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

Mistral-class (via Pollinations)

Pollinations.ai

Intelligence Score 65/100
Context Window See provider
Pricing Model Free / Open
Model Popularity 0 votes
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-class (via Pollinations)
Context Window
262K See provider
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 ~1 request/15s (anonymous) — higher with a free API key
Daily Limit
500M input / 5M output tokens per 24h Fair use
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
  • Anonymous tier is tightly rate-limited
  • Not OpenAI-SDK-compatible out of the box — uses its own simple URL scheme
  • Smaller, community-run project — verify uptime before production use
Key Strengths
  • OpenAI-compatible endpoint — swap base_url + key
  • EU data residency
  • MoE model with 262K context and image input
  • Zero setup — just call the URL
  • Text, image, and audio generation in one API
  • No API key or signup required at all for basic use

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