Battle of the Models

Compare specific LLM models, context windows, and capabilities.

No matches found
VS
No matches found

Llama 4 Scout

A-TIER

Groq

Intelligence Score 87/100
Model Popularity 0 votes
Context Window 1k RPD, 30k TPM
Pricing Model Free / Open
View Provider Analysis →

Qwen 2.5 VL 72B Instruct (free)

A-TIER

OpenRouter

Intelligence Score 83/100
Context Window 32k
Pricing Model Free / Open
Model Popularity 0 votes
View Provider Analysis →
FINAL VERDICT

Llama 4 Scout Wins

With an intelligence score of 87/100 vs 83/100, Llama 4 Scout outperforms Qwen 2.5 VL 72B Instruct (free) by 4 points.

Close Match: The difference is minimal. Consider other factors like pricing and features.
HEAD-TO-HEAD

Detailed Comparison

Feature
Llama 4 Scout
Qwen 2.5 VL 72B Instruct (free)
Context Window
1k RPD, 30k TPM 32k
Architecture
Transformer (Open Weight) Transformer (Open Weight)
Est. MMLU Score
~80-84% ~75-79%
Release Date
2026 (Latest) Sep-Nov 2024
Pricing Model
Free Tier Free Tier
Rate Limit (RPM)
30 RPM, 14.4k RPD 20 requests/minute
Daily Limit
14,400 Requests/Day 50 requests/day (up to 1000 with $10 topup)
Capabilities
No specific data
No specific data
Performance Tier
A-Tier (Excellent) B-Tier (Strong)
Speed Estimate
⚡ Very Fast ⚡ Fast
Primary Use Case
General Purpose 👁️ Vision & Multimodal
Model Size
Undisclosed 72B
Limitations
  • Test
  • Limits depend on account history/topup
  • Community key models
  • Free models have lower priority during peak demand
Key Strengths
  • LPU Accelerated
  • Extremely Fast Inference
  • Open Source Models
  • Unified API for 100+ models from all providers
  • OpenAI-compatible endpoint (drop-in replacement)
  • Automatic model fallback and routing

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