Battle of the Models

Compare specific LLM models, context windows, and capabilities.

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Gemini 3.6 Flash

S-TIER

Google AI Studio

Intelligence Score 96/100
Model Popularity 0 votes
Context Window 1M Context
Pricing Model Free / Open

DeepSeek V3.2

S-TIER

Friendli AI

Intelligence Score 94/100
Context Window 164K Context
Pricing Model Free / Open
Model Popularity 0 votes
FINAL VERDICT

Gemini 3.6 Flash Wins

With an intelligence score of 96/100 vs 94/100, Gemini 3.6 Flash outperforms DeepSeek V3.2 by 2 points.

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

Detailed Comparison

Feature
Gemini 3.6 Flash
DeepSeek V3.2
Context Window
1M Context 164K Context
Architecture
Transformer (Proprietary) Dense Transformer
Est. MMLU Score
~92-95% ~88-91%
Release Date
2026 (Expected) 2024
Pricing Model
Free Tier Free Tier
Rate Limit (RPM)
5-30 RPM (varies by model) 60 RPM
Daily Limit
Varies by model (Flash / Flash-Lite only; Pro models are paid) Credit-based
Capabilities
No specific data
No specific data
Performance Tier
S-Tier (Elite) S-Tier (Elite)
Speed Estimate
⚡ Very Fast Medium
Primary Use Case
⚡ Fast Chat & Apps General Purpose
Model Size
~1.5T (estimated) Undisclosed
Limitations
  • Data used for training (Unpaid tier)
  • Rate limits are enforced per minute/day
  • No SLA for free tier
  • $10 credit is one-time trial
  • Billing required after credits
  • Limited model selection
Key Strengths
  • Multimodal Capabilities
  • Huge Context Window (up to 2M tokens)
  • Fast Inference Speed
  • Optimized inference engine (FriendliEngine)
  • OpenAI-compatible API endpoints
  • Enterprise-grade uptime

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