Battle of the Models

Compare specific LLM models, context windows, and capabilities.

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Mixtral 8x7B Instruct

A-TIER

Friendli AI

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

Qwen 1.5 7B Chat

Cloudflare Workers AI

Intelligence Score 71/100
Context Window 32K
Pricing Model Free / Open
Model Popularity 0 votes
FINAL VERDICT

Mixtral 8x7B Instruct Wins

With an intelligence score of 86/100 vs 71/100, Mixtral 8x7B Instruct outperforms Qwen 1.5 7B Chat by 15 points.

Clear Winner: Significant performance advantage for Mixtral 8x7B Instruct.
HEAD-TO-HEAD

Detailed Comparison

Feature
Mixtral 8x7B Instruct
Qwen 1.5 7B Chat
Context Window
32K 32K
Architecture
Mixture of Experts (MoE) Transformer (Open Weight)
Est. MMLU Score
~80-84% ~65-69%
Release Date
2024 2024
Pricing Model
Paid / Commercial Free Tier
Rate Limit (RPM)
60 RPM Varies by model
Daily Limit
Credit-based 10,000 neurons/day
Capabilities
Multilingual
Chinese
Performance Tier
A-Tier (Excellent) C-Tier (Good)
Speed Estimate
⚡ Very Fast ⚡ Very Fast
Primary Use Case
General Purpose General Purpose
Model Size
7B 7B
Limitations
  • $10 credit is one-time trial
  • Billing required after credits
  • Limited model selection
  • 10,000 neurons/day cap (varies per model)
  • Larger models consume more neurons per request
  • No fine-tuning support
Key Strengths
  • Optimized inference engine (FriendliEngine)
  • OpenAI-compatible API endpoints
  • Enterprise-grade uptime
  • Edge inference: runs closest to user
  • 50+ models: LLM, image gen, classification, speech
  • Workers integration for serverless apps

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