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

AI21 Jamba 1.5 Large

A-TIER

GitHub Models

Intelligence Score 88/100
Context Window 256K
Pricing Model Free / Open
Model Popularity 0 votes
FINAL VERDICT

Mixtral 8x22B Instruct Wins

With an intelligence score of 89/100 vs 88/100, Mixtral 8x22B Instruct outperforms AI21 Jamba 1.5 Large 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
AI21 Jamba 1.5 Large
Context Window
64K 256K
Architecture
Mixture of Experts (MoE) SSM-Transformer Hybrid (Mamba)
Est. MMLU Score
~80-84% ~80-84%
Release Date
2024 2024
Pricing Model
Paid / Commercial Free Tier
Rate Limit (RPM)
60 RPM (varies by model) Varies by Copilot Tier
Daily Limit
Credit-based (no daily cap) Low
Capabilities
Reasoning Multilingual
No specific data
Performance Tier
A-Tier (Excellent) A-Tier (Excellent)
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
  • Restrictive limits
  • Requires GitHub account
  • Rate limits vary by Copilot tier
Key Strengths
  • OpenAI-compatible API (drop-in replacement)
  • 40+ open-source models hosted
  • Fast inference with optimized serving
  • Prototyping

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