Battle of the Models

Compare specific LLM models, context windows, and capabilities.

Llama 3.3 70B Instruct

S-TIER

Fireworks AI

Intelligence Score 94/100

Model Popularity 0 votes

Context Window 128K

Pricing Model Commercial / Paid

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S-TIER

OpenRouter

Intelligence Score 90/100

Context Window 128k

Pricing Model Free / Open

Model Popularity 0 votes

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FINAL VERDICT

With an intelligence score of 94/100 vs 90/100, Llama 3.3 70B Instruct outperforms NVIDIA: Llama 3.1 Nemotron 70B (free) by 4 points.

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

HEAD-TO-HEAD

Feature	Llama 3.3 70B Instruct	NVIDIA: Llama 3.1 Nemotron 70B (free)
Context Window	128K	128k
Architecture	Transformer (Open Weight)	Transformer (Open Weight)
Est. MMLU Score	~88-91%	~85-87%
Release Date	Dec 2024	Jul 2024
Pricing Model	Paid / Commercial	Free Tier
Rate Limit (RPM)	600 RPM	20 requests/minute
Daily Limit	Credit-based	50 requests/day (up to 1000 with $10 topup)
Capabilities	No specific data	No specific data
Performance Tier	S-Tier (Elite)	A-Tier (Excellent)
Speed Estimate	⚡ Fast	⚡ Fast
Primary Use Case	General Purpose	General Purpose
Model Size	70B	70B
Limitations	$1 credit is one-time only Billing account needed for continued use Rate limits apply to free tier	Limits depend on account history/topup Community key models Free models have lower priority during peak demand
Key Strengths	Blazing Fast Inference Fire-Function-v1: Optimized for tool use JSON Mode: Guaranteed structure	Unified API for 100+ models from all providers OpenAI-compatible endpoint (drop-in replacement) Automatic model fallback and routing