Battle of the Models

Compare specific LLM models, context windows, and capabilities.

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Llama 3.2 3B Instruct

Cloudflare Workers AI

Intelligence Score 75/100
Model Popularity 0 votes
Context Window 128K
Pricing Model Free / Open

Qwen 2.5 7B Instruct (free)

OpenRouter

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

Qwen 2.5 7B Instruct (free) Wins

With an intelligence score of 79/100 vs 75/100, Qwen 2.5 7B Instruct (free) outperforms Llama 3.2 3B Instruct by 4 points.

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

Detailed Comparison

Feature
Llama 3.2 3B Instruct
Qwen 2.5 7B Instruct (free)
Context Window
128K 32k
Architecture
Transformer (Open Weight) Transformer (Open Weight)
Est. MMLU Score
~70-74% ~70-74%
Release Date
Sep 2024 Sep-Nov 2024
Pricing Model
Free Tier Free Tier
Rate Limit (RPM)
Varies by model 20 requests/minute
Daily Limit
10,000 neurons/day 50 requests/day (up to 1000 with $10 topup)
Capabilities
No specific data
No specific data
Performance Tier
B-Tier (Strong) B-Tier (Strong)
Speed Estimate
Medium ⚡ Very Fast
Primary Use Case
General Purpose General Purpose
Model Size
3B 7B
Limitations
  • 10,000 neurons/day cap (varies per model)
  • Larger models consume more neurons per request
  • No fine-tuning support
  • Limits depend on account history/topup
  • Community key models
  • Free models have lower priority during peak demand
Key Strengths
  • Edge inference: runs closest to user
  • 50+ models: LLM, image gen, classification, speech
  • Workers integration for serverless apps
  • Unified API for 100+ models from all providers
  • OpenAI-compatible endpoint (drop-in replacement)
  • Automatic model fallback and routing

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