Battle of the Models

Compare specific LLM models, context windows, and capabilities.

No matches found
VS
No matches found

Qwen 2.5

LLM7.io

Intelligence Score 65/100
Model Popularity 0 votes
Context Window 32K
Pricing Model Free / Open

Mixtral 8x7B Instruct

DEPRECATED

Friendli AI

This model is no longer active/free — kept for reference.

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

Mixtral 8x7B Instruct Wins

With an intelligence score of 86/100 vs 65/100, Mixtral 8x7B Instruct outperforms Qwen 2.5 by 21 points.

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

Detailed Comparison

Feature
Qwen 2.5
Mixtral 8x7B Instruct
Context Window
32K 32K
Architecture
Transformer (Open Weight) Mixture of Experts (MoE)
Est. MMLU Score
~60-64% ~80-84%
Release Date
Sep-Nov 2024 2024
Pricing Model
Free Tier Paid / Commercial
Rate Limit (RPM)
30 RPM (no signup) / 120 RPM (free email token) 60 RPM
Daily Limit
Up to 5M tokens/day (rolling 24h, with free token) Credit-based
Capabilities
No specific data
Multilingual
Performance Tier
C-Tier (Good) A-Tier (Excellent)
Speed Estimate
Medium ⚡ Very Fast
Primary Use Case
General Purpose General Purpose
Model Size
Undisclosed 7B
Limitations
  • No signup tier is heavily rate-limited (30 RPM)
  • Smaller, less well-known provider — verify uptime before production use
  • $10 credit is one-time trial
  • Billing required after credits
  • Limited model selection
Key Strengths
  • Works with zero signup
  • OpenAI-compatible endpoint — swap base_url + key
  • No signup required for basic use
  • Optimized inference engine (FriendliEngine)
  • OpenAI-compatible API endpoints
  • Enterprise-grade uptime

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