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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S-TIER

SiliconFlow

Intelligence Score 93/100

Context Window 128K Context

Pricing Model Free / Open

Model Popularity 0 votes

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FINAL VERDICT

With an intelligence score of 96/100 vs 93/100, Gemini 3.5 Flash outperforms DeepSeek R1 Distill Qwen 7B by 3 points.

Close Match: The difference is minimal. Consider other factors like pricing and features.

HEAD-TO-HEAD

Feature	Gemini 3.5 Flash	DeepSeek R1 Distill Qwen 7B
Context Window	1M Context	128K Context
Architecture	Transformer (Proprietary)	Transformer (Open Weight)
Est. MMLU Score	~92-95%	~88-91%
Release Date	2026 (Expected)	Jan 2025
Pricing Model	Free Tier	Free Tier
Rate Limit (RPM)	5-30 RPM (varies by model)	Fixed limits for free models — exact figures require login, verify on cloud.siliconflow.cn/models
Daily Limit	Varies by model (Flash / Flash-Lite only; Pro models are paid)	Not fully published — verify on docs.siliconflow.cn
Capabilities	No specific data	No specific data
Performance Tier	S-Tier (Elite)	S-Tier (Elite)
Speed Estimate	⚡ Very Fast	⚡ Very Fast
Primary Use Case	⚡ Fast Chat & Apps	🧠 Complex Reasoning
Model Size	~1.5T (estimated)	7B
Limitations	Data used for training (Unpaid tier) Rate limits are enforced per minute/day No SLA for free tier	Free model list not published without logging in — verify exact models/limits in your dashboard before relying on this provider Requires identity verification, not just email signup Reportedly unavailable in EU/UK/Switzerland
Key Strengths	Multimodal Capabilities Huge Context Window (up to 2M tokens) Fast Inference Speed	OpenAI-compatible endpoint Mix of always-free and pay-per-token models Some models free ($0) after identity verification