Battle of the Models

Compare specific LLM models, context windows, and capabilities.

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VS
No matches found

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

Mixtral 8x7B

A-TIER

Mistral (La Plateforme)

Intelligence Score 86/100
Context Window 32k
Pricing Model Free / Open
Model Popularity 0 votes
FINAL VERDICT

Gemini 1.5 Pro Wins

With an intelligence score of 90/100 vs 86/100, Gemini 1.5 Pro outperforms Mixtral 8x7B by 4 points.

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

Detailed Comparison

Feature
Gemini 1.5 Pro
Mixtral 8x7B
Context Window
2M Context, 2 RPM 32k
Architecture
Transformer (Proprietary) Mixture of Experts (MoE)
Est. MMLU Score
~85-87% ~80-84%
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
Reasoning
No specific data
Performance Tier
A-Tier (Excellent) A-Tier (Excellent)
Speed Estimate
âš¡ Very Fast âš¡ Very Fast
Primary Use Case
âš¡ Fast Chat & Apps General Purpose
Model Size
~1.5T (estimated) 7B
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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