Battle of the Models

Compare specific LLM models, context windows, and capabilities.

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DeepSeek-R1

S-TIER

Chutes.ai

Intelligence Score 97/100
Model Popularity 0 votes
Context Window 64K
Pricing Model Free / Open

Gemma 2 (Any Size)

LM Studio

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

DeepSeek-R1 Wins

With an intelligence score of 97/100 vs 65/100, DeepSeek-R1 outperforms Gemma 2 (Any Size) by 32 points.

Clear Winner: Significant performance advantage for DeepSeek-R1.
HEAD-TO-HEAD

Detailed Comparison

Feature
DeepSeek-R1
Gemma 2 (Any Size)
Context Window
64K Varies
Architecture
Dense Transformer Transformer
Est. MMLU Score
~92-95% ~60-64%
Release Date
Jan 2025 2024
Pricing Model
Free Tier Free Tier
Rate Limit (RPM)
Varies (community capacity) Hardware limited
Daily Limit
Subject to availability Unlimited
Capabilities
Reasoning
Reasoning
Performance Tier
S-Tier (Elite) C-Tier (Good)
Speed Estimate
🐢 Slower (Reasoning) Medium
Primary Use Case
🧠 Complex Reasoning General Purpose
Model Size
Undisclosed Undisclosed
Limitations
  • Availability depends on community GPU donors
  • Speed varies with demand
  • Models may be temporarily unavailable
  • Closed source application
  • Large downloads
  • Hardware dependent performance
Key Strengths
  • Community-powered GPU network
  • Free access to large open-source models
  • OpenAI-compatible API format
  • Model Discovery: Built-in search of HuggingFace
  • GGUF Support: Optimized quantized models
  • GPU Offload: Mix CPU/GPU layers

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