Battle of the Models

Compare specific LLM models, context windows, and capabilities.

Qwen3.5 397B A17B

Nebius (Token Factory)

Intelligence Score 65/100

Model Popularity 0 votes

Context Window Long context

Pricing Model Free / Open

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A-TIER

Replicate

Intelligence Score 83/100

Context Window 8K tokens

Pricing Model Commercial / Paid

Model Popularity 0 votes

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FINAL VERDICT

With an intelligence score of 83/100 vs 65/100, meta/llama-3-70b-instruct outperforms Qwen3.5 397B A17B by 18 points.

Clear Winner: Significant performance advantage for meta/llama-3-70b-instruct.

HEAD-TO-HEAD

Feature	Qwen3.5 397B A17B	meta/llama-3-70b-instruct
Context Window	Long context	8K tokens
Architecture	Transformer (Open Weight)	Transformer (Open Weight)
Est. MMLU Score	~60-64%	~75-79%
Release Date	2024	2024
Pricing Model	Free Tier	Paid / Commercial
Rate Limit (RPM)	60 RPM	Varies by model
Daily Limit	Credit-based	Credit-based
Capabilities	No specific data	No specific data
Performance Tier	C-Tier (Good)	B-Tier (Strong)
Speed Estimate	⚡ Very Fast	⚡ Fast
Primary Use Case	General Purpose	General Purpose
Model Size	397B	70b
Limitations	$1 credit is small (good for testing) Limited model selection compared to aggregators Beta features may change	Pay-per-second billing (can be expensive) Cold starts for less popular models Trial credits are minimal
Key Strengths	Nebius Studio: Interactive playground OpenAI Compatibility: Easy swap Cost Effective: Competitive pricing	Run any public model with an API Fine-tune existing models easily Cold boots can be slow for unpopular models