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

Google: Gemini 2.0 Pro (free)

S-TIER

OpenRouter

Intelligence Score 96/100
Context Window 1M
Pricing Model Free / Open
Model Popularity 0 votes
FINAL VERDICT

Google: Gemini 2.0 Pro (free) Wins

With an intelligence score of 96/100 vs 89/100, Google: Gemini 2.0 Pro (free) outperforms Mixtral 8x22B Instruct by 7 points.

HEAD-TO-HEAD

Detailed Comparison

Feature
Mixtral 8x22B Instruct
Google: Gemini 2.0 Pro (free)
Context Window
64K 1M
Architecture
Mixture of Experts (MoE) Transformer (Proprietary)
Est. MMLU Score
~80-84% ~92-95%
Release Date
2024 Dec 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) S-Tier (Elite)
Speed Estimate
Medium ⚡ Very Fast
Primary Use Case
General Purpose ⚡ Fast Chat & Apps
Model Size
22B ~1.5T (estimated)
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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