Battle of the Models

Compare specific LLM models, context windows, and capabilities.

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mistralai/mistral-7b-instruct-v0.2

Replicate

Intelligence Score 76/100
Model Popularity 0 votes
Context Window 32K tokens
Pricing Model Commercial / Paid
View Provider Analysis →

Jamba 1.5 Large

A-TIER

AI21 Labs

Intelligence Score 88/100
Context Window 256K
Pricing Model Commercial / Paid
Model Popularity 0 votes
View Provider Analysis →
FINAL VERDICT

Jamba 1.5 Large Wins

With an intelligence score of 88/100 vs 76/100, Jamba 1.5 Large outperforms mistralai/mistral-7b-instruct-v0.2 by 12 points.

HEAD-TO-HEAD

Detailed Comparison

Feature
mistralai/mistral-7b-instruct-v0.2
Jamba 1.5 Large
Context Window
32K tokens 256K
Architecture
Transformer (Open Weight) SSM-Transformer Hybrid (Mamba)
Est. MMLU Score
~70-74% ~80-84%
Release Date
2024 2024
Pricing Model
Paid / Commercial Paid / Commercial
Rate Limit (RPM)
Varies by model 100 RPM
Daily Limit
Credit-based Credit-based
Capabilities
No specific data
Reasoning
Performance Tier
B-Tier (Strong) A-Tier (Excellent)
Speed Estimate
âš¡ Very Fast Medium
Primary Use Case
General Purpose General Purpose
Model Size
7b Undisclosed
Limitations
  • Pay-per-second billing (can be expensive)
  • Cold starts for less popular models
  • Trial credits are minimal
  • Credits expire after 3 months
  • Unique architecture (check compatibility)
  • Focus on text (no vision yet)
Key Strengths
  • Run any public model with an API
  • Fine-tune existing models easily
  • Cold boots can be slow for unpopular models
  • Jamba: SSM-Transformer Hybrid
  • 256K Context Window
  • Highly efficient inference

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