Battle of the Models

Compare specific LLM models, context windows, and capabilities.

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Qwen3.6 35B A3B

Hetzner Inference API

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

Llama 4 Scout

DEPRECATED

Groq

This model is no longer active/free — kept for reference.

Intelligence Score 87/100
Context Window 1k RPD, 30k TPM
Pricing Model Free / Open
Model Popularity 0 votes
FINAL VERDICT

Llama 4 Scout Wins

With an intelligence score of 87/100 vs 65/100, Llama 4 Scout outperforms Qwen3.6 35B A3B by 22 points.

Clear Winner: Significant performance advantage for Llama 4 Scout.
HEAD-TO-HEAD

Detailed Comparison

Feature
Qwen3.6 35B A3B
Llama 4 Scout
Context Window
262K 1k RPD, 30k TPM
Architecture
Transformer (Open Weight) Transformer (Open Weight)
Est. MMLU Score
~60-64% ~80-84%
Release Date
2024 2026 (Latest)
Pricing Model
Free Tier Free Tier
Rate Limit (RPM)
3M input / 60K output tokens per 60s 30 RPM, 14.4k RPD
Daily Limit
500M input / 5M output tokens per 24h 14,400 Requests/Day
Capabilities
Vision Reasoning
No specific data
Performance Tier
C-Tier (Good) A-Tier (Excellent)
Speed Estimate
Medium ⚡ Very Fast
Primary Use Case
General Purpose General Purpose
Model Size
35B Undisclosed
Limitations
  • Experimental — no SLA, could be discontinued or paywalled at any time
  • Only one model currently offered
  • No official uptime/support guarantees
  • Test
Key Strengths
  • OpenAI-compatible endpoint — swap base_url + key
  • EU data residency
  • MoE model with 262K context and image input
  • LPU Accelerated
  • Extremely Fast Inference
  • Open Source Models

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