Battle of the Models

Compare specific LLM models, context windows, and capabilities.

Meta: Llama 3.3 70B Instruct (free)

S-TIER

OpenRouter

Intelligence Score 94/100

Model Popularity 0 votes

Context Window 128k

Pricing Model Free / Open

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S-TIER

Requesty

Intelligence Score 92/100

Context Window 128K

Pricing Model Commercial / Paid

Model Popularity 0 votes

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FINAL VERDICT

With an intelligence score of 94/100 vs 92/100, Meta: Llama 3.3 70B Instruct (free) outperforms GPT-4o (via routing) by 2 points.

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

HEAD-TO-HEAD

Feature	Meta: Llama 3.3 70B Instruct (free)	GPT-4o (via routing)
Context Window	128k	128K
Architecture	Transformer (Open Weight)	Transformer (Proprietary)
Est. MMLU Score	~88-91%	~85-87%
Release Date	Dec 2024	May-Nov 2024
Pricing Model	Free Tier	Paid / Commercial
Rate Limit (RPM)	20 requests/minute	60 RPM
Daily Limit	50 requests/day (up to 1000 with $10 topup)	Credit-based
Capabilities	No specific data	Vision
Performance Tier	S-Tier (Elite)	A-Tier (Excellent)
Speed Estimate	⚡ Fast	Medium
Primary Use Case	General Purpose	General Purpose
Model Size	70B	~1.8T (estimated)
Limitations	Limits depend on account history/topup Community key models Free models have lower priority during peak demand	Requires underlying provider API keys Free credit amount is limited Routing adds minimal latency
Key Strengths	Unified API for 100+ models from all providers OpenAI-compatible endpoint (drop-in replacement) Automatic model fallback and routing	AI Router: automatic provider failover Prompt caching for cost savings Multi-provider load balancing