Battle of the Models

Compare specific LLM models, context windows, and capabilities.

Gemini 3.5 Flash

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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Cerebras

Intelligence Score 65/100

Context Window 128K Context

Pricing Model Free / Open

Model Popularity 0 votes

View Provider Analysis →

FINAL VERDICT

With an intelligence score of 96/100 vs 65/100, Gemini 3.5 Flash outperforms Qwen 3.8 27B by 31 points.

Clear Winner: Significant performance advantage for Gemini 3.5 Flash.

HEAD-TO-HEAD

Feature	Gemini 3.5 Flash	Qwen 3.8 27B
Context Window	1M Context	128K Context
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)	5-30 RPM (varies by model)	5 RPM, 30K uncached / 90K total TPM, 1M tokens per hour and per day (Free Trial)
Daily Limit	Varies by model (Flash / Flash-Lite only; Pro models are paid)	1M tokens/day
Capabilities	No specific data	No specific data
Performance Tier	S-Tier (Elite)	C-Tier (Good)
Speed Estimate	⚡ Very Fast	⚡ Very Fast
Primary Use Case	⚡ Fast Chat & Apps	General Purpose
Model Size	~1.5T (estimated)	27B
Limitations	Data used for training (Unpaid tier) Rate limits are enforced per minute/day No SLA for free tier	Rate limited on free tier (30 RPM) Daily token cap of 1M tokens
Key Strengths	Multimodal Capabilities Huge Context Window (up to 2M tokens) Fast Inference Speed	Instant Token Generation Wafer-Scale Engine Speed OpenAI API Compatibility