Battle of the Models

Compare specific LLM models, context windows, and capabilities.

Mistral Nemo Instruct 2407

A-TIER

LLM7.io

Intelligence Score 80/100

Model Popularity 0 votes

Context Window 128K Context

Pricing Model Free / Open

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Cohere

Intelligence Score 79/100

Context Window 128K

Pricing Model Free / Open

Model Popularity 0 votes

View Provider Analysis →

FINAL VERDICT

With an intelligence score of 80/100 vs 79/100, Mistral Nemo Instruct 2407 outperforms Aya Expanse 32B by 1 point.

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

HEAD-TO-HEAD

Feature	Mistral Nemo Instruct 2407	Aya Expanse 32B
Context Window	128K Context	128K
Architecture	Transformer (Open Weight)	Transformer
Est. MMLU Score	~75-79%	~70-74%
Release Date	2024	2024
Pricing Model	Free Tier	Free Tier
Rate Limit (RPM)	30 RPM (no signup) / 120 RPM (free email token)	20 requests/minute
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	32B
Limitations	No signup tier is heavily rate-limited (30 RPM) Smaller, less well-known provider — verify uptime before production use	Monthly quota shared across all models 1,000 API calls/month on free tier Commercial use restricted on free plan
Key Strengths	Works with zero signup OpenAI-compatible endpoint — swap base_url + key No signup required for basic use	Retrieval Augmented Generation (RAG) built-in Enterprise-grade models Embeddings and reranking models