Battle of the Models

Compare specific LLM models, context windows, and capabilities.

DeepSeek V4 Flash (Cloud)

A-TIER

Ollama Cloud

Intelligence Score 83/100

Model Popularity 0 votes

Context Window Varies

Pricing Model Free / Open

View Provider Analysis →

A-TIER

Mistral (La Plateforme)

Intelligence Score 80/100

Context Window 128k

Pricing Model Free / Open

Model Popularity 0 votes

View Provider Analysis →

FINAL VERDICT

With an intelligence score of 83/100 vs 80/100, DeepSeek V4 Flash (Cloud) outperforms Mistral Nemo by 3 points.

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

HEAD-TO-HEAD

Feature	DeepSeek V4 Flash (Cloud)	Mistral Nemo
Context Window	Varies	128k
Architecture	Dense Transformer	Transformer (Open Weight)
Est. MMLU Score	~75-79%	~75-79%
Release Date	2024	2024
Pricing Model	Free Tier	Free Tier
Rate Limit (RPM)	Light usage tier, 1 concurrent model	1 request/second
Daily Limit	Session limit resets every few hours	-
Capabilities	No specific data	No specific data
Performance Tier	B-Tier (Strong)	B-Tier (Strong)
Speed Estimate	⚡ Very Fast	Medium
Primary Use Case	⚡ Fast Chat & Apps	General Purpose
Model Size	Undisclosed	Undisclosed
Limitations	No specific limitations documented	Phone verification required Data training opt-in required 1 request/second rate limit
Key Strengths		Access to Mistral's open-weight models OpenAI-compatible API endpoints Function calling support