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 3.1 8B
Groq
Intelligence Score
78/100
Context Window
14.4k RPD, 6k TPM
Pricing Model
Free / Open
Model Popularity
0 votes
FINAL VERDICT
Mixtral 8x22B Instruct Wins
With an intelligence score of 89/100 vs 78/100, Mixtral 8x22B Instruct outperforms Llama 3.1 8B by 11 points.
HEAD-TO-HEAD
Detailed Comparison
| Feature |
Mixtral 8x22B Instruct
|
Llama 3.1 8B
|
|---|---|---|
|
Context Window
|
64K | 14.4k RPD, 6k TPM |
|
Architecture
|
Mixture of Experts (MoE) | Transformer (Open Weight) |
|
Est. MMLU Score
|
~80-84% | ~70-74% |
|
Release Date
|
2024 | Jul 2024 |
|
Pricing Model
|
Paid / Commercial | Free Tier |
|
Rate Limit (RPM)
|
60 RPM (varies by model) | 30 RPM, 14.4k RPD |
|
Daily Limit
|
Credit-based (no daily cap) | 14,400 Requests/Day |
|
Capabilities
|
Reasoning
Multilingual
|
No specific data
|
|
Performance Tier
|
A-Tier (Excellent) | B-Tier (Strong) |
|
Speed Estimate
|
Medium | ⚡ Very Fast |
|
Primary Use Case
|
General Purpose | General Purpose |
|
Model Size
|
22B | 8B |
|
Limitations
|
|
|
|
Key Strengths
|
|
|
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meta/llama-3-70b-instruct