Battle of the Models

Compare specific LLM models, context windows, and capabilities.

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VS
No matches found

DeepSeek Coder V2

A-TIER

Ollama

Intelligence Score 85/100
Model Popularity 0 votes
Context Window 64K tokens
Pricing Model Free / Open

Gemini 2.0 Flash-Lite

S-TIER

Google AI Studio

Intelligence Score 93/100
Context Window 1M Context, 10 RPM
Pricing Model Free / Open
Model Popularity 0 votes
FINAL VERDICT

Gemini 2.0 Flash-Lite Wins

With an intelligence score of 93/100 vs 85/100, Gemini 2.0 Flash-Lite outperforms DeepSeek Coder V2 by 8 points.

HEAD-TO-HEAD

Detailed Comparison

Feature
DeepSeek Coder V2
Gemini 2.0 Flash-Lite
Context Window
64K tokens 1M Context, 10 RPM
Architecture
Dense Transformer Transformer (Proprietary)
Est. MMLU Score
~80-84% ~88-91%
Release Date
2024 Dec 2024
Pricing Model
Free Tier Free Tier
Rate Limit (RPM)
Hardware limited 2-15 RPM
Daily Limit
Unlimited 1,500 RPD (Flash) / 50 RPD (Pro)
Capabilities
No specific data
No specific data
Performance Tier
A-Tier (Excellent) S-Tier (Elite)
Speed Estimate
Medium ⚡ Very Fast
Primary Use Case
💻 Code Generation ⚡ Fast Chat & Apps
Model Size
Undisclosed ~1.5T (estimated)
Limitations
  • Depends on your RAM/GPU
  • Laptop fans will spin up
  • Large models (70B+) need heavy hardware
  • Data used for training (Unpaid tier)
  • Rate limits are enforced per minute/day
  • No SLA for free tier
Key Strengths
  • Local Inference: Data never leaves your device
  • Modelfiles: Script your own system prompts
  • API: Local REST API for app integration
  • Multimodal Capabilities
  • Huge Context Window (up to 2M tokens)
  • Fast Inference Speed

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