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

Qwen3.6 35B A3B

Hetzner Inference API

Intelligence Score 65/100
Context Window 262K
Pricing Model Free / Open
Model Popularity 0 votes
FINAL VERDICT

Llama 3.2 3B Instruct Wins

With an intelligence score of 75/100 vs 65/100, Llama 3.2 3B Instruct outperforms Qwen3.6 35B A3B by 10 points.

HEAD-TO-HEAD

Detailed Comparison

Feature
Llama 3.2 3B Instruct
Qwen3.6 35B A3B
Context Window
128K 262K
Architecture
Transformer (Open Weight) Transformer (Open Weight)
Est. MMLU Score
~70-74% ~60-64%
Release Date
Sep 2024 2024
Pricing Model
Free Tier Free Tier
Rate Limit (RPM)
Varies by model 3M input / 60K output tokens per 60s
Daily Limit
10,000 neurons/day 500M input / 5M output tokens per 24h
Capabilities
No specific data
Vision Reasoning
Performance Tier
B-Tier (Strong) C-Tier (Good)
Speed Estimate
Medium Medium
Primary Use Case
General Purpose General Purpose
Model Size
3B 35B
Limitations
  • 10,000 neurons/day cap (varies per model)
  • Larger models consume more neurons per request
  • No fine-tuning support
  • Experimental — no SLA, could be discontinued or paywalled at any time
  • Only one model currently offered
  • No official uptime/support guarantees
Key Strengths
  • Edge inference: runs closest to user
  • 50+ models: LLM, image gen, classification, speech
  • Workers integration for serverless apps
  • OpenAI-compatible endpoint — swap base_url + key
  • EU data residency
  • MoE model with 262K context and image input

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