Battle of the Models

Compare specific LLM models, context windows, and capabilities.

No matches found
VS
No matches found

Qwen 2.5

LLM7.io

Intelligence Score 65/100
Model Popularity 0 votes
Context Window 32K
Pricing Model Free / Open
View Provider Analysis →

Llama 4 Scout 17B

A-TIER

Cloudflare Workers AI

Intelligence Score 87/100
Context Window 131K Context
Pricing Model Free / Open
Model Popularity 0 votes
View Provider Analysis →
FINAL VERDICT

Llama 4 Scout 17B Wins

With an intelligence score of 87/100 vs 65/100, Llama 4 Scout 17B outperforms Qwen 2.5 by 22 points.

Clear Winner: Significant performance advantage for Llama 4 Scout 17B.
HEAD-TO-HEAD

Detailed Comparison

Feature
Qwen 2.5
Llama 4 Scout 17B
Context Window
32K 131K Context
Architecture
Transformer (Open Weight) Transformer (Open Weight)
Est. MMLU Score
~60-64% ~80-84%
Release Date
Sep-Nov 2024 2026 (Latest)
Pricing Model
Free Tier Free Tier
Rate Limit (RPM)
30 RPM (no signup) / 120 RPM (free email token) Varies by model
Daily Limit
Up to 5M tokens/day (rolling 24h, with free token) 10,000 neurons/day
Capabilities
No specific data
No specific data
Performance Tier
C-Tier (Good) A-Tier (Excellent)
Speed Estimate
Medium ⚡ Very Fast
Primary Use Case
General Purpose General Purpose
Model Size
Undisclosed 17B
Limitations
  • No signup tier is heavily rate-limited (30 RPM)
  • Smaller, less well-known provider — verify uptime before production use
  • 10,000 neurons/day cap (varies per model)
  • Larger models consume more neurons per request
  • No fine-tuning support
Key Strengths
  • Works with zero signup
  • OpenAI-compatible endpoint — swap base_url + key
  • No signup required for basic use
  • Edge inference: runs closest to user
  • 50+ models: LLM, image gen, classification, speech
  • Workers integration for serverless apps

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