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

Gemma 2 9B Instruct

A-TIER

Hugging Face Inference

Intelligence Score 80/100
Context Window 8k
Pricing Model Free / Open
Model Popularity 0 votes
FINAL VERDICT

Gemma 2 9B Instruct Wins

With an intelligence score of 80/100 vs 65/100, Gemma 2 9B Instruct outperforms Qwen3.6 35B A3B by 15 points.

Clear Winner: Significant performance advantage for Gemma 2 9B Instruct.
HEAD-TO-HEAD

Detailed Comparison

Feature
Qwen3.6 35B A3B
Gemma 2 9B Instruct
Context Window
262K 8k
Architecture
Transformer (Open Weight) Transformer
Est. MMLU Score
~60-64% ~75-79%
Release Date
2024 2024
Pricing Model
Free Tier Free Tier
Rate Limit (RPM)
3M input / 60K output tokens per 60s 300 Requests / hour
Daily Limit
500M input / 5M output tokens per 24h Capped by monthly credit, not a flat request count
Capabilities
Vision Reasoning
No specific data
Performance Tier
C-Tier (Good) B-Tier (Strong)
Speed Estimate
Medium Medium
Primary Use Case
General Purpose General Purpose
Model Size
35B 9B
Limitations
  • Experimental — no SLA, could be discontinued or paywalled at any time
  • Only one model currently offered
  • No official uptime/support guarantees
  • Rate limited to ~300 request/hour for free users
  • Models larger than 10GB may not load
  • Cold starts can occur
Key Strengths
  • OpenAI-compatible endpoint — swap base_url + key
  • EU data residency
  • MoE model with 262K context and image input
  • Serverless Inference
  • Instant Model Loading
  • Text Generation

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