Battle of the Models

Compare specific LLM models, context windows, and capabilities.

DeepSeek V3.2

S-TIER

Friendli AI

Intelligence Score 94/100

Model Popularity 0 votes

Context Window 164K Context

Pricing Model Free / Open

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A-TIER

LLM7.io

Intelligence Score 80/100

Context Window 128K Context

Pricing Model Free / Open

Model Popularity 0 votes

View Provider Analysis →

FINAL VERDICT

With an intelligence score of 94/100 vs 80/100, DeepSeek V3.2 outperforms Mistral Nemo Instruct 2407 by 14 points.

HEAD-TO-HEAD

Feature	DeepSeek V3.2	Mistral Nemo Instruct 2407
Context Window	164K Context	128K Context
Architecture	Dense Transformer	Transformer (Open Weight)
Est. MMLU Score	~88-91%	~75-79%
Release Date	2024	2024
Pricing Model	Free Tier	Free Tier
Rate Limit (RPM)	60 RPM	30 RPM (no signup) / 120 RPM (free email token)
Daily Limit	Credit-based	Up to 5M tokens/day (rolling 24h, with free token)
Capabilities	No specific data	No specific data
Performance Tier	S-Tier (Elite)	B-Tier (Strong)
Speed Estimate	Medium	Medium
Primary Use Case	General Purpose	General Purpose
Model Size	Undisclosed	Undisclosed
Limitations	$10 credit is one-time trial Billing required after credits Limited model selection	No signup tier is heavily rate-limited (30 RPM) Smaller, less well-known provider — verify uptime before production use
Key Strengths	Optimized inference engine (FriendliEngine) OpenAI-compatible API endpoints Enterprise-grade uptime	Works with zero signup OpenAI-compatible endpoint — swap base_url + key No signup required for basic use