Battle of the Models

Compare specific LLM models, context windows, and capabilities.

No matches found
VS
No matches found

Poolside Laguna M.1

Requesty

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

Qwen 2.5 VL 72B Instruct (free)

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This model is no longer active/free — kept for reference.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

Qwen 2.5 VL 72B Instruct (free) Wins

With an intelligence score of 83/100 vs 65/100, Qwen 2.5 VL 72B Instruct (free) outperforms Poolside Laguna M.1 by 18 points.

Clear Winner: Significant performance advantage for Qwen 2.5 VL 72B Instruct (free).
HEAD-TO-HEAD

Detailed Comparison

Feature
Poolside Laguna M.1
Qwen 2.5 VL 72B Instruct (free)
Context Window
Long context 32k
Architecture
Transformer Transformer (Open Weight)
Est. MMLU Score
~60-64% ~75-79%
Release Date
2024 Sep-Nov 2024
Pricing Model
Free Tier 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
C-Tier (Good) B-Tier (Strong)
Speed Estimate
Medium ⚡ Fast
Primary Use Case
General Purpose 👁️ Vision & Multimodal
Model Size
Undisclosed 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

Similar Comparisons