Battle of the Models

Compare specific LLM models, context windows, and capabilities.

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VS
No matches found

Poolside Laguna XS.2

Requesty

Intelligence Score 65/100
Model Popularity 0 votes
Context Window Long context
Pricing Model Free / Open

Llama 3.1 405B Instruct

S-TIER

DeepInfra

Intelligence Score 92/100
Context Window 128K
Pricing Model Commercial / Paid
Model Popularity 0 votes
FINAL VERDICT

Llama 3.1 405B Instruct Wins

With an intelligence score of 92/100 vs 65/100, Llama 3.1 405B Instruct outperforms Poolside Laguna XS.2 by 27 points.

Clear Winner: Significant performance advantage for Llama 3.1 405B Instruct.
HEAD-TO-HEAD

Detailed Comparison

Feature
Poolside Laguna XS.2
Llama 3.1 405B Instruct
Context Window
Long context 128K
Architecture
Transformer Transformer (Open Weight)
Est. MMLU Score
~60-64% ~85-87%
Release Date
2024 Jul 2024
Pricing Model
Free Tier Paid / Commercial
Rate Limit (RPM)
60 RPM 60 RPM (varies by model)
Daily Limit
50 requests/day (new orgs) / 200 requests/day (paying orgs), shared across all free models Credit-based (no daily cap)
Capabilities
No specific data
Reasoning
Performance Tier
C-Tier (Good) A-Tier (Excellent)
Speed Estimate
Medium 🐢 Slower (Reasoning)
Primary Use Case
General Purpose General Purpose
Model Size
Undisclosed 405B
Limitations
  • Requires underlying provider API keys
  • Free credit amount is limited
  • Routing adds minimal latency
  • $5 credit is one-time only
  • Credits expire after 90 days
  • Rate limits vary by model
Key Strengths
  • AI Router: automatic provider failover
  • Prompt caching for cost savings
  • Multi-provider load balancing
  • OpenAI-compatible API (drop-in replacement)
  • 40+ open-source models hosted
  • Fast inference with optimized serving

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