Battle of the Models

Compare specific LLM models, context windows, and capabilities.

NVIDIA: Llama 3.1 Nemotron 70B (free)

S-TIER

OpenRouter

Intelligence Score 90/100

Model Popularity 0 votes

Context Window 128k

Pricing Model Free / Open

View Provider Analysis →

Qwen (Alibaba)

Intelligence Score 78/100

Context Window 32K tokens

Pricing Model Commercial / Paid

Model Popularity 0 votes

View Provider Analysis →

FINAL VERDICT

With an intelligence score of 90/100 vs 78/100, NVIDIA: Llama 3.1 Nemotron 70B (free) outperforms Qwen-Turbo by 12 points.

HEAD-TO-HEAD

Feature	NVIDIA: Llama 3.1 Nemotron 70B (free)	Qwen-Turbo
Context Window	128k	32K tokens
Architecture	Transformer (Open Weight)	Transformer (Open Weight)
Est. MMLU Score	~85-87%	~70-74%
Release Date	Jul 2024	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	No specific data
Performance Tier	A-Tier (Excellent)	B-Tier (Strong)
Speed Estimate	⚡ Fast	Medium
Primary Use Case	General Purpose	General Purpose
Model Size	70B	Undisclosed
Limitations	Limits depend on account history/topup Community key models Free models have lower priority during peak demand	Requires Alibaba Cloud account (Payment method) Dashboard can be complex Region selection matters
Key Strengths	Unified API for 100+ models from all providers OpenAI-compatible endpoint (drop-in replacement) Automatic model fallback and routing	Qwen Family: Top tier open weights Multimodal capabilities (VL models) Search Plugin integration