Battle of the Models

Compare specific LLM models, context windows, and capabilities.

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Jamba 1.5 Mini

DEPRECATED

AI21 Labs

This model is no longer active/free — kept for reference.

Intelligence Score 82/100
Model Popularity 0 votes
Context Window 256K
Pricing Model Commercial / Paid

DeepSeek-V4 Pro

A-TIER

DeepSeek

Intelligence Score 80/100
Context Window 128K
Pricing Model Commercial / Paid
Model Popularity 0 votes
FINAL VERDICT

Jamba 1.5 Mini Wins

With an intelligence score of 82/100 vs 80/100, Jamba 1.5 Mini outperforms DeepSeek-V4 Pro 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 Mini
DeepSeek-V4 Pro
Context Window
256K 128K
Architecture
SSM-Transformer Hybrid (Mamba) Dense Transformer
Est. MMLU Score
~75-79% ~75-79%
Release Date
2024 2024
Pricing Model
Paid / Commercial Paid / Commercial
Rate Limit (RPM)
100 RPM 60 RPM
Daily Limit
Credit-based Credit-based
Capabilities
No specific data
No specific data
Performance Tier
B-Tier (Strong) B-Tier (Strong)
Speed Estimate
⚡ Very Fast Medium
Primary Use Case
⚡ Fast Chat & Apps General Purpose
Model Size
Undisclosed Undisclosed
Limitations
  • Credits expire after 3 months
  • Unique architecture (check compatibility)
  • Focus on text (no vision yet)
  • 10M tokens is one-time only
  • API can be slow during peak hours (Chinese business hours)
  • Rate limiting during high demand periods
Key Strengths
  • Jamba: SSM-Transformer Hybrid
  • 256K Context Window
  • Highly efficient inference
  • DeepSeek-R1: OpenAI o1-level reasoning (open-source)
  • Mixture-of-Experts architecture for efficiency
  • OpenAI-compatible API (drop-in replacement)

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