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This model is no longer active/free — kept for reference.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

Pollinations.ai

Intelligence Score 85/100

Context Window 262K Context

Pricing Model Free / Open

Model Popularity 0 votes

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FINAL VERDICT

With an intelligence score of 87/100 vs 85/100, Llama 3.1 70B (via routing) outperforms Kimi K2.6 by 2 points.

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

HEAD-TO-HEAD

Feature	Llama 3.1 70B (via routing)	Kimi K2.6
Context Window	128K	262K Context
Architecture	Transformer (Open Weight)	Transformer
Est. MMLU Score	~80-84%	~80-84%
Release Date	Jul 2024	2024
Pricing Model	Paid / Commercial	Free Tier
Rate Limit (RPM)	20 RPM on free models (60 RPM for paying orgs)	API key required (anonymous access removed); no card
Daily Limit	200 requests/day (new orgs) / 1,000/day (paying orgs), shared across free models	Free usage paid from Quest Pollen earned in the dashboard
Capabilities	No specific data	No specific data
Performance Tier	A-Tier (Excellent)	A-Tier (Excellent)
Speed Estimate	⚡ Fast	Medium
Primary Use Case	General Purpose	General Purpose
Model Size	70B	Undisclosed
Limitations	Requires underlying provider API keys Free credit amount is limited Routing adds minimal latency	Anonymous tier is tightly rate-limited Not OpenAI-SDK-compatible out of the box — uses its own simple URL scheme Smaller, community-run project — verify uptime before production use
Key Strengths	AI Router: automatic provider failover Prompt caching for cost savings Multi-provider load balancing	Zero setup — just call the URL Text, image, and audio generation in one API No API key or signup required at all for basic use