Battle of the Models

Compare specific LLM models, context windows, and capabilities.

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VS
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Llama 3.2 11B Vision

A-TIER

Hugging Face Inference

Intelligence Score 82/100
Model Popularity 0 votes
Context Window 128k
Pricing Model Free / Open
View Provider Analysis →

Qwen 2.5 7B Instruct (free)

OpenRouter

Intelligence Score 79/100
Context Window 32k
Pricing Model Free / Open
Model Popularity 0 votes
View Provider Analysis →
FINAL VERDICT

Llama 3.2 11B Vision Wins

With an intelligence score of 82/100 vs 79/100, Llama 3.2 11B Vision outperforms Qwen 2.5 7B Instruct (free) by 3 points.

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

Detailed Comparison

Feature
Llama 3.2 11B Vision
Qwen 2.5 7B Instruct (free)
Context Window
128k 32k
Architecture
Transformer (Open Weight) Transformer (Open Weight)
Est. MMLU Score
~75-79% ~70-74%
Release Date
Sep 2024 Sep-Nov 2024
Pricing Model
Free Tier Free Tier
Rate Limit (RPM)
300 Requests / hour 20 requests/minute
Daily Limit
Dependent on global load 50 requests/day (up to 1000 with $10 topup)
Capabilities
Text Vision
No specific data
Performance Tier
B-Tier (Strong) B-Tier (Strong)
Speed Estimate
Medium ⚡ Very Fast
Primary Use Case
👁️ Vision & Multimodal General Purpose
Model Size
11B 7B
Limitations
  • Rate limited to ~300 request/hour for free users
  • Models larger than 10GB may not load
  • Cold starts can occur
  • Limits depend on account history/topup
  • Community key models
  • Free models have lower priority during peak demand
Key Strengths
  • Serverless Inference
  • Instant Model Loading
  • Text Generation
  • Unified API for 100+ models from all providers
  • OpenAI-compatible endpoint (drop-in replacement)
  • Automatic model fallback and routing

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