Battle of the Models

Compare specific LLM models, context windows, and capabilities.

No matches found
VS
No matches found

DeepSeek-R1

S-TIER

NVIDIA NIM

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

Codestral

A-TIER

Mistral (La Plateforme)

Intelligence Score 86/100
Context Window 256k
Pricing Model Free / Open
Model Popularity 0 votes
View Provider Analysis →
FINAL VERDICT

DeepSeek-R1 Wins

With an intelligence score of 97/100 vs 86/100, DeepSeek-R1 outperforms Codestral by 11 points.

HEAD-TO-HEAD

Detailed Comparison

Feature
DeepSeek-R1
Codestral
Context Window
128K 256k
Architecture
Dense Transformer Transformer
Est. MMLU Score
~92-95% ~80-84%
Release Date
Jan 2025 2024
Pricing Model
Paid / Commercial Free Tier
Rate Limit (RPM)
40 requests/minute 1 request/second
Daily Limit
- -
Capabilities
No specific data
No specific data
Performance Tier
S-Tier (Elite) A-Tier (Excellent)
Speed Estimate
🐢 Slower (Reasoning) Medium
Primary Use Case
🧠 Complex Reasoning 💻 Code Generation
Model Size
Undisclosed Undisclosed
Limitations
  • Phone number verification required
  • Free credits are limited
  • Rate limits on free tier
  • Phone verification required
  • Data training opt-in required
  • 1 request/second rate limit
Key Strengths
  • High performance models
  • Access to Mistral's open-weight models
  • OpenAI-compatible API endpoints
  • Function calling support

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