Battle of the Models

Compare specific LLM models, context windows, and capabilities.

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Gemini 1.5 Pro (via Coze)

S-TIER

Coze

Intelligence Score 90/100
Model Popularity 0 votes
Context Window 1M
Pricing Model Free / Open

Mixtral 8x22B Instruct

A-TIER

DeepInfra

Intelligence Score 89/100
Context Window 64K
Pricing Model Commercial / Paid
Model Popularity 0 votes
FINAL VERDICT

Gemini 1.5 Pro (via Coze) Wins

With an intelligence score of 90/100 vs 89/100, Gemini 1.5 Pro (via Coze) outperforms Mixtral 8x22B Instruct by 1 point.

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

Detailed Comparison

Feature
Gemini 1.5 Pro (via Coze)
Mixtral 8x22B Instruct
Context Window
1M 64K
Architecture
Transformer (Proprietary) Mixture of Experts (MoE)
Est. MMLU Score
~85-87% ~80-84%
Release Date
Feb-May 2024 2024
Pricing Model
Free Tier Paid / Commercial
Rate Limit (RPM)
Varies by model 60 RPM (varies by model)
Daily Limit
Token-based daily limits Credit-based (no daily cap)
Capabilities
No specific data
Reasoning Multilingual
Performance Tier
A-Tier (Excellent) A-Tier (Excellent)
Speed Estimate
⚡ Very Fast Medium
Primary Use Case
⚡ Fast Chat & Apps General Purpose
Model Size
~1.5T (estimated) 22B
Limitations
  • Daily token limits on free tier
  • Platform-specific API format
  • Bot-centric usage model
  • $5 credit is one-time only
  • Credits expire after 90 days
  • Rate limits vary by model
Key Strengths
  • Visual bot/agent builder
  • Multi-model access (GPT-4o, Gemini)
  • Plugin marketplace
  • OpenAI-compatible API (drop-in replacement)
  • 40+ open-source models hosted
  • Fast inference with optimized serving

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