
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FAQ
Common questions about DeepSeek R1 Distill Llama 70B vs GPT-5.