Battle of the Models

Compare specific LLM models, context windows, and capabilities.

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VS
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DeepSeek Coder V2

A-TIER

Ollama

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

nvr-tts-en-us

OVH AI Endpoints

Intelligence Score 65/100
Context Window Audio
Pricing Model Free / Open
Model Popularity 0 votes
View Provider Analysis →
FINAL VERDICT

DeepSeek Coder V2 Wins

With an intelligence score of 85/100 vs 65/100, DeepSeek Coder V2 outperforms nvr-tts-en-us by 20 points.

Clear Winner: Significant performance advantage for DeepSeek Coder V2.
HEAD-TO-HEAD

Detailed Comparison

Feature
DeepSeek Coder V2
nvr-tts-en-us
Context Window
64K tokens Audio
Architecture
Dense Transformer Transformer
Est. MMLU Score
~80-84% ~60-64%
Release Date
2024 2024
Pricing Model
Free Tier Free Tier
Rate Limit (RPM)
Hardware limited 2 RPM (Anonymous) / 400 RPM (Auth)
Daily Limit
Unlimited Unspecified
Capabilities
No specific data
Audio
Performance Tier
A-Tier (Excellent) C-Tier (Good)
Speed Estimate
Medium Medium
Primary Use Case
💻 Code Generation General Purpose
Model Size
Undisclosed Undisclosed
Limitations
  • Depends on your RAM/GPU
  • Laptop fans will spin up
  • Large models (70B+) need heavy hardware
  • Beta service, may end or change
  • 2 requests/minute for anonymous usage
  • Requires token for higher limits (400 RPM)
Key Strengths
  • Local Inference: Data never leaves your device
  • Modelfiles: Script your own system prompts
  • API: Local REST API for app integration
  • Data sovereignty (EU)
  • Beta access to premium models
  • Simple integration

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