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
View Provider Analysis →

Meta: Llama 3.3 70B Instruct (free)

S-TIER

OpenRouter

Intelligence Score 94/100
Context Window 128k
Pricing Model Free / Open
Model Popularity 0 votes
View Provider Analysis →
FINAL VERDICT

Meta: Llama 3.3 70B Instruct (free) Wins

With an intelligence score of 94/100 vs 84/100, Meta: Llama 3.3 70B Instruct (free) outperforms Mistral Nemo 12B by 10 points.

HEAD-TO-HEAD

Detailed Comparison

Feature
Mistral Nemo 12B
Meta: Llama 3.3 70B Instruct (free)
Context Window
32K tokens 128k
Architecture
Transformer (Open Weight) Transformer (Open Weight)
Est. MMLU Score
~75-79% ~88-91%
Release Date
2024 Dec 2024
Pricing Model
Free Tier Free Tier
Rate Limit (RPM)
Hardware limited 20 requests/minute
Daily Limit
Unlimited 50 requests/day (up to 1000 with $10 topup)
Capabilities
Multilingual
No specific data
Performance Tier
B-Tier (Strong) S-Tier (Elite)
Speed Estimate
Medium ⚡ Fast
Primary Use Case
General Purpose General Purpose
Model Size
12B 70B
Limitations
  • Depends on your RAM/GPU
  • Laptop fans will spin up
  • Large models (70B+) need heavy hardware
  • Limits depend on account history/topup
  • Community key models
  • Free models have lower priority during peak demand
Key Strengths
  • Local Inference: Data never leaves your device
  • Modelfiles: Script your own system prompts
  • API: Local REST API for app integration
  • Unified API for 100+ models from all providers
  • OpenAI-compatible endpoint (drop-in replacement)
  • Automatic model fallback and routing

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