Battle of the Models
Compare specific LLM models, context windows, and capabilities.
Mixtral 8x22B Instruct
A-TIERDeepInfra
Intelligence Score
89/100
Model Popularity
0 votes
Context Window
64K
Pricing Model
Commercial / Paid
Llama 3.2 11B Vision
A-TIERHugging Face Inference
Intelligence Score
82/100
Context Window
128k
Pricing Model
Free / Open
Model Popularity
0 votes
FINAL VERDICT
Mixtral 8x22B Instruct Wins
With an intelligence score of 89/100 vs 82/100, Mixtral 8x22B Instruct outperforms Llama 3.2 11B Vision by 7 points.
HEAD-TO-HEAD
Detailed Comparison
| Feature |
Mixtral 8x22B Instruct
|
Llama 3.2 11B Vision
|
|---|---|---|
|
Context Window
|
64K | 128k |
|
Architecture
|
Mixture of Experts (MoE) | Transformer (Open Weight) |
|
Est. MMLU Score
|
~80-84% | ~75-79% |
|
Release Date
|
2024 | Sep 2024 |
|
Pricing Model
|
Paid / Commercial | Free Tier |
|
Rate Limit (RPM)
|
60 RPM (varies by model) | 300 Requests / hour |
|
Daily Limit
|
Credit-based (no daily cap) | Dependent on global load |
|
Capabilities
|
Reasoning
Multilingual
|
Text
Vision
|
|
Performance Tier
|
A-Tier (Excellent) | B-Tier (Strong) |
|
Speed Estimate
|
Medium | Medium |
|
Primary Use Case
|
General Purpose | 👁️ Vision & Multimodal |
|
Model Size
|
22B | 11B |
|
Limitations
|
|
|
|
Key Strengths
|
|
|
Similar Comparisons
Mixtral 8x22B Instruct
vs
Meta: Llama 3.3 70B Instruct (free)
Llama 3.2 11B Vision
vs
Meta: Llama 3.3 70B Instruct (free)
Mixtral 8x22B Instruct
vs
NVIDIA: Llama 3.1 Nemotron 70B (free)
Llama 3.2 11B Vision
vs
NVIDIA: Llama 3.1 Nemotron 70B (free)
Mixtral 8x22B Instruct
vs
DeepSeek: R1 Distill Llama 70B (free)
Llama 3.2 11B Vision
vs
DeepSeek: R1 Distill Llama 70B (free)
Llama 3.2 11B Vision
vs
Mixtral 8x7B
Llama 3.2 11B Vision
vs
Llama 3.2 3B
Llama 3.2 11B Vision
vs
Llama 3.1 (Any Size)
Llama 3.2 11B Vision
vs
Llama 3.1 8B Instruct
Llama 3.2 11B Vision
vs
Qwen 2.5 72B Instruct
Llama 3.2 11B Vision
vs
Gemma 2 9B Instruct