Battle of the Models

Compare specific LLM models, context windows, and capabilities.

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Codestral Latest

A-TIER

LLM7.io

Intelligence Score 86/100
Model Popularity 0 votes
Context Window 256K Context
Pricing Model Free / Open

DeepSeek V4 Pro (0813)

A-TIER

NVIDIA NIM

Intelligence Score 80/100
Context Window Long context
Pricing Model Free / Open
Model Popularity 0 votes
FINAL VERDICT

Codestral Latest Wins

With an intelligence score of 86/100 vs 80/100, Codestral Latest outperforms DeepSeek V4 Pro (0813) by 6 points.

HEAD-TO-HEAD

Detailed Comparison

Feature
Codestral Latest
DeepSeek V4 Pro (0813)
Context Window
256K Context Long context
Architecture
Transformer Dense Transformer
Est. MMLU Score
~80-84% ~75-79%
Release Date
2024 2024
Pricing Model
Free Tier Free Tier
Rate Limit (RPM)
30 RPM (no signup) / 120 RPM (free email token) 40 requests/minute
Daily Limit
Up to 5M tokens/day (rolling 24h, with free token) -
Capabilities
No specific data
No specific data
Performance Tier
A-Tier (Excellent) B-Tier (Strong)
Speed Estimate
Medium Medium
Primary Use Case
💻 Code Generation General Purpose
Model Size
Undisclosed Undisclosed
Limitations
  • No signup tier is heavily rate-limited (30 RPM)
  • Smaller, less well-known provider — verify uptime before production use
  • Phone number verification required
  • Free credits are limited
  • Rate limits on free tier
Key Strengths
  • Works with zero signup
  • OpenAI-compatible endpoint — swap base_url + key
  • No signup required for basic use
  • High performance models

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