Battle of the Models

Compare specific LLM models, context windows, and capabilities.

DeepSeek-V4 Pro

A-TIER

DeepSeek

Intelligence Score 80/100

Model Popularity 0 votes

Context Window 128K

Pricing Model Commercial / Paid

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A-TIER

SambaNova Cloud

Intelligence Score 89/100

Context Window 32k Context

Pricing Model Commercial / Paid

Model Popularity 0 votes

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FINAL VERDICT

With an intelligence score of 89/100 vs 80/100, Qwen 2.5 Coder 32B outperforms DeepSeek-V4 Pro by 9 points.

HEAD-TO-HEAD

Feature	DeepSeek-V4 Pro	Qwen 2.5 Coder 32B
Context Window	128K	32k Context
Architecture	Dense Transformer	Transformer (Open Weight)
Est. MMLU Score	~75-79%	~80-84%
Release Date	2024	Sep-Nov 2024
Pricing Model	Paid / Commercial	Paid / Commercial
Rate Limit (RPM)	60 RPM	Varies by model
Daily Limit	Credit-based	Dependent on credits
Capabilities	No specific data	No specific data
Performance Tier	B-Tier (Strong)	A-Tier (Excellent)
Speed Estimate	Medium	Medium
Primary Use Case	General Purpose	💻 Code Generation
Model Size	Undisclosed	32B
Limitations	10M tokens is one-time only API can be slow during peak hours (Chinese business hours) Rate limiting during high demand periods	Free credits are one-time for new users Context window varies by model (8k - 128k) Rate limits apply to free tier
Key Strengths	DeepSeek-R1: OpenAI o1-level reasoning (open-source) Mixture-of-Experts architecture for efficiency OpenAI-compatible API (drop-in replacement)	SambaNova SN40L RDU Chip Dataflow Architecture Record-Breaking Speed