Model Comparison
DeepSeek R1 Distill Llama 70B vs Phi 4Which is better in 2026?
DeepSeek R1 Distill Llama 70B significantly outperforms across most benchmarks. Phi 4 is 2.0x cheaper per token.
Verdict: DeepSeek R1 Distill Llama 70B vs Phi 4 — which is better?
DeepSeek R1 Distill Llama 70B (by DeepSeek) and Phi 4 (by Microsoft) 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 Phi 4 is better at 0 benchmarks. DeepSeek R1 Distill Llama 70B significantly outperforms across most benchmarks.
On price, Phi 4 is roughly 2.0x 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
- you process long inputs — it offers a 128,000 token context window
- you want the most recent training data — it shipped Jan 2025
Choose Phi 4 if…
- cost matters — it's about 2.0x cheaper per token
Performance Benchmarks
Comparative analysis across standard metrics
DeepSeek R1 Distill Llama 70B outperforms in 1 benchmarks (GPQA), while Phi 4 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 1.4x more expensive than Phi 4 ($0.07/1M tokens).
For output processing, DeepSeek R1 Distill Llama 70B ($0.40/1M tokens) is 2.9x more expensive than Phi 4 ($0.14/1M tokens).
In conclusion, DeepSeek R1 Distill Llama 70B is more expensive than Phi 4.*
* Using a 3:1 ratio of input to output tokens
Model Size
Parameter count comparison
DeepSeek R1 Distill Llama 70B has 55.9B more parameters than Phi 4, making it 380.3% larger.
Context Window
Maximum input and output token capacity
DeepSeek R1 Distill Llama 70B accepts 128,000 input tokens compared to Phi 4's 16,000 tokens. DeepSeek R1 Distill Llama 70B can generate longer responses up to 128,000 tokens, while Phi 4 is limited to 16,000 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
DeepSeek R1 Distill Llama 70B was released on 2025-01-20, while Phi 4 was released on 2024-12-12.
DeepSeek R1 Distill Llama 70B is 1 month newer than Phi 4.
Jan 20, 2025
1.4 years ago
1mo newerDec 12, 2024
1.5 years ago
Knowledge Cutoff
When training data ends
Phi 4 has a documented knowledge cutoff of 2024-06-01, while DeepSeek R1 Distill Llama 70B's cutoff date is not specified.
We can confirm Phi 4's training data extends to 2024-06-01, but cannot make a direct comparison without DeepSeek R1 Distill Llama 70B's cutoff date.
—
Jun 2024
Provider Availability
DeepSeek R1 Distill Llama 70B is available from DeepInfra. Phi 4 is available from DeepInfra.
DeepSeek R1 Distill Llama 70B
Phi 4
Outputs Comparison
Key Takeaways
Phi 4
View detailsMicrosoft
Detailed Comparison
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FAQ
Common questions about DeepSeek R1 Distill Llama 70B vs Phi 4.