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

Qwen 2.5 72B

S-TIER

Hyperbolic

Intelligence Score 91/100
Context Window 32K
Pricing Model Commercial / Paid
Model Popularity 0 votes
FINAL VERDICT

Qwen 2.5 72B Wins

With an intelligence score of 91/100 vs 65/100, Qwen 2.5 72B outperforms Qwen3.6 35B A3B by 26 points.

Clear Winner: Significant performance advantage for Qwen 2.5 72B.
HEAD-TO-HEAD

Detailed Comparison

Feature
Qwen3.6 35B A3B
Qwen 2.5 72B
Context Window
262K 32K
Architecture
Transformer (Open Weight) Transformer (Open Weight)
Est. MMLU Score
~60-64% ~85-87%
Release Date
2024 Sep-Nov 2024
Pricing Model
Free Tier Paid / Commercial
Rate Limit (RPM)
3M input / 60K output tokens per 60s 60 RPM
Daily Limit
500M input / 5M output tokens per 24h Credit-based
Capabilities
Vision Reasoning
No specific data
Performance Tier
C-Tier (Good) A-Tier (Excellent)
Speed Estimate
Medium ⚡ Fast
Primary Use Case
General Purpose General Purpose
Model Size
35B 72B
Limitations
  • Experimental — no SLA, could be discontinued or paywalled at any time
  • Only one model currently offered
  • No official uptime/support guarantees
  • Credits are limited ($1)
  • Decentralized nature may vary latency
  • Billing flow involves crypto/stripe
Key Strengths
  • OpenAI-compatible endpoint — swap base_url + key
  • EU data residency
  • MoE model with 262K context and image input
  • Verifiable Inference (verified computing)
  • Low Cost due to decentralized compute
  • Privacy focused

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