Battle of the Models
Compare specific LLM models, context windows, and capabilities.
MiniMax M2.7
A-TIERGroq
Intelligence Score
81/100
Model Popularity
0 votes
Context Window
196K tokens
Pricing Model
Free / Open
Llama 4 Scout 17B
A-TIERCloudflare Workers AI
Intelligence Score
87/100
Context Window
131K Context
Pricing Model
Free / Open
Model Popularity
0 votes
FINAL VERDICT
Llama 4 Scout 17B Wins
With an intelligence score of 87/100 vs 81/100, Llama 4 Scout 17B outperforms MiniMax M2.7 by 6 points.
HEAD-TO-HEAD
Detailed Comparison
| Feature |
MiniMax M2.7
|
Llama 4 Scout 17B
|
|---|---|---|
|
Context Window
|
196K tokens | 131K Context |
|
Architecture
|
Transformer | Transformer (Open Weight) |
|
Est. MMLU Score
|
~75-79% | ~80-84% |
|
Release Date
|
2024 | 2026 (Latest) |
|
Pricing Model
|
Free Tier | Free Tier |
|
Rate Limit (RPM)
|
30 RPM, 14.4k RPD | Varies by model |
|
Daily Limit
|
14,400 Requests/Day | 10,000 neurons/day |
|
Capabilities
|
No specific data
|
No specific data
|
|
Performance Tier
|
B-Tier (Strong) | A-Tier (Excellent) |
|
Speed Estimate
|
⚡ Very Fast | ⚡ Very Fast |
|
Primary Use Case
|
⚡ Fast Chat & Apps | General Purpose |
|
Model Size
|
Undisclosed | 17B |
|
Limitations
|
|
|
|
Key Strengths
|
|
|
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