Battle of the Models
Compare specific LLM models, context windows, and capabilities.
Llama 4 Scout 17B
A-TIERCloudflare Workers AI
Intelligence Score
87/100
Model Popularity
0 votes
Context Window
131K Context
Pricing Model
Free / Open
Qwen3 235B A22B Instruct 2507
Nebius (Token Factory)
Intelligence Score
76/100
Context Window
256K Context
Pricing Model
Free / Open
Model Popularity
0 votes
FINAL VERDICT
Llama 4 Scout 17B Wins
With an intelligence score of 87/100 vs 76/100, Llama 4 Scout 17B outperforms Qwen3 235B A22B Instruct 2507 by 11 points.
HEAD-TO-HEAD
Detailed Comparison
| Feature |
Llama 4 Scout 17B
|
Qwen3 235B A22B Instruct 2507
|
|---|---|---|
|
Context Window
|
131K Context | 256K Context |
|
Architecture
|
Transformer (Open Weight) | Transformer (Open Weight) |
|
Est. MMLU Score
|
~80-84% | ~70-74% |
|
Release Date
|
2026 (Latest) | 2024 |
|
Pricing Model
|
Free Tier | Free Tier |
|
Rate Limit (RPM)
|
Varies by model | 60 RPM |
|
Daily Limit
|
10,000 neurons/day | Credit-based |
|
Capabilities
|
No specific data
|
No specific data
|
|
Performance Tier
|
A-Tier (Excellent) | B-Tier (Strong) |
|
Speed Estimate
|
⚡ Very Fast | Medium |
|
Primary Use Case
|
General Purpose | General Purpose |
|
Model Size
|
17B | 235B |
|
Limitations
|
|
|
|
Key Strengths
|
|
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