Battle of the Models

Compare specific LLM models, context windows, and capabilities.

No matches found
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Mistral Nemo Instruct 2407

A-TIER

LLM7.io

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

Mistral Medium 3.5

A-TIER

Mistral (La Plateforme)

Intelligence Score 84/100
Context Window Long context
Pricing Model Free / Open
Model Popularity 0 votes
View Provider Analysis →
FINAL VERDICT

Mistral Medium 3.5 Wins

With an intelligence score of 84/100 vs 80/100, Mistral Medium 3.5 outperforms Mistral Nemo Instruct 2407 by 4 points.

Close Match: The difference is minimal. Consider other factors like pricing and features.
HEAD-TO-HEAD

Detailed Comparison

Feature
Mistral Nemo Instruct 2407
Mistral Medium 3.5
Context Window
128K Context Long context
Architecture
Transformer (Open Weight) Transformer (Open Weight)
Est. MMLU Score
~75-79% ~75-79%
Release Date
2024 2024
Pricing Model
Free Tier Free Tier
Rate Limit (RPM)
30 RPM (no signup) / 120 RPM (free email token) 1 request/second
Daily Limit
Up to 5M tokens/day (rolling 24h, with free token) -
Capabilities
No specific data
No specific data
Performance Tier
B-Tier (Strong) B-Tier (Strong)
Speed Estimate
Medium Medium
Primary Use Case
General Purpose 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 verification required
  • Data training opt-in required
  • 1 request/second rate limit
Key Strengths
  • Works with zero signup
  • OpenAI-compatible endpoint — swap base_url + key
  • No signup required for basic use
  • Access to Mistral's open-weight models
  • OpenAI-compatible API endpoints
  • Function calling support

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