Battle of the Models

Compare specific LLM models, context windows, and capabilities.

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VS
No matches found

Qwen3.6 35B A3B

Hetzner Inference API

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

Llama 3.1 8B Instruct

A-TIER

Cloudflare Workers AI

Intelligence Score 80/100
Context Window 128K
Pricing Model Free / Open
Model Popularity 0 votes
View Provider Analysis →
FINAL VERDICT

Llama 3.1 8B Instruct Wins

With an intelligence score of 80/100 vs 65/100, Llama 3.1 8B Instruct outperforms Qwen3.6 35B A3B by 15 points.

Clear Winner: Significant performance advantage for Llama 3.1 8B Instruct.
HEAD-TO-HEAD

Detailed Comparison

Feature
Qwen3.6 35B A3B
Llama 3.1 8B Instruct
Context Window
262K 128K
Architecture
Transformer (Open Weight) Transformer (Open Weight)
Est. MMLU Score
~60-64% ~75-79%
Release Date
2024 Jul 2024
Pricing Model
Free Tier Free Tier
Rate Limit (RPM)
3M input / 60K output tokens per 60s Varies by model
Daily Limit
500M input / 5M output tokens per 24h 10,000 neurons/day
Capabilities
Vision Reasoning
Reasoning
Performance Tier
C-Tier (Good) B-Tier (Strong)
Speed Estimate
Medium ⚡ Very Fast
Primary Use Case
General Purpose General Purpose
Model Size
35B 8B
Limitations
  • Experimental — no SLA, could be discontinued or paywalled at any time
  • Only one model currently offered
  • No official uptime/support guarantees
  • 10,000 neurons/day cap (varies per model)
  • Larger models consume more neurons per request
  • No fine-tuning support
Key Strengths
  • OpenAI-compatible endpoint — swap base_url + key
  • EU data residency
  • MoE model with 262K context and image input
  • Edge inference: runs closest to user
  • 50+ models: LLM, image gen, classification, speech
  • Workers integration for serverless apps

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