Battle of the Models

Compare specific LLM models, context windows, and capabilities.

Gemini 2.0 Flash Thinking

S-TIER

Google AI Studio

Intelligence Score 94/100

Model Popularity 0 votes

Context Window 1M Context, 10 RPM

Pricing Model Free / Open

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Hetzner Inference API

Intelligence Score 65/100

Context Window 262K

Pricing Model Free / Open

Model Popularity 0 votes

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FINAL VERDICT

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

Feature	Gemini 2.0 Flash Thinking	Qwen3.6 35B A3B
Context Window	1M Context, 10 RPM	262K
Architecture	Transformer (Proprietary)	Transformer (Open Weight)
Est. MMLU Score	~88-91%	~60-64%
Release Date	Dec 2024	2024
Pricing Model	Free Tier	Free Tier
Rate Limit (RPM)	5-30 RPM (varies by model)	3M input / 60K output tokens per 60s
Daily Limit	9000 RPD (Flash) / 25 RPD (3.1 Pro)	500M input / 5M output tokens per 24h
Capabilities	Thinking Reasoning	Vision Reasoning
Performance Tier	S-Tier (Elite)	C-Tier (Good)
Speed Estimate	⚡ Very Fast	Medium
Primary Use Case	⚡ Fast Chat & Apps	General Purpose
Model Size	~1.5T (estimated)	35B
Limitations	Data used for training (Unpaid tier) Rate limits are enforced per minute/day No SLA for free tier	Experimental — no SLA, could be discontinued or paywalled at any time Only one model currently offered No official uptime/support guarantees
Key Strengths	Multimodal Capabilities Huge Context Window (up to 2M tokens) Fast Inference Speed	OpenAI-compatible endpoint — swap base_url + key EU data residency MoE model with 262K context and image input