Battle of the Models

Compare specific LLM models, context windows, and capabilities.

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Gemini 1.5 Pro (via Coze)

S-TIER

Coze

Intelligence Score 90/100
Model Popularity 0 votes
Context Window 1M
Pricing Model Free / Open

DeepSeek Coder V2

A-TIER

Ollama

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

Gemini 1.5 Pro (via Coze) Wins

With an intelligence score of 90/100 vs 85/100, Gemini 1.5 Pro (via Coze) outperforms DeepSeek Coder V2 by 5 points.

Close Match: The difference is minimal. Consider other factors like pricing and features.
HEAD-TO-HEAD

Detailed Comparison

Feature
Gemini 1.5 Pro (via Coze)
DeepSeek Coder V2
Context Window
1M 64K tokens
Architecture
Transformer (Proprietary) Dense Transformer
Est. MMLU Score
~85-87% ~80-84%
Release Date
Feb-May 2024 2024
Pricing Model
Free Tier Free Tier
Rate Limit (RPM)
Varies by model Hardware limited
Daily Limit
Token-based daily limits Unlimited
Capabilities
No specific data
No specific data
Performance Tier
A-Tier (Excellent) A-Tier (Excellent)
Speed Estimate
⚡ Very Fast Medium
Primary Use Case
⚡ Fast Chat & Apps 💻 Code Generation
Model Size
~1.5T (estimated) Undisclosed
Limitations
  • Daily token limits on free tier
  • Platform-specific API format
  • Bot-centric usage model
  • Depends on your RAM/GPU
  • Laptop fans will spin up
  • Large models (70B+) need heavy hardware
Key Strengths
  • Visual bot/agent builder
  • Multi-model access (GPT-4o, Gemini)
  • Plugin marketplace
  • Local Inference: Data never leaves your device
  • Modelfiles: Script your own system prompts
  • API: Local REST API for app integration

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