Battle of the Models

Compare specific LLM models, context windows, and capabilities.

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Gemini 1.5 Flash

A-TIER

Google AI Studio

Intelligence Score 85/100
Model Popularity 0 votes
Context Window 1M Context, 15 RPM
Pricing Model Free / Open

Mistral Nemo

A-TIER

Mistral (La Plateforme)

Intelligence Score 80/100
Context Window 128k
Pricing Model Free / Open
Model Popularity 0 votes
FINAL VERDICT

Gemini 1.5 Flash Wins

With an intelligence score of 85/100 vs 80/100, Gemini 1.5 Flash outperforms Mistral Nemo by 5 points.

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

Detailed Comparison

Feature
Gemini 1.5 Flash
Mistral Nemo
Context Window
1M Context, 15 RPM 128k
Architecture
Transformer (Proprietary) Transformer (Open Weight)
Est. MMLU Score
~80-84% ~75-79%
Release Date
Feb-May 2024 2024
Pricing Model
Free Tier Free Tier
Rate Limit (RPM)
2-15 RPM 1 request/second
Daily Limit
1,500 RPD (Flash) / 50 RPD (Pro) -
Capabilities
Multimodal
No specific data
Performance Tier
A-Tier (Excellent) B-Tier (Strong)
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
  • Phone verification required
  • Data training opt-in required
  • 1 request/second rate limit
Key Strengths
  • Multimodal Capabilities
  • Huge Context Window (up to 2M tokens)
  • Fast Inference Speed
  • Access to Mistral's open-weight models
  • OpenAI-compatible API endpoints
  • Function calling support

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