Battle of the Models

Compare specific LLM models, context windows, and capabilities.

No matches found
VS
No matches found

DeepSeek: R1 (free)

OpenRouter

Intelligence Score 65/100
Model Popularity 0 votes
Context Window 128k
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 65/100, Gemma 2 9B Instruct outperforms DeepSeek: R1 (free) by 15 points.

Clear Winner: Significant performance advantage for Gemma 2 9B Instruct.
HEAD-TO-HEAD

Detailed Comparison

Feature
DeepSeek: R1 (free)
Gemma 2 9B Instruct
Context Window
128k 8k
Architecture
Dense Transformer Transformer
Est. MMLU Score
~60-64% ~75-79%
Release Date
2024 2024
Pricing Model
Free Tier Free Tier
Rate Limit (RPM)
20 requests/minute 300 Requests / hour
Daily Limit
50 requests/day (up to 1000 with $10 topup) Dependent on global load
Capabilities
No specific data
No specific data
Performance Tier
C-Tier (Good) B-Tier (Strong)
Speed Estimate
🐢 Slower (Reasoning) Medium
Primary Use Case
🧠 Complex Reasoning General Purpose
Model Size
Undisclosed 9B
Limitations
  • Limits depend on account history/topup
  • Community key models
  • Free models have lower priority during peak demand
  • Rate limited to ~300 request/hour for free users
  • Models larger than 10GB may not load
  • Cold starts can occur
Key Strengths
  • Unified API for 100+ models from all providers
  • OpenAI-compatible endpoint (drop-in replacement)
  • Automatic model fallback and routing
  • Serverless Inference
  • Instant Model Loading
  • Text Generation

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