Battle of the Models

Compare specific LLM models, context windows, and capabilities.

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VS
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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
View Provider Analysis →

Llama 3.1 70B (via routing)

A-TIER

Requesty

Intelligence Score 87/100
Context Window 128K
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 87/100, Jamba 1.5 Large outperforms Llama 3.1 70B (via routing) by 1 point.

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

Detailed Comparison

Feature
Jamba 1.5 Large
Llama 3.1 70B (via routing)
Context Window
256K 128K
Architecture
SSM-Transformer Hybrid (Mamba) Transformer (Open Weight)
Est. MMLU Score
~80-84% ~80-84%
Release Date
2024 Jul 2024
Pricing Model
Paid / Commercial Paid / Commercial
Rate Limit (RPM)
100 RPM 60 RPM
Daily Limit
Credit-based Credit-based
Capabilities
Reasoning
No specific data
Performance Tier
A-Tier (Excellent) A-Tier (Excellent)
Speed Estimate
Medium ⚡ Fast
Primary Use Case
General Purpose General Purpose
Model Size
Undisclosed 70B
Limitations
  • Credits expire after 3 months
  • Unique architecture (check compatibility)
  • Focus on text (no vision yet)
  • Requires underlying provider API keys
  • Free credit amount is limited
  • Routing adds minimal latency
Key Strengths
  • Jamba: SSM-Transformer Hybrid
  • 256K Context Window
  • Highly efficient inference
  • AI Router: automatic provider failover
  • Prompt caching for cost savings
  • Multi-provider load balancing

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