Model Comparison
DeepSeek R1 Distill Llama 70B vs GPT-3.5 TurboWhich is better in 2026?
DeepSeek R1 Distill Llama 70B significantly outperforms across most benchmarks. DeepSeek R1 Distill Llama 70B is 4.3x cheaper per token.
Verdict: DeepSeek R1 Distill Llama 70B vs GPT-3.5 Turbo — which is better?
DeepSeek R1 Distill Llama 70B (by DeepSeek) and GPT-3.5 Turbo (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 1 benchmarks (GPQA), while GPT-3.5 Turbo is better at 0 benchmarks. DeepSeek R1 Distill Llama 70B significantly outperforms across most benchmarks.
On price, DeepSeek R1 Distill Llama 70B is roughly 4.3x cheaper per token on a blended 3:1 input/output basis, which adds up quickly at production volume.
DeepSeek R1 Distill Llama 70B also accepts a larger context window (128,000 input tokens), making it the stronger choice for long documents and large codebases.
Choose DeepSeek R1 Distill Llama 70B if…
- you want the strongest raw capability — it leads on 1 of 1 shared benchmarks
- cost matters — it's about 4.3x cheaper per token
- you process long inputs — it offers a 128,000 token context window
- you want the most recent training data — it shipped Jan 2025
- you need open weights you can self-host or fine-tune
Choose GPT-3.5 Turbo if…
- you want predictable pricing at $0.50/M input and $1.50/M output
Performance Benchmarks
Comparative analysis across standard metrics
DeepSeek R1 Distill Llama 70B outperforms in 1 benchmarks (GPQA), while GPT-3.5 Turbo is better at 0 benchmarks.
DeepSeek R1 Distill Llama 70B 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 5.0x cheaper than GPT-3.5 Turbo ($0.50/1M tokens).
For output processing, DeepSeek R1 Distill Llama 70B ($0.40/1M tokens) is 3.8x cheaper than GPT-3.5 Turbo ($1.50/1M tokens).
In conclusion, GPT-3.5 Turbo 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
DeepSeek R1 Distill Llama 70B accepts 128,000 input tokens compared to GPT-3.5 Turbo's 16,385 tokens. DeepSeek R1 Distill Llama 70B can generate longer responses up to 128,000 tokens, while GPT-3.5 Turbo is limited to 4,096 tokens.
License
Usage and distribution terms
DeepSeek R1 Distill Llama 70B is licensed under MIT, while GPT-3.5 Turbo 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-3.5 Turbo was released on 2023-03-21.
DeepSeek R1 Distill Llama 70B is 22 months newer than GPT-3.5 Turbo.
Jan 20, 2025
1.5 years ago
1.8yr newerMar 21, 2023
3.4 years ago
Knowledge Cutoff
When training data ends
GPT-3.5 Turbo has a documented knowledge cutoff of 2021-09-30, while DeepSeek R1 Distill Llama 70B's cutoff date is not specified.
We can confirm GPT-3.5 Turbo's training data extends to 2021-09-30, but cannot make a direct comparison without DeepSeek R1 Distill Llama 70B's cutoff date.
—
Sep 2021
Provider Availability
DeepSeek R1 Distill Llama 70B is available from DeepInfra. GPT-3.5 Turbo is available from Azure, OpenAI.
DeepSeek R1 Distill Llama 70B
GPT-3.5 Turbo
Outputs Comparison
Key Takeaways
No standout differentiators in the data we have for this pair.
Detailed Comparison
Interactive Arena
Judge for yourself.
Run your own prompts against DeepSeek R1 Distill Llama 70B and GPT-3.5 Turbo side-by-side, then vote on the output you prefer.
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FAQ
Common questions about DeepSeek R1 Distill Llama 70B vs GPT-3.5 Turbo.
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