Battle of the Models

Compare specific LLM models, context windows, and capabilities.

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VS
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Grok 4

S-TIER

Grok (xAI)

Intelligence Score 98/100
Model Popularity 0 votes
Context Window 256K
Pricing Model Commercial / Paid
View Provider Analysis →

Mistral Nemo 12B

A-TIER

Ollama

Intelligence Score 84/100
Context Window 32K tokens
Pricing Model Free / Open
Model Popularity 0 votes
View Provider Analysis →
FINAL VERDICT

Grok 4 Wins

With an intelligence score of 98/100 vs 84/100, Grok 4 outperforms Mistral Nemo 12B by 14 points.

HEAD-TO-HEAD

Detailed Comparison

Feature
Grok 4
Mistral Nemo 12B
Context Window
256K 32K tokens
Architecture
Transformer Transformer (Open Weight)
Est. MMLU Score
~92-95% ~75-79%
Release Date
2024 2024
Pricing Model
Paid / Commercial Free Tier
Rate Limit (RPM)
Varies (low for free tier) Hardware limited
Daily Limit
Credit-based Unlimited
Capabilities
No specific data
Multilingual
Performance Tier
S-Tier (Elite) B-Tier (Strong)
Speed Estimate
Medium Medium
Primary Use Case
General Purpose General Purpose
Model Size
Undisclosed 12B
Limitations
  • $25/month credit cap (generous but finite)
  • Lower rate limits on free tier
  • Vision models have smaller context
  • Depends on your RAM/GPU
  • Laptop fans will spin up
  • Large models (70B+) need heavy hardware
Key Strengths
  • Monthly renewing $25 free credits
  • OpenAI-compatible API (drop-in replacement)
  • Real-time knowledge from X/Twitter data
  • Local Inference: Data never leaves your device
  • Modelfiles: Script your own system prompts
  • API: Local REST API for app integration

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