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

Gemini 2.0 Flash Thinking

DEPRECATED

Google AI Studio

This model is no longer active/free — kept for reference.

Intelligence Score 94/100
Context Window 1M Context, 10 RPM
Pricing Model Free / Open
Model Popularity 0 votes
FINAL VERDICT

Gemini 2.0 Flash Thinking Wins

With an intelligence score of 94/100 vs 65/100, Gemini 2.0 Flash Thinking outperforms Qwen3.6 35B A3B by 29 points.

Clear Winner: Significant performance advantage for Gemini 2.0 Flash Thinking.
HEAD-TO-HEAD

Detailed Comparison

Feature
Qwen3.6 35B A3B
Gemini 2.0 Flash Thinking
Context Window
262K 1M Context, 10 RPM
Architecture
Transformer (Open Weight) Transformer (Proprietary)
Est. MMLU Score
~60-64% ~88-91%
Release Date
2024 Dec 2024
Pricing Model
Free Tier Free Tier
Rate Limit (RPM)
10 requests, 4M input / 100K output tokens per 60s (per API key) Varies by model (per-model limits are now shown only inside AI Studio)
Daily Limit
No daily cap published (free while the API is experimental); a Hetzner account with billing details is required and Hetzner may ask for a card or ID to verify it Varies by model. Free: Gemini 3.x Flash / Flash-Lite and Gemini 2.5 Pro/Flash (2.5 redirect to 3.x on Dec 1, 2026); Gemini 3.x Pro and Gemini 4 are paid
Capabilities
Vision Reasoning
Thinking Reasoning
Performance Tier
C-Tier (Good) S-Tier (Elite)
Speed Estimate
Medium ⚡ Very Fast
Primary Use Case
General Purpose ⚡ Fast Chat & Apps
Model Size
35B ~1.5T (estimated)
Limitations
  • Experimental — no SLA, could be discontinued or paywalled at any time
  • Only one model currently offered
  • No official uptime/support guarantees
  • Data used for training (Unpaid tier)
  • Rate limits are enforced per minute/day
  • No SLA for free tier
Key Strengths
  • OpenAI-compatible endpoint — swap base_url + key
  • EU data residency
  • MoE model with 262K context and image input
  • Multimodal Capabilities
  • Huge Context Window (up to 2M tokens)
  • Fast Inference Speed

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