Battle of the Models

Compare specific LLM models, context windows, and capabilities.

Llama 3.1 70B (via routing)

DEPRECATED

Requesty

This model is no longer active/free — kept for reference.

Intelligence Score 87/100

Model Popularity 0 votes

Context Window 128K

Pricing Model Commercial / Paid

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DEPRECATED

OpenRouter

This model is no longer active/free — kept for reference.

Intelligence Score 83/100

Context Window 32k

Pricing Model Free / Open

Model Popularity 0 votes

View Provider Analysis →

FINAL VERDICT

With an intelligence score of 87/100 vs 83/100, Llama 3.1 70B (via routing) outperforms Qwen 2.5 VL 72B Instruct (free) by 4 points.

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

HEAD-TO-HEAD

Feature	Llama 3.1 70B (via routing)	Qwen 2.5 VL 72B Instruct (free)
Context Window	128K	32k
Architecture	Transformer (Open Weight)	Transformer (Open Weight)
Est. MMLU Score	~80-84%	~75-79%
Release Date	Jul 2024	Sep-Nov 2024
Pricing Model	Paid / Commercial	Free Tier
Rate Limit (RPM)	60 RPM	20 requests/minute
Daily Limit	50 requests/day (new orgs) / 200 requests/day (paying orgs), shared across all free models	50 requests/day (up to 1000 with $10 topup)
Capabilities	No specific data	No specific data
Performance Tier	A-Tier (Excellent)	B-Tier (Strong)
Speed Estimate	⚡ Fast	⚡ Fast
Primary Use Case	General Purpose	👁️ Vision & Multimodal
Model Size	70B	72B
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