Battle of the Models

Compare specific LLM models, context windows, and capabilities.

No matches found
VS
No matches found

Mistral Nemo 12B

A-TIER

Ollama

Intelligence Score 84/100
Model Popularity 0 votes
Context Window 32K tokens
Pricing Model Free / Open

Qwen 2.5 72B Instruct

S-TIER

Chutes.ai

Intelligence Score 91/100
Context Window 32K
Pricing Model Free / Open
Model Popularity 0 votes
FINAL VERDICT

Qwen 2.5 72B Instruct Wins

With an intelligence score of 91/100 vs 84/100, Qwen 2.5 72B Instruct outperforms Mistral Nemo 12B by 7 points.

HEAD-TO-HEAD

Detailed Comparison

Feature
Mistral Nemo 12B
Qwen 2.5 72B Instruct
Context Window
32K tokens 32K
Architecture
Transformer (Open Weight) Transformer (Open Weight)
Est. MMLU Score
~75-79% ~85-87%
Release Date
2024 Sep-Nov 2024
Pricing Model
Free Tier Free Tier
Rate Limit (RPM)
Hardware limited Varies (community capacity)
Daily Limit
Unlimited Subject to availability
Capabilities
Multilingual
No specific data
Performance Tier
B-Tier (Strong) A-Tier (Excellent)
Speed Estimate
Medium ⚡ Fast
Primary Use Case
General Purpose General Purpose
Model Size
12B 72B
Limitations
  • Depends on your RAM/GPU
  • Laptop fans will spin up
  • Large models (70B+) need heavy hardware
  • Availability depends on community GPU donors
  • Speed varies with demand
  • Models may be temporarily unavailable
Key Strengths
  • Local Inference: Data never leaves your device
  • Modelfiles: Script your own system prompts
  • API: Local REST API for app integration
  • Community-powered GPU network
  • Free access to large open-source models
  • OpenAI-compatible API format

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