Battle of the Models

Compare specific LLM models, context windows, and capabilities.

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Llama 3.1 405B Instruct

S-TIER

DeepInfra

Intelligence Score 92/100
Model Popularity 0 votes
Context Window 128K
Pricing Model Commercial / Paid
View Provider Analysis →

Mistral-class (via Pollinations)

Pollinations.ai

Intelligence Score 65/100
Context Window See provider
Pricing Model Free / Open
Model Popularity 0 votes
View Provider Analysis →
FINAL VERDICT

Llama 3.1 405B Instruct Wins

With an intelligence score of 92/100 vs 65/100, Llama 3.1 405B Instruct outperforms Mistral-class (via Pollinations) by 27 points.

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

Detailed Comparison

Feature
Llama 3.1 405B Instruct
Mistral-class (via Pollinations)
Context Window
128K See provider
Architecture
Transformer (Open Weight) Transformer (Open Weight)
Est. MMLU Score
~85-87% ~60-64%
Release Date
Jul 2024 2024
Pricing Model
Paid / Commercial Free Tier
Rate Limit (RPM)
60 RPM (varies by model) ~1 request/15s (anonymous) — higher with a free API key
Daily Limit
Credit-based (no daily cap) Fair use
Capabilities
Reasoning
No specific data
Performance Tier
A-Tier (Excellent) C-Tier (Good)
Speed Estimate
🐢 Slower (Reasoning) Medium
Primary Use Case
General Purpose General Purpose
Model Size
405B Undisclosed
Limitations
  • $5 credit is one-time only
  • Credits expire after 90 days
  • Rate limits vary by model
  • 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
  • OpenAI-compatible API (drop-in replacement)
  • 40+ open-source models hosted
  • Fast inference with optimized serving
  • 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

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