Battle of the Models

Compare specific LLM models, context windows, and capabilities.

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VS
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Gemini 1.5 Pro

S-TIER

Google AI Studio

Intelligence Score 90/100
Model Popularity 0 votes
Context Window 2M Context, 2 RPM
Pricing Model Free / Open
View Provider Analysis →

DeepSeek: R1 Distill Llama 70B (free)

A-TIER

OpenRouter

Intelligence Score 83/100
Context Window 128k
Pricing Model Free / Open
Model Popularity 0 votes
View Provider Analysis →
FINAL VERDICT

Gemini 1.5 Pro Wins

With an intelligence score of 90/100 vs 83/100, Gemini 1.5 Pro outperforms DeepSeek: R1 Distill Llama 70B (free) by 7 points.

HEAD-TO-HEAD

Detailed Comparison

Feature
Gemini 1.5 Pro
DeepSeek: R1 Distill Llama 70B (free)
Context Window
2M Context, 2 RPM 128k
Architecture
Transformer (Proprietary) Transformer (Open Weight)
Est. MMLU Score
~85-87% ~75-79%
Release Date
Feb-May 2024 2024
Pricing Model
Free Tier Free Tier
Rate Limit (RPM)
2-15 RPM 20 requests/minute
Daily Limit
1,500 RPD (Flash) / 50 RPD (Pro) 50 requests/day (up to 1000 with $10 topup)
Capabilities
Reasoning
No specific data
Performance Tier
A-Tier (Excellent) B-Tier (Strong)
Speed Estimate
⚡ Very Fast 🐢 Slower (Reasoning)
Primary Use Case
⚡ Fast Chat & Apps 🧠 Complex Reasoning
Model Size
~1.5T (estimated) 70B
Limitations
  • Data used for training (Unpaid tier)
  • Rate limits are enforced per minute/day
  • No SLA for free tier
  • Limits depend on account history/topup
  • Community key models
  • Free models have lower priority during peak demand
Key Strengths
  • Multimodal Capabilities
  • Huge Context Window (up to 2M tokens)
  • Fast Inference Speed
  • Unified API for 100+ models from all providers
  • OpenAI-compatible endpoint (drop-in replacement)
  • Automatic model fallback and routing

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