Battle of the Models

Compare specific LLM models, context windows, and capabilities.

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Jamba 1.5 Large

A-TIER

AI21 Labs

Intelligence Score 88/100
Model Popularity 0 votes
Context Window 256K
Pricing Model Commercial / Paid

Mixtral 8x7B Instruct

A-TIER

Friendli AI

Intelligence Score 86/100
Context Window 32K
Pricing Model Commercial / Paid
Model Popularity 0 votes
FINAL VERDICT

Jamba 1.5 Large Wins

With an intelligence score of 88/100 vs 86/100, Jamba 1.5 Large outperforms Mixtral 8x7B Instruct by 2 points.

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

Detailed Comparison

Feature
Jamba 1.5 Large
Mixtral 8x7B Instruct
Context Window
256K 32K
Architecture
SSM-Transformer Hybrid (Mamba) Mixture of Experts (MoE)
Est. MMLU Score
~80-84% ~80-84%
Release Date
2024 2024
Pricing Model
Paid / Commercial Paid / Commercial
Rate Limit (RPM)
100 RPM 60 RPM
Daily Limit
Credit-based Credit-based
Capabilities
Reasoning
Multilingual
Performance Tier
A-Tier (Excellent) A-Tier (Excellent)
Speed Estimate
Medium ⚡ Very Fast
Primary Use Case
General Purpose General Purpose
Model Size
Undisclosed 7B
Limitations
  • Credits expire after 3 months
  • Unique architecture (check compatibility)
  • Focus on text (no vision yet)
  • $10 credit is one-time trial
  • Billing required after credits
  • Limited model selection
Key Strengths
  • Jamba: SSM-Transformer Hybrid
  • 256K Context Window
  • Highly efficient inference
  • Optimized inference engine (FriendliEngine)
  • OpenAI-compatible API endpoints
  • Enterprise-grade uptime

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