Battle of the Models

Compare specific LLM models, context windows, and capabilities.

No matches found
VS
No matches found

Mistral Nemo

A-TIER

Mistral (La Plateforme)

Intelligence Score 80/100
Model Popularity 0 votes
Context Window 128k
Pricing Model Free / Open
View Provider Analysis →

DeepSeek-R1

S-TIER

NVIDIA NIM

Intelligence Score 97/100
Context Window 128K
Pricing Model Commercial / Paid
Model Popularity 0 votes
View Provider Analysis →
FINAL VERDICT

DeepSeek-R1 Wins

With an intelligence score of 97/100 vs 80/100, DeepSeek-R1 outperforms Mistral Nemo by 17 points.

Clear Winner: Significant performance advantage for DeepSeek-R1.
HEAD-TO-HEAD

Detailed Comparison

Feature
Mistral Nemo
DeepSeek-R1
Context Window
128k 128K
Architecture
Transformer (Open Weight) Dense Transformer
Est. MMLU Score
~75-79% ~92-95%
Release Date
2024 Jan 2025
Pricing Model
Free Tier Paid / Commercial
Rate Limit (RPM)
1 request/second 40 requests/minute
Daily Limit
- -
Capabilities
No specific data
No specific data
Performance Tier
B-Tier (Strong) S-Tier (Elite)
Speed Estimate
Medium 🐢 Slower (Reasoning)
Primary Use Case
General Purpose 🧠 Complex Reasoning
Model Size
Undisclosed Undisclosed
Limitations
  • Phone verification required
  • Data training opt-in required
  • 1 request/second rate limit
  • Phone number verification required
  • Free credits are limited
  • Rate limits on free tier
Key Strengths
  • Access to Mistral's open-weight models
  • OpenAI-compatible API endpoints
  • Function calling support
  • High performance models

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