Battle of the Models

Compare specific LLM models, context windows, and capabilities.

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VS
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Mixtral 8x7B Instruct

DEPRECATED

Friendli AI

This model is no longer active/free — kept for reference.

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

Qwen 2.5 72B

S-TIER

Hyperbolic

Intelligence Score 91/100
Context Window 32K
Pricing Model Commercial / Paid
Model Popularity 0 votes
FINAL VERDICT

Qwen 2.5 72B Wins

With an intelligence score of 91/100 vs 86/100, Qwen 2.5 72B outperforms Mixtral 8x7B Instruct by 5 points.

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

Detailed Comparison

Feature
Mixtral 8x7B Instruct
Qwen 2.5 72B
Context Window
32K 32K
Architecture
Mixture of Experts (MoE) Transformer (Open Weight)
Est. MMLU Score
~80-84% ~85-87%
Release Date
2024 Sep-Nov 2024
Pricing Model
Paid / Commercial Paid / Commercial
Rate Limit (RPM)
60 RPM 60 RPM
Daily Limit
Credit-based Credit-based
Capabilities
Multilingual
No specific data
Performance Tier
A-Tier (Excellent) A-Tier (Excellent)
Speed Estimate
⚡ Very Fast ⚡ Fast
Primary Use Case
General Purpose General Purpose
Model Size
7B 72B
Limitations
  • $10 credit is one-time trial
  • Billing required after credits
  • Limited model selection
  • Credits are limited ($1)
  • Decentralized nature may vary latency
  • Billing flow involves crypto/stripe
Key Strengths
  • Optimized inference engine (FriendliEngine)
  • OpenAI-compatible API endpoints
  • Enterprise-grade uptime
  • Verifiable Inference (verified computing)
  • Low Cost due to decentralized compute
  • Privacy focused

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