Battle of the Models

Compare specific LLM models, context windows, and capabilities.

No matches found
VS
No matches found

Google: Gemini 2.0 Pro (free)

S-TIER

OpenRouter

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

DeepSeek V3

S-TIER

DeepInfra

Intelligence Score 94/100
Context Window 64K
Pricing Model Commercial / Paid
Model Popularity 0 votes
FINAL VERDICT

Google: Gemini 2.0 Pro (free) Wins

With an intelligence score of 96/100 vs 94/100, Google: Gemini 2.0 Pro (free) outperforms DeepSeek V3 by 2 points.

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

Detailed Comparison

Feature
Google: Gemini 2.0 Pro (free)
DeepSeek V3
Context Window
1M 64K
Architecture
Transformer (Proprietary) Dense Transformer
Est. MMLU Score
~92-95% ~88-91%
Release Date
Dec 2024 2024
Pricing Model
Free Tier Paid / Commercial
Rate Limit (RPM)
20 requests/minute 60 RPM (varies by model)
Daily Limit
50 requests/day (up to 1000 with $10 topup) Credit-based (no daily cap)
Capabilities
No specific data
Reasoning
Performance Tier
S-Tier (Elite) S-Tier (Elite)
Speed Estimate
âš¡ Very Fast Medium
Primary Use Case
âš¡ Fast Chat & Apps General Purpose
Model Size
~1.5T (estimated) Undisclosed
Limitations
  • Limits depend on account history/topup
  • Community key models
  • Free models have lower priority during peak demand
  • $5 credit is one-time only
  • Credits expire after 90 days
  • Rate limits vary by model
Key Strengths
  • Unified API for 100+ models from all providers
  • OpenAI-compatible endpoint (drop-in replacement)
  • Automatic model fallback and routing
  • OpenAI-compatible API (drop-in replacement)
  • 40+ open-source models hosted
  • Fast inference with optimized serving

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