Battle of the Models

Compare specific LLM models, context windows, and capabilities.

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Mixtral 8x22B Instruct

A-TIER

DeepInfra

Intelligence Score 89/100
Model Popularity 0 votes
Context Window 64K
Pricing Model Commercial / Paid

Microsoft: Phi-3 Medium (free)

OpenRouter

Intelligence Score 65/100
Context Window 128k
Pricing Model Free / Open
Model Popularity 0 votes
FINAL VERDICT

Mixtral 8x22B Instruct Wins

With an intelligence score of 89/100 vs 65/100, Mixtral 8x22B Instruct outperforms Microsoft: Phi-3 Medium (free) by 24 points.

Clear Winner: Significant performance advantage for Mixtral 8x22B Instruct.
HEAD-TO-HEAD

Detailed Comparison

Feature
Mixtral 8x22B Instruct
Microsoft: Phi-3 Medium (free)
Context Window
64K 128k
Architecture
Mixture of Experts (MoE) Transformer
Est. MMLU Score
~80-84% ~60-64%
Release Date
2024 2024
Pricing Model
Paid / Commercial Free Tier
Rate Limit (RPM)
60 RPM (varies by model) 20 requests/minute
Daily Limit
Credit-based (no daily cap) 50 requests/day (up to 1000 with $10 topup)
Capabilities
Reasoning Multilingual
No specific data
Performance Tier
A-Tier (Excellent) C-Tier (Good)
Speed Estimate
Medium Medium
Primary Use Case
General Purpose General Purpose
Model Size
22B Undisclosed
Limitations
  • $5 credit is one-time only
  • Credits expire after 90 days
  • Rate limits vary by model
  • Limits depend on account history/topup
  • Community key models
  • Free models have lower priority during peak demand
Key Strengths
  • OpenAI-compatible API (drop-in replacement)
  • 40+ open-source models hosted
  • Fast inference with optimized serving
  • Unified API for 100+ models from all providers
  • OpenAI-compatible endpoint (drop-in replacement)
  • Automatic model fallback and routing

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