Battle of the Models

Compare specific LLM models, context windows, and capabilities.

DeepSeek V3.1

S-TIER

SambaNova Cloud

Intelligence Score 94/100

Model Popularity 0 votes

Context Window Long context

Pricing Model Free / Open

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A-TIER

LLM7.io

Intelligence Score 86/100

Context Window 256K Context

Pricing Model Free / Open

Model Popularity 0 votes

View Provider Analysis →

FINAL VERDICT

With an intelligence score of 94/100 vs 86/100, DeepSeek V3.1 outperforms Codestral Latest by 8 points.

HEAD-TO-HEAD

Feature	DeepSeek V3.1	Codestral Latest
Context Window	Long context	256K Context
Architecture	Dense Transformer	Transformer
Est. MMLU Score	~88-91%	~80-84%
Release Date	2024	2024
Pricing Model	Free Tier	Free Tier
Rate Limit (RPM)	Varies by model	30 RPM (no signup) / 120 RPM (free email token)
Daily Limit	Dependent on credits	Up to 5M tokens/day (rolling 24h, with free token)
Capabilities	No specific data	No specific data
Performance Tier	S-Tier (Elite)	A-Tier (Excellent)
Speed Estimate	Medium	Medium
Primary Use Case	General Purpose	💻 Code Generation
Model Size	Undisclosed	Undisclosed
Limitations	Free credits are one-time for new users Context window varies by model (8k - 128k) Rate limits apply to free tier	No signup tier is heavily rate-limited (30 RPM) Smaller, less well-known provider — verify uptime before production use
Key Strengths	SambaNova SN40L RDU Chip Dataflow Architecture Record-Breaking Speed	Works with zero signup OpenAI-compatible endpoint — swap base_url + key No signup required for basic use