Battle of the Models

Compare specific LLM models, context windows, and capabilities.

GPT-4o (via routing)

S-TIER

Requesty

Intelligence Score 92/100

Model Popularity 0 votes

Context Window 128K

Pricing Model Commercial / Paid

View Provider Analysis →

A-TIER

AI21 Labs

Intelligence Score 88/100

Context Window 256K

Pricing Model Commercial / Paid

Model Popularity 0 votes

View Provider Analysis →

FINAL VERDICT

With an intelligence score of 92/100 vs 88/100, GPT-4o (via routing) outperforms Jamba 1.5 Large by 4 points.

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

HEAD-TO-HEAD

Feature	GPT-4o (via routing)	Jamba 1.5 Large
Context Window	128K	256K
Architecture	Transformer (Proprietary)	SSM-Transformer Hybrid (Mamba)
Est. MMLU Score	~85-87%	~80-84%
Release Date	May-Nov 2024	2024
Pricing Model	Paid / Commercial	Paid / Commercial
Rate Limit (RPM)	60 RPM	100 RPM
Daily Limit	Credit-based	Credit-based
Capabilities	Vision	Reasoning
Performance Tier	A-Tier (Excellent)	A-Tier (Excellent)
Speed Estimate	Medium	Medium
Primary Use Case	General Purpose	General Purpose
Model Size	~1.8T (estimated)	Undisclosed
Limitations	Requires underlying provider API keys Free credit amount is limited Routing adds minimal latency	Credits expire after 3 months Unique architecture (check compatibility) Focus on text (no vision yet)
Key Strengths	AI Router: automatic provider failover Prompt caching for cost savings Multi-provider load balancing	Jamba: SSM-Transformer Hybrid 256K Context Window Highly efficient inference