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

Gemma 2 9B Instruct

A-TIER

Hugging Face Inference

Intelligence Score 80/100
Context Window 8k
Pricing Model Free / Open
Model Popularity 0 votes
FINAL VERDICT

Mixtral 8x22B Instruct Wins

With an intelligence score of 89/100 vs 80/100, Mixtral 8x22B Instruct outperforms Gemma 2 9B Instruct by 9 points.

HEAD-TO-HEAD

Detailed Comparison

Feature
Mixtral 8x22B Instruct
Gemma 2 9B Instruct
Context Window
64K 8k
Architecture
Mixture of Experts (MoE) Transformer
Est. MMLU Score
~80-84% ~75-79%
Release Date
2024 2024
Pricing Model
Paid / Commercial Free Tier
Rate Limit (RPM)
60 RPM (varies by model) 300 Requests / hour
Daily Limit
Credit-based (no daily cap) Dependent on global load
Capabilities
Reasoning Multilingual
No specific data
Performance Tier
A-Tier (Excellent) B-Tier (Strong)
Speed Estimate
Medium Medium
Primary Use Case
General Purpose General Purpose
Model Size
22B 9B
Limitations
  • $5 credit is one-time only
  • Credits expire after 90 days
  • Rate limits vary by model
  • Rate limited to ~300 request/hour for free users
  • Models larger than 10GB may not load
  • Cold starts can occur
Key Strengths
  • OpenAI-compatible API (drop-in replacement)
  • 40+ open-source models hosted
  • Fast inference with optimized serving
  • Serverless Inference
  • Instant Model Loading
  • Text Generation

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