Battle of the Models

Compare specific LLM models, context windows, and capabilities.

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Jamba 1.5 Large

DEPRECATED

AI21 Labs

This model is no longer active/free — kept for reference.

Intelligence Score 88/100
Model Popularity 0 votes
Context Window 256K
Pricing Model Commercial / Paid

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 1.5 Large Wins

With an intelligence score of 88/100 vs 65/100, Jamba 1.5 Large outperforms Qwen3.6 35B A3B by 23 points.

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

Detailed Comparison

Feature
Jamba 1.5 Large
Qwen3.6 35B A3B
Context Window
256K 262K
Architecture
SSM-Transformer Hybrid (Mamba) Transformer (Open Weight)
Est. MMLU Score
~80-84% ~60-64%
Release Date
2024 2024
Pricing Model
Paid / Commercial 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
Reasoning
Vision Reasoning
Performance Tier
A-Tier (Excellent) C-Tier (Good)
Speed Estimate
Medium Medium
Primary Use Case
General Purpose 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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