Battle of the Models
Compare specific LLM models, context windows, and capabilities.
DeepSeek Coder V2
A-TIEROllama
Intelligence Score
85/100
Model Popularity
0 votes
Context Window
64K tokens
Pricing Model
Free / Open
Llama 3.1 (Any Size)
LM Studio
Intelligence Score
65/100
Context Window
Varies
Pricing Model
Free / Open
Model Popularity
0 votes
FINAL VERDICT
DeepSeek Coder V2 Wins
With an intelligence score of 85/100 vs 65/100, DeepSeek Coder V2 outperforms Llama 3.1 (Any Size) by 20 points.
Clear Winner: Significant performance advantage for DeepSeek Coder V2.
HEAD-TO-HEAD
Detailed Comparison
| Feature |
DeepSeek Coder V2
|
Llama 3.1 (Any Size)
|
|---|---|---|
|
Context Window
|
64K tokens | Varies |
|
Architecture
|
Dense Transformer | Transformer (Open Weight) |
|
Est. MMLU Score
|
~80-84% | ~60-64% |
|
Release Date
|
2024 | Jul 2024 |
|
Pricing Model
|
Free Tier | Free Tier |
|
Rate Limit (RPM)
|
Hardware limited | Hardware limited |
|
Daily Limit
|
Unlimited | Unlimited |
|
Capabilities
|
No specific data
|
No specific data
|
|
Performance Tier
|
A-Tier (Excellent) | C-Tier (Good) |
|
Speed Estimate
|
Medium | Medium |
|
Primary Use Case
|
💻 Code Generation | General Purpose |
|
Model Size
|
Undisclosed | Undisclosed |
|
Limitations
|
|
|
|
Key Strengths
|
|
|
Similar Comparisons
DeepSeek Coder V2
vs
Meta: Llama 3.3 70B Instruct (free)
Llama 3.1 (Any Size)
vs
Meta: Llama 3.3 70B Instruct (free)
DeepSeek Coder V2
vs
NVIDIA: Llama 3.1 Nemotron 70B (free)
Llama 3.1 (Any Size)
vs
NVIDIA: Llama 3.1 Nemotron 70B (free)
DeepSeek Coder V2
vs
DeepSeek: R1 (free)
Llama 3.1 (Any Size)
vs
DeepSeek: R1 (free)
Llama 3.1 (Any Size)
vs
DeepSeek: R1 Distill Llama 70B (free)
Llama 3.1 (Any Size)
vs
Llama 3.2 3B
Llama 3.1 (Any Size)
vs
Gemma 2 9B
Llama 3.1 (Any Size)
vs
Mistral Nemo 12B
Llama 3.1 (Any Size)
vs
Phi-3.5 Mini
Llama 3.1 (Any Size)
vs
Gemma 2 (Any Size)