Model Comparison
DeepSeek R1 Distill Llama 70B vs DeepSeek-R1Which is better in 2026?
Comparing DeepSeek R1 Distill Llama 70B and DeepSeek-R1 across benchmarks, pricing, and capabilities.
Verdict: DeepSeek R1 Distill Llama 70B vs DeepSeek-R1 — which is better?
DeepSeek R1 Distill Llama 70B (by DeepSeek) and DeepSeek-R1 (by DeepSeek) 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.
On price, DeepSeek R1 Distill Llama 70B is roughly 5.5x cheaper per token on a blended 3:1 input/output basis, which adds up quickly at production volume.
DeepSeek-R1 also accepts a larger context window (131,072 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 5.5x cheaper per token
Choose DeepSeek-R1 if…
- you process long inputs — it offers a 131,072 token context window
Performance Benchmarks
Comparative analysis across standard metrics
DeepSeek R1 Distill Llama 70B and DeepSeek-R1don't have any common benchmark datasets to compare. They may have been evaluated on different testing suites.
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 5.5x cheaper than DeepSeek-R1 ($0.55/1M tokens).
For output processing, DeepSeek R1 Distill Llama 70B ($0.40/1M tokens) is 5.5x cheaper than DeepSeek-R1 ($2.19/1M tokens).
In conclusion, DeepSeek-R1 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 has 600.4B more parameters than DeepSeek R1 Distill Llama 70B, making it 850.4% larger.
Context Window
Maximum input and output token capacity
DeepSeek-R1 accepts 131,072 input tokens compared to DeepSeek R1 Distill Llama 70B's 128,000 tokens. DeepSeek-R1 can generate longer responses up to 131,072 tokens, while DeepSeek R1 Distill Llama 70B is limited to 128,000 tokens.
License
Usage and distribution terms
Both models are licensed under MIT.
Both models share the same licensing terms, providing consistent usage rights.
MIT
Open weights
MIT
Open weights
Release Timeline
When each model was launched
Both models were released on 2025-01-20.
They likely represent similar generations of model development.
Jan 20, 2025
1.4 years ago
Jan 20, 2025
1.4 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. DeepSeek-R1 is available from DeepSeek, DeepInfra, Together, Fireworks.
DeepSeek R1 Distill Llama 70B
DeepSeek-R1
Outputs Comparison
Key Takeaways
DeepSeek-R1
View detailsDeepSeek
Detailed Comparison
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FAQ
Common questions about DeepSeek R1 Distill Llama 70B vs DeepSeek-R1.