Battle of the Models

Compare specific LLM models, context windows, and capabilities.

No matches found
VS
No matches found

DeepSeek: R1 (free)

OpenRouter

Intelligence Score 65/100
Model Popularity 0 votes
Context Window 128k
Pricing Model Free / Open
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

Mistral Nemo 12B Wins

With an intelligence score of 84/100 vs 65/100, Mistral Nemo 12B outperforms DeepSeek: R1 (free) by 19 points.

Clear Winner: Significant performance advantage for Mistral Nemo 12B.
HEAD-TO-HEAD

Detailed Comparison

Feature
DeepSeek: R1 (free)
Mistral Nemo 12B
Context Window
128k 32K tokens
Architecture
Dense Transformer Transformer (Open Weight)
Est. MMLU Score
~60-64% ~75-79%
Release Date
2024 2024
Pricing Model
Free Tier Free Tier
Rate Limit (RPM)
20 requests/minute Hardware limited
Daily Limit
50 requests/day (up to 1000 with $10 topup) Unlimited
Capabilities
No specific data
Multilingual
Performance Tier
C-Tier (Good) B-Tier (Strong)
Speed Estimate
🐢 Slower (Reasoning) Medium
Primary Use Case
🧠 Complex Reasoning General Purpose
Model Size
Undisclosed 12B
Limitations
  • Limits depend on account history/topup
  • Community key models
  • Free models have lower priority during peak demand
  • Depends on your RAM/GPU
  • Laptop fans will spin up
  • Large models (70B+) need heavy hardware
Key Strengths
  • Unified API for 100+ models from all providers
  • OpenAI-compatible endpoint (drop-in replacement)
  • Automatic model fallback and routing
  • Local Inference: Data never leaves your device
  • Modelfiles: Script your own system prompts
  • API: Local REST API for app integration

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