Model Comparison
DeepSeek R1 Distill Llama 70B vs Llama 3.1 70B InstructWhich is better in 2026?
DeepSeek R1 Distill Llama 70B significantly outperforms across most benchmarks. DeepSeek R1 Distill Llama 70B is 1.1x cheaper per token.
Verdict: DeepSeek R1 Distill Llama 70B vs Llama 3.1 70B Instruct — which is better?
DeepSeek R1 Distill Llama 70B (by DeepSeek) and Llama 3.1 70B Instruct (by Meta) 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 Llama 3.1 70B Instruct is better at 0 benchmarks. DeepSeek R1 Distill Llama 70B significantly outperforms across most benchmarks.
On price, DeepSeek R1 Distill Llama 70B is roughly 1.1x cheaper per token on a blended 3:1 input/output basis, which adds up quickly at production volume.
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 1.1x cheaper per token
- you want the most recent training data — it shipped Jan 2025
Choose Llama 3.1 70B Instruct if…
- you want predictable pricing at $0.20/M input and $0.20/M output
Performance Benchmarks
Comparative analysis across standard metrics
DeepSeek R1 Distill Llama 70B outperforms in 1 benchmarks (GPQA), while Llama 3.1 70B Instruct 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 2.0x cheaper than Llama 3.1 70B Instruct ($0.20/1M tokens).
For output processing, DeepSeek R1 Distill Llama 70B ($0.40/1M tokens) is 2.0x more expensive than Llama 3.1 70B Instruct ($0.20/1M tokens).
In conclusion, Llama 3.1 70B Instruct is more expensive than DeepSeek R1 Distill Llama 70B.*
* Using a 3:1 ratio of input to output tokens
Model Size
Parameter count comparison
DeepSeek R1 Distill Llama 70B has 0.6B more parameters than Llama 3.1 70B Instruct, making it 0.9% larger.
Context Window
Maximum input and output token capacity
Both models have the same input context window of 128,000 tokens. Both models can generate responses up to 128,000 tokens.
License
Usage and distribution terms
DeepSeek R1 Distill Llama 70B is licensed under MIT, while Llama 3.1 70B Instruct uses Llama 3.1 Community License.
License differences may affect how you can use these models in commercial or open-source projects.
MIT
Open weights
Llama 3.1 Community License
Open weights
Release Timeline
When each model was launched
DeepSeek R1 Distill Llama 70B was released on 2025-01-20, while Llama 3.1 70B Instruct was released on 2024-07-23.
DeepSeek R1 Distill Llama 70B is 6 months newer than Llama 3.1 70B Instruct.
Jan 20, 2025
1.4 years ago
6mo newerJul 23, 2024
1.9 years ago
Knowledge 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. Llama 3.1 70B Instruct is available from Lambda, DeepInfra, Hyperbolic, Groq, Cerebras, Together, Fireworks, Bedrock, Sambanova.
DeepSeek R1 Distill Llama 70B
Llama 3.1 70B Instruct
Outputs Comparison
Key Takeaways
Detailed Comparison
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FAQ
Common questions about DeepSeek R1 Distill Llama 70B vs Llama 3.1 70B Instruct.