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

Jamba 1.5 Mini

A-TIER

AI21 Labs

Intelligence Score 82/100
Context Window 256K
Pricing Model Commercial / Paid
Model Popularity 0 votes
FINAL VERDICT

Mixtral 8x22B Instruct Wins

With an intelligence score of 89/100 vs 82/100, Mixtral 8x22B Instruct outperforms Jamba 1.5 Mini by 7 points.

HEAD-TO-HEAD

Detailed Comparison

Feature
Mixtral 8x22B Instruct
Jamba 1.5 Mini
Context Window
64K 256K
Architecture
Mixture of Experts (MoE) SSM-Transformer Hybrid (Mamba)
Est. MMLU Score
~80-84% ~75-79%
Release Date
2024 2024
Pricing Model
Paid / Commercial Paid / Commercial
Rate Limit (RPM)
60 RPM (varies by model) 100 RPM
Daily Limit
Credit-based (no daily cap) Credit-based
Capabilities
Reasoning Multilingual
No specific data
Performance Tier
A-Tier (Excellent) B-Tier (Strong)
Speed Estimate
Medium ⚡ Very Fast
Primary Use Case
General Purpose ⚡ Fast Chat & Apps
Model Size
22B Undisclosed
Limitations
  • $5 credit is one-time only
  • Credits expire after 90 days
  • Rate limits vary by model
  • Credits expire after 3 months
  • Unique architecture (check compatibility)
  • Focus on text (no vision yet)
Key Strengths
  • OpenAI-compatible API (drop-in replacement)
  • 40+ open-source models hosted
  • Fast inference with optimized serving
  • Jamba: SSM-Transformer Hybrid
  • 256K Context Window
  • Highly efficient inference

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