Battle of the Models

Compare specific LLM models, context windows, and capabilities.

Gemini 3.1 Flash-Lite

S-TIER

Google AI Studio

Intelligence Score 96/100

Model Popularity 0 votes

Context Window 1M Context

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

View Provider Analysis →

FINAL VERDICT

With an intelligence score of 96/100 vs 65/100, Gemini 3.1 Flash-Lite outperforms Qwen3.6 35B A3B by 31 points.

Clear Winner: Significant performance advantage for Gemini 3.1 Flash-Lite.

HEAD-TO-HEAD

Feature	Gemini 3.1 Flash-Lite	Qwen3.6 35B A3B
Context Window	1M Context	262K
Architecture	Transformer (Proprietary)	Transformer (Open Weight)
Est. MMLU Score	~92-95%	~60-64%
Release Date	2026 (Expected)	2024
Pricing Model	Free Tier	Free Tier
Rate Limit (RPM)	Varies by model (per-model limits are now shown only inside AI Studio)	10 requests, 4M input / 100K output tokens per 60s (per API key)
Daily Limit	Varies by model. Free: Flash, Flash-Lite and Gemini 2.5 Pro; Gemini 3.x Pro models are paid	No daily cap published (free while the API is experimental)
Capabilities	No specific data	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