Battle of the Models

Compare specific LLM models, context windows, and capabilities.

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Llama 3.1 70B Instruct

DEPRECATED

Chutes.ai

This model is no longer active/free — kept for reference.

Intelligence Score 88/100
Model Popularity 0 votes
Context Window 128K
Pricing Model Free / Open
View Provider Analysis →

Qwen3.6 35B A3B

Hetzner Inference API

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

Llama 3.1 70B Instruct Wins

With an intelligence score of 88/100 vs 65/100, Llama 3.1 70B Instruct outperforms Qwen3.6 35B A3B by 23 points.

Clear Winner: Significant performance advantage for Llama 3.1 70B Instruct.
HEAD-TO-HEAD

Detailed Comparison

Feature
Llama 3.1 70B Instruct
Qwen3.6 35B A3B
Context Window
128K 262K
Architecture
Transformer (Open Weight) Transformer (Open Weight)
Est. MMLU Score
~80-84% ~60-64%
Release Date
Jul 2024 2024
Pricing Model
Free Tier Free Tier
Rate Limit (RPM)
Varies (community capacity) 3M input / 60K output tokens per 60s
Daily Limit
Subject to availability 500M input / 5M output tokens per 24h
Capabilities
No specific data
Vision Reasoning
Performance Tier
A-Tier (Excellent) C-Tier (Good)
Speed Estimate
⚡ Fast Medium
Primary Use Case
General Purpose General Purpose
Model Size
70B 35B
Limitations
  • Availability depends on community GPU donors
  • Speed varies with demand
  • Models may be temporarily unavailable
  • Experimental — no SLA, could be discontinued or paywalled at any time
  • Only one model currently offered
  • No official uptime/support guarantees
Key Strengths
  • Community-powered GPU network
  • Free access to large open-source models
  • OpenAI-compatible API format
  • OpenAI-compatible endpoint — swap base_url + key
  • EU data residency
  • MoE model with 262K context and image input

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