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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LM Studio

Intelligence Score 65/100

Context Window Varies

Pricing Model Free / Open

Model Popularity 0 votes

View Provider Analysis →

FINAL VERDICT

With an intelligence score of 94/100 vs 65/100, DeepSeek V3.1 outperforms Mistral (Any version) by 29 points.

Clear Winner: Significant performance advantage for DeepSeek V3.1.

HEAD-TO-HEAD

Feature	DeepSeek V3.1	Mistral (Any version)
Context Window	Long context	Varies
Architecture	Dense Transformer	Transformer (Open Weight)
Est. MMLU Score	~88-91%	~60-64%
Release Date	2024	2024
Pricing Model	Free Tier	Free Tier
Rate Limit (RPM)	Varies by model	Hardware limited
Daily Limit	Dependent on credits	Unlimited
Capabilities	No specific data	No specific data
Performance Tier	S-Tier (Elite)	C-Tier (Good)
Speed Estimate	Medium	Medium
Primary Use Case	General Purpose	General Purpose
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	Closed source application Large downloads Hardware dependent performance
Key Strengths	SambaNova SN40L RDU Chip Dataflow Architecture Record-Breaking Speed	Model Discovery: Built-in search of HuggingFace GGUF Support: Optimized quantized models GPU Offload: Mix CPU/GPU layers