Battle of the Models

Compare specific LLM models, context windows, and capabilities.

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No matches found

Mixtral 8x7B Instruct

A-TIER

Friendli AI

Intelligence Score 86/100
Model Popularity 0 votes
Context Window 32K
Pricing Model Commercial / Paid

Gemini 1.5 Pro (via Coze)

S-TIER

Coze

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

Gemini 1.5 Pro (via Coze) Wins

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

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

Detailed Comparison

Feature
Mixtral 8x7B Instruct
Gemini 1.5 Pro (via Coze)
Context Window
32K 1M
Architecture
Mixture of Experts (MoE) Transformer (Proprietary)
Est. MMLU Score
~80-84% ~85-87%
Release Date
2024 Feb-May 2024
Pricing Model
Paid / Commercial Free Tier
Rate Limit (RPM)
60 RPM Varies by model
Daily Limit
Credit-based Token-based daily limits
Capabilities
Multilingual
No specific data
Performance Tier
A-Tier (Excellent) A-Tier (Excellent)
Speed Estimate
⚡ Very Fast ⚡ Very Fast
Primary Use Case
General Purpose ⚡ Fast Chat & Apps
Model Size
7B ~1.5T (estimated)
Limitations
  • $10 credit is one-time trial
  • Billing required after credits
  • Limited model selection
  • Daily token limits on free tier
  • Platform-specific API format
  • Bot-centric usage model
Key Strengths
  • Optimized inference engine (FriendliEngine)
  • OpenAI-compatible API endpoints
  • Enterprise-grade uptime
  • Visual bot/agent builder
  • Multi-model access (GPT-4o, Gemini)
  • Plugin marketplace

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