Battle of the Models
Compare specific LLM models, context windows, and capabilities.
Moonshot Kimi K2
A-TIERGroq
Intelligence Score
85/100
Model Popularity
0 votes
Context Window
1k RPD, 10k TPM
Pricing Model
Free / Open
Llama 3.1 405B
S-TIERVenice.ai
Intelligence Score
91/100
Context Window
128K tokens
Pricing Model
Free / Open
Model Popularity
0 votes
FINAL VERDICT
Llama 3.1 405B Wins
With an intelligence score of 91/100 vs 85/100, Llama 3.1 405B outperforms Moonshot Kimi K2 by 6 points.
HEAD-TO-HEAD
Detailed Comparison
| Feature |
Moonshot Kimi K2
|
Llama 3.1 405B
|
|---|---|---|
|
Context Window
|
1k RPD, 10k TPM | 128K tokens |
|
Architecture
|
Transformer | Transformer (Open Weight) |
|
Est. MMLU Score
|
~80-84% | ~85-87% |
|
Release Date
|
2024 | Jul 2024 |
|
Pricing Model
|
Free Tier | Free Tier |
|
Rate Limit (RPM)
|
30 RPM, 14.4k RPD | 10 RPM (free tier) |
|
Daily Limit
|
14,400 Requests/Day | Limited daily usage |
|
Capabilities
|
No specific data
|
Reasoning
|
|
Performance Tier
|
A-Tier (Excellent) | A-Tier (Excellent) |
|
Speed Estimate
|
Medium | 🐢 Slower (Reasoning) |
|
Primary Use Case
|
General Purpose | General Purpose |
|
Model Size
|
Undisclosed | 405B |
|
Limitations
|
|
|
|
Key Strengths
|
|
|
Similar Comparisons
Moonshot Kimi K2
vs
Meta: Llama 3.3 70B Instruct (free)
Llama 3.1 405B
vs
Meta: Llama 3.3 70B Instruct (free)
Moonshot Kimi K2
vs
NVIDIA: Llama 3.1 Nemotron 70B (free)
Llama 3.1 405B
vs
NVIDIA: Llama 3.1 Nemotron 70B (free)
Moonshot Kimi K2
vs
DeepSeek: R1 Distill Llama 70B (free)
Llama 3.1 405B
vs
DeepSeek: R1 Distill Llama 70B (free)
Llama 3.1 405B
vs
Llama 3.2 3B
Llama 3.1 405B
vs
Llama 3.1 (Any Size)
Llama 3.1 405B
vs
Llama 3.2 11B Vision
Llama 3.1 405B
vs
Llama 3.1 8B Instruct
Llama 3.1 405B
vs
meta/llama-3-70b-instruct
Llama 3.1 405B
vs
Llama 3.3 70B Instruct