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 →

DeepSeek-R1

S-TIER

NVIDIA NIM

Intelligence Score 97/100
Context Window 128K
Pricing Model Commercial / Paid
Model Popularity 0 votes
View Provider Analysis →
FINAL VERDICT

DeepSeek-R1 Wins

With an intelligence score of 97/100 vs 88/100, DeepSeek-R1 outperforms Jamba 1.5 Large by 9 points.

HEAD-TO-HEAD

Detailed Comparison

Feature
Jamba 1.5 Large
DeepSeek-R1
Context Window
256K 128K
Architecture
SSM-Transformer Hybrid (Mamba) Dense Transformer
Est. MMLU Score
~80-84% ~92-95%
Release Date
2024 Jan 2025
Pricing Model
Paid / Commercial Paid / Commercial
Rate Limit (RPM)
100 RPM 40 requests/minute
Daily Limit
Credit-based -
Capabilities
Reasoning
No specific data
Performance Tier
A-Tier (Excellent) S-Tier (Elite)
Speed Estimate
Medium 🐢 Slower (Reasoning)
Primary Use Case
General Purpose 🧠 Complex Reasoning
Model Size
Undisclosed Undisclosed
Limitations
  • Credits expire after 3 months
  • Unique architecture (check compatibility)
  • Focus on text (no vision yet)
  • Phone number verification required
  • Free credits are limited
  • Rate limits on free tier
Key Strengths
  • Jamba: SSM-Transformer Hybrid
  • 256K Context Window
  • Highly efficient inference
  • High performance models

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