DeepSeek R1 Distill Llama 70B vs Phi 4
DeepSeek R1 Distill Llama 70B leads the LLM Stats Score 14.5 to 5.4. Phi 4 is 2.0x cheaper per token.
DeepSeek · Microsoft · Updated for 2026
Which is better?
DeepSeek R1 Distill Llama 70B leads the overall LLM Stats Score 14.5 to 5.4, ranking #235 overall.
In the 1 individual benchmarks reported for both models, DeepSeek R1 Distill Llama 70B wins 1; this is a narrower head-to-head signal than the composite indexes.
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.
Based on current LLM Stats indexes, shared benchmarks, pricing, and model metadata for 2026.
Choose DeepSeek R1 Distill Llama 70B
- overall performance matters — it scores 14.5 and ranks #235 on LLM Stats
- your work emphasizes reasoning — it leads those capability indexes
- you value its reported benchmark strengths — it wins 1 of 1 exact shared results
- 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
- cost matters — it's about 2.0x cheaper per token
At a glance
The differences that matter most.
Capability indexes
Additional strengths measured across groups of related public benchmarks
Individual benchmarks
4 reported for DeepSeek R1 Distill Llama 70B · 13 for Phi 4
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.
Human preference
Blind head-to-head votes and playground preference scores
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 16,384 tokens. DeepSeek R1 Distill Llama 70B can generate longer responses up to 128,000 tokens, while Phi 4 is limited to 16,384 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
1.7 years ago
1mo newerDec 12, 2024
1.8 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
Judge for yourself.
Run your own prompts against DeepSeek R1 Distill Llama 70B and Phi 4 side-by-side, then vote on the output you prefer.
FAQ
Common questions about DeepSeek R1 Distill Llama 70B vs Phi 4.