Battle of the Models

Compare specific LLM models, context windows, and capabilities.

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Jamba Mini

A-TIER

AI21 Labs

Intelligence Score 85/100
Model Popularity 0 votes
Context Window Varies
Pricing Model Free / Open

Qwen3.6 35B A3B

Hetzner Inference API

Intelligence Score 65/100
Context Window 262K
Pricing Model Free / Open
Model Popularity 0 votes
FINAL VERDICT

Jamba Mini Wins

With an intelligence score of 85/100 vs 65/100, Jamba Mini outperforms Qwen3.6 35B A3B by 20 points.

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

Detailed Comparison

Feature
Jamba Mini
Qwen3.6 35B A3B
Context Window
Varies 262K
Architecture
SSM-Transformer Hybrid (Mamba) Transformer (Open Weight)
Est. MMLU Score
~80-84% ~60-64%
Release Date
2024 2024
Pricing Model
Free Tier Free Tier
Rate Limit (RPM)
100 RPM 3M input / 60K output tokens per 60s
Daily Limit
Credit-based 500M input / 5M output tokens per 24h
Capabilities
No specific data
Vision Reasoning
Performance Tier
A-Tier (Excellent) C-Tier (Good)
Speed Estimate
⚡ Very Fast Medium
Primary Use Case
⚡ Fast Chat & Apps General Purpose
Model Size
Undisclosed 35B
Limitations
  • Credits expire after 3 months
  • Unique architecture (check compatibility)
  • Focus on text (no vision yet)
  • Experimental — no SLA, could be discontinued or paywalled at any time
  • Only one model currently offered
  • No official uptime/support guarantees
Key Strengths
  • Jamba: SSM-Transformer Hybrid
  • 256K Context Window
  • Highly efficient inference
  • OpenAI-compatible endpoint — swap base_url + key
  • EU data residency
  • MoE model with 262K context and image input

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