Battle of the Models

Compare specific LLM models, context windows, and capabilities.

DeepSeek-V4 Flash

A-TIER

DeepSeek

Intelligence Score 83/100

Model Popularity 0 votes

Context Window 1M

Pricing Model Commercial / Paid

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S-TIER

Google AI Studio

Intelligence Score 96/100

Context Window 1M Context, 15 RPM

Pricing Model Free / Open

Model Popularity 0 votes

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FINAL VERDICT

With an intelligence score of 96/100 vs 83/100, Gemini 3.1 Flash outperforms DeepSeek-V4 Flash by 13 points.

HEAD-TO-HEAD

Feature	DeepSeek-V4 Flash	Gemini 3.1 Flash
Context Window	1M	1M Context, 15 RPM
Architecture	Dense Transformer	Transformer (Proprietary)
Est. MMLU Score	~75-79%	~92-95%
Release Date	2024	2026 (Expected)
Pricing Model	Paid / Commercial	Free Tier
Rate Limit (RPM)	60 RPM	5-30 RPM (varies by model)
Daily Limit	Credit-based	9000 RPD (Flash) / 25 RPD (3.1 Pro)
Capabilities	No specific data	Thinking Multimodal
Performance Tier	B-Tier (Strong)	S-Tier (Elite)
Speed Estimate	⚡ Very Fast	⚡ Very Fast
Primary Use Case	⚡ Fast Chat & Apps	⚡ Fast Chat & Apps
Model Size	Undisclosed	~1.5T (estimated)
Limitations	10M tokens is one-time only API can be slow during peak hours (Chinese business hours) Rate limiting during high demand periods	Data used for training (Unpaid tier) Rate limits are enforced per minute/day No SLA for free tier
Key Strengths	DeepSeek-R1: OpenAI o1-level reasoning (open-source) Mixture-of-Experts architecture for efficiency OpenAI-compatible API (drop-in replacement)	Multimodal Capabilities Huge Context Window (up to 2M tokens) Fast Inference Speed