Battle of the Models

Compare specific LLM models, context windows, and capabilities.

Llama 3.1 70B (via routing)

A-TIER

Requesty

Intelligence Score 87/100

Model Popularity 0 votes

Context Window 128K

Pricing Model Commercial / Paid

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S-TIER

OpenRouter

Intelligence Score 96/100

Context Window 1M

Pricing Model Free / Open

Model Popularity 0 votes

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FINAL VERDICT

With an intelligence score of 96/100 vs 87/100, Google: Gemini 2.0 Pro (free) outperforms Llama 3.1 70B (via routing) by 9 points.

HEAD-TO-HEAD

Feature	Llama 3.1 70B (via routing)	Google: Gemini 2.0 Pro (free)
Context Window	128K	1M
Architecture	Transformer (Open Weight)	Transformer (Proprietary)
Est. MMLU Score	~80-84%	~92-95%
Release Date	Jul 2024	Dec 2024
Pricing Model	Paid / Commercial	Free Tier
Rate Limit (RPM)	60 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	A-Tier (Excellent)	S-Tier (Elite)
Speed Estimate	⚡ Fast	⚡ Very Fast
Primary Use Case	General Purpose	⚡ Fast Chat & Apps
Model Size	70B	~1.5T (estimated)
Limitations	Requires underlying provider API keys Free credit amount is limited Routing adds minimal latency	Limits depend on account history/topup Community key models Free models have lower priority during peak demand
Key Strengths	AI Router: automatic provider failover Prompt caching for cost savings Multi-provider load balancing	Unified API for 100+ models from all providers OpenAI-compatible endpoint (drop-in replacement) Automatic model fallback and routing