Battle of the Models

Compare specific LLM models, context windows, and capabilities.

No matches found
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 →

Mistral (Local)

Jan.ai

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

Qwen3.6 35B A3B Wins

Equal intelligence scores (65/100), but Qwen3.6 35B A3B offers a significantly larger context window.

Close Match: The difference is minimal. Consider other factors like pricing and features.
HEAD-TO-HEAD

Detailed Comparison

Feature
Qwen3.6 35B A3B
Mistral (Local)
Context Window
262K System RAM dependent
Architecture
Transformer (Open Weight) Transformer (Open Weight)
Est. MMLU Score
~60-64% ~60-64%
Release Date
2024 2024
Pricing Model
Free Tier Free Tier
Rate Limit (RPM)
3M input / 60K output tokens per 60s Hardware dependent
Daily Limit
500M input / 5M output tokens per 24h Unlimited
Capabilities
Vision Reasoning
No specific data
Performance Tier
C-Tier (Good) C-Tier (Good)
Speed Estimate
Medium Medium
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
  • Requires decent hardware (RAM/GPU)
  • Battery drain on laptops
  • Local model quality vs GPT-4
Key Strengths
  • OpenAI-compatible endpoint — swap base_url + key
  • EU data residency
  • MoE model with 262K context and image input
  • One-click Model Downloader
  • Built-in Local API Server
  • GPU Acceleration (NVIDIA/Metal/Vulkan)

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