Battle of the Models

Compare specific LLM models, context windows, and capabilities.

DeepSeek Coder V2

A-TIER

Ollama

Intelligence Score 85/100

Model Popularity 0 votes

Context Window 64K tokens

Pricing Model Free / Open

View Provider Analysis →

S-TIER

Google AI Studio

Intelligence Score 96/100

Context Window 1M Context, 15 RPM

Pricing Model Free / Open

Model Popularity 0 votes

View Provider Analysis →

FINAL VERDICT

With an intelligence score of 96/100 vs 85/100, Gemini 3.1 Flash outperforms DeepSeek Coder V2 by 11 points.

HEAD-TO-HEAD

Feature	DeepSeek Coder V2	Gemini 3.1 Flash
Context Window	64K tokens	1M Context, 15 RPM
Architecture	Dense Transformer	Transformer (Proprietary)
Est. MMLU Score	~80-84%	~92-95%
Release Date	2024	2026 (Expected)
Pricing Model	Free Tier	Free Tier
Rate Limit (RPM)	Hardware limited	5-30 RPM (varies by model)
Daily Limit	Unlimited	9000 RPD (Flash) / 25 RPD (3.1 Pro)
Capabilities	No specific data	Thinking Multimodal
Performance Tier	A-Tier (Excellent)	S-Tier (Elite)
Speed Estimate	Medium	⚡ Very Fast
Primary Use Case	💻 Code Generation	⚡ Fast Chat & Apps
Model Size	Undisclosed	~1.5T (estimated)
Limitations	Depends on your RAM/GPU Laptop fans will spin up Large models (70B+) need heavy hardware	Data used for training (Unpaid tier) Rate limits are enforced per minute/day No SLA for free tier
Key Strengths	Local Inference: Data never leaves your device Modelfiles: Script your own system prompts API: Local REST API for app integration	Multimodal Capabilities Huge Context Window (up to 2M tokens) Fast Inference Speed