Battle of the Models

Compare specific LLM models, context windows, and capabilities.

No matches found
VS
No matches found

Mistral 7B

Lepton AI

Intelligence Score 76/100
Model Popularity 0 votes
Context Window 8K
Pricing Model Commercial / Paid

DeepSeek Coder V2

A-TIER

Ollama

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

DeepSeek Coder V2 Wins

With an intelligence score of 85/100 vs 76/100, DeepSeek Coder V2 outperforms Mistral 7B by 9 points.

HEAD-TO-HEAD

Detailed Comparison

Feature
Mistral 7B
DeepSeek Coder V2
Context Window
8K 64K tokens
Architecture
Transformer (Open Weight) Dense Transformer
Est. MMLU Score
~70-74% ~80-84%
Release Date
2024 2024
Pricing Model
Paid / Commercial Free Tier
Rate Limit (RPM)
60 RPM Hardware limited
Daily Limit
Credit-based Unlimited
Capabilities
Reasoning
No specific data
Performance Tier
B-Tier (Strong) A-Tier (Excellent)
Speed Estimate
âš¡ Very Fast Medium
Primary Use Case
General Purpose 💻 Code Generation
Model Size
7B Undisclosed
Limitations
  • Credits needed for production volume
  • Smaller model selection than aggregators
  • Focus on deployment over just API
  • Depends on your RAM/GPU
  • Laptop fans will spin up
  • Large models (70B+) need heavy hardware
Key Strengths
  • Standard OpenAI-compatible APIs
  • Deploy custom models with one command
  • High throughput optimization
  • Local Inference: Data never leaves your device
  • Modelfiles: Script your own system prompts
  • API: Local REST API for app integration

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