Battle of the Models

Compare specific LLM models, context windows, and capabilities.

No matches found
VS
No matches found

Qwen 1.5 7B Chat

Cloudflare Workers AI

Intelligence Score 71/100
Model Popularity 0 votes
Context Window 32K
Pricing Model Free / Open

Gemma 2 9B Instruct

A-TIER

Hugging Face Inference

Intelligence Score 80/100
Context Window 8k
Pricing Model Free / Open
Model Popularity 0 votes
FINAL VERDICT

Gemma 2 9B Instruct Wins

With an intelligence score of 80/100 vs 71/100, Gemma 2 9B Instruct outperforms Qwen 1.5 7B Chat by 9 points.

HEAD-TO-HEAD

Detailed Comparison

Feature
Qwen 1.5 7B Chat
Gemma 2 9B Instruct
Context Window
32K 8k
Architecture
Transformer (Open Weight) Transformer
Est. MMLU Score
~65-69% ~75-79%
Release Date
2024 2024
Pricing Model
Free Tier Free Tier
Rate Limit (RPM)
Varies by model 300 Requests / hour
Daily Limit
10,000 neurons/day Dependent on global load
Capabilities
Chinese
No specific data
Performance Tier
C-Tier (Good) B-Tier (Strong)
Speed Estimate
⚡ Very Fast Medium
Primary Use Case
General Purpose General Purpose
Model Size
7B 9B
Limitations
  • 10,000 neurons/day cap (varies per model)
  • Larger models consume more neurons per request
  • No fine-tuning support
  • Rate limited to ~300 request/hour for free users
  • Models larger than 10GB may not load
  • Cold starts can occur
Key Strengths
  • Edge inference: runs closest to user
  • 50+ models: LLM, image gen, classification, speech
  • Workers integration for serverless apps
  • Serverless Inference
  • Instant Model Loading
  • Text Generation

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