Battle of the Models
Compare specific LLM models, context windows, and capabilities.
DeepSeek-R1
S-TIERChutes.ai
Intelligence Score
97/100
Model Popularity
0 votes
Context Window
64K
Pricing Model
Free / Open
Llama 3.1 (Deployable)
Cerebrium
Intelligence Score
65/100
Context Window
128K
Pricing Model
Commercial / Paid
Model Popularity
0 votes
FINAL VERDICT
DeepSeek-R1 Wins
With an intelligence score of 97/100 vs 65/100, DeepSeek-R1 outperforms Llama 3.1 (Deployable) by 32 points.
Clear Winner: Significant performance advantage for DeepSeek-R1.
HEAD-TO-HEAD
Detailed Comparison
| Feature |
DeepSeek-R1
|
Llama 3.1 (Deployable)
|
|---|---|---|
|
Context Window
|
64K | 128K |
|
Architecture
|
Dense Transformer | Transformer (Open Weight) |
|
Est. MMLU Score
|
~92-95% | ~60-64% |
|
Release Date
|
Jan 2025 | Jul 2024 |
|
Pricing Model
|
Free Tier | Paid / Commercial |
|
Rate Limit (RPM)
|
Varies (community capacity) | Pay-per-second compute |
|
Daily Limit
|
Subject to availability | Credit-based |
|
Capabilities
|
Reasoning
|
No specific data
|
|
Performance Tier
|
S-Tier (Elite) | C-Tier (Good) |
|
Speed Estimate
|
🐢 Slower (Reasoning) | Medium |
|
Primary Use Case
|
🧠 Complex Reasoning | General Purpose |
|
Model Size
|
Undisclosed | Undisclosed |
|
Limitations
|
|
|
|
Key Strengths
|
|
|
Similar Comparisons
DeepSeek-R1
vs
Meta: Llama 3.3 70B Instruct (free)
Llama 3.1 (Deployable)
vs
Meta: Llama 3.3 70B Instruct (free)
DeepSeek-R1
vs
NVIDIA: Llama 3.1 Nemotron 70B (free)
Llama 3.1 (Deployable)
vs
NVIDIA: Llama 3.1 Nemotron 70B (free)
DeepSeek-R1
vs
DeepSeek: R1 Distill Llama 70B (free)
Llama 3.1 (Deployable)
vs
DeepSeek: R1 Distill Llama 70B (free)
Llama 3.1 (Deployable)
vs
Llama 3.2 3B
Llama 3.1 (Deployable)
vs
Llama 3.1 (Any Size)
Llama 3.1 (Deployable)
vs
Llama 3.2 11B Vision
Llama 3.1 (Deployable)
vs
Llama 3.1 8B Instruct
Llama 3.1 (Deployable)
vs
meta/llama-3-70b-instruct
Llama 3.1 (Deployable)
vs
Llama 3.3 70B Instruct