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 →

GPT-OSS 20B

Groq

Intelligence Score 65/100
Context Window 1k RPD, 8k TPM
Pricing Model Free / Open
Model Popularity 0 votes
View Provider Analysis →
FINAL VERDICT

Jamba 1.5 Large Wins

With an intelligence score of 88/100 vs 65/100, Jamba 1.5 Large outperforms GPT-OSS 20B by 23 points.

Clear Winner: Significant performance advantage for Jamba 1.5 Large.
HEAD-TO-HEAD

Detailed Comparison

Feature
Jamba 1.5 Large
GPT-OSS 20B
Context Window
256K 1k RPD, 8k TPM
Architecture
SSM-Transformer Hybrid (Mamba) Transformer (Proprietary)
Est. MMLU Score
~80-84% ~60-64%
Release Date
2024 2024
Pricing Model
Paid / Commercial Free Tier
Rate Limit (RPM)
100 RPM 30 RPM, 14.4k RPD
Daily Limit
Credit-based 14,400 Requests/Day
Capabilities
Reasoning
No specific data
Performance Tier
A-Tier (Excellent) C-Tier (Good)
Speed Estimate
Medium Medium
Primary Use Case
General Purpose General Purpose
Model Size
Undisclosed 20B
Limitations
  • Credits expire after 3 months
  • Unique architecture (check compatibility)
  • Focus on text (no vision yet)
  • Test
Key Strengths
  • Jamba: SSM-Transformer Hybrid
  • 256K Context Window
  • Highly efficient inference
  • LPU Accelerated
  • Extremely Fast Inference
  • Open Source Models

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