Battle of the Models

Compare specific LLM models, context windows, and capabilities.

Llama 3.1 70B (via routing)

DEPRECATED

Requesty

This model is no longer active/free — kept for reference.

Intelligence Score 87/100

Model Popularity 0 votes

Context Window 128K

Pricing Model Commercial / Paid

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A-TIER

Nebius (Token Factory)

Intelligence Score 83/100

Context Window Long context

Pricing Model Free / Open

Model Popularity 0 votes

View Provider Analysis →

FINAL VERDICT

With an intelligence score of 87/100 vs 83/100, Llama 3.1 70B (via routing) outperforms DeepSeek V4 Flash (0731) by 4 points.

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

HEAD-TO-HEAD

Feature	Llama 3.1 70B (via routing)	DeepSeek V4 Flash (0731)
Context Window	128K	Long context
Architecture	Transformer (Open Weight)	Dense Transformer
Est. MMLU Score	~80-84%	~75-79%
Release Date	Jul 2024	2024
Pricing Model	Paid / Commercial	Free Tier
Rate Limit (RPM)	20 RPM on free models (60 RPM for paying orgs)	Dynamic limits (adaptive per 15-minute window, not a fixed RPM)
Daily Limit	200 requests/day (new orgs) / 1,000/day (paying orgs), shared across free models	Credit-based
Capabilities	No specific data	No specific data
Performance Tier	A-Tier (Excellent)	B-Tier (Strong)
Speed Estimate	⚡ Fast	⚡ Very Fast
Primary Use Case	General Purpose	⚡ Fast Chat & Apps
Model Size	70B	Undisclosed
Limitations	Requires underlying provider API keys Free credit amount is limited Routing adds minimal latency	$1 credit is small (good for testing) Limited model selection compared to aggregators Beta features may change
Key Strengths	AI Router: automatic provider failover Prompt caching for cost savings Multi-provider load balancing	Nebius Studio: Interactive playground OpenAI Compatibility: Easy swap Cost Effective: Competitive pricing