Battle of the Models

Compare specific LLM models, context windows, and capabilities.

No matches found
VS
No matches found

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

Replicate

Intelligence Score 76/100
Model Popularity 0 votes
Context Window 32K tokens
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

Jamba 1.5 Mini Wins

With an intelligence score of 82/100 vs 76/100, Jamba 1.5 Mini outperforms mistralai/mistral-7b-instruct-v0.2 by 6 points.

HEAD-TO-HEAD

Detailed Comparison

Feature
mistralai/mistral-7b-instruct-v0.2
Jamba 1.5 Mini
Context Window
32K tokens 256K
Architecture
Transformer (Open Weight) SSM-Transformer Hybrid (Mamba)
Est. MMLU Score
~70-74% ~75-79%
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
No specific data
Performance Tier
B-Tier (Strong) B-Tier (Strong)
Speed Estimate
⚡ Very Fast ⚡ Very Fast
Primary Use Case
General Purpose ⚡ Fast Chat & Apps
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

Similar Comparisons