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
View Provider Analysis →

Llama 3.1 70B Instruct

A-TIER

Chutes.ai

Intelligence Score 88/100
Context Window 128K
Pricing Model Free / Open
Model Popularity 0 votes
View Provider Analysis →
FINAL VERDICT

Mixtral 8x22B Instruct Wins

With an intelligence score of 89/100 vs 88/100, Mixtral 8x22B Instruct outperforms Llama 3.1 70B Instruct by 1 point.

Close Match: The difference is minimal. Consider other factors like pricing and features.
HEAD-TO-HEAD

Detailed Comparison

Feature
Mixtral 8x22B Instruct
Llama 3.1 70B Instruct
Context Window
64K 128K
Architecture
Mixture of Experts (MoE) Transformer (Open Weight)
Est. MMLU Score
~80-84% ~80-84%
Release Date
2024 Jul 2024
Pricing Model
Paid / Commercial Free Tier
Rate Limit (RPM)
60 RPM (varies by model) Varies (community capacity)
Daily Limit
Credit-based (no daily cap) Subject to availability
Capabilities
Reasoning Multilingual
No specific data
Performance Tier
A-Tier (Excellent) A-Tier (Excellent)
Speed Estimate
Medium ⚡ Fast
Primary Use Case
General Purpose General Purpose
Model Size
22B 70B
Limitations
  • $5 credit is one-time only
  • Credits expire after 90 days
  • Rate limits vary by model
  • Availability depends on community GPU donors
  • Speed varies with demand
  • Models may be temporarily unavailable
Key Strengths
  • OpenAI-compatible API (drop-in replacement)
  • 40+ open-source models hosted
  • Fast inference with optimized serving
  • Community-powered GPU network
  • Free access to large open-source models
  • OpenAI-compatible API format

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meta/llama-3-70b-instruct