Battle of the Models

Compare specific LLM models, context windows, and capabilities.

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This model is no longer active/free — kept for reference.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

DeepSeek-V4 Pro

A-TIER

DeepSeek

Intelligence Score 80/100
Context Window 128K
Pricing Model Commercial / Paid
Model Popularity 0 votes
FINAL VERDICT

Mixtral 8x7B Instruct Wins

With an intelligence score of 86/100 vs 80/100, Mixtral 8x7B Instruct outperforms DeepSeek-V4 Pro by 6 points.

HEAD-TO-HEAD

Detailed Comparison

Feature
Mixtral 8x7B Instruct
DeepSeek-V4 Pro
Context Window
32K 128K
Architecture
Mixture of Experts (MoE) Dense Transformer
Est. MMLU Score
~80-84% ~75-79%
Release Date
2024 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) B-Tier (Strong)
Speed Estimate
⚡ Very Fast Medium
Primary Use Case
General Purpose General Purpose
Model Size
7B Undisclosed
Limitations
  • $10 credit is one-time trial
  • Billing required after credits
  • Limited model selection
  • 10M tokens is one-time only
  • API can be slow during peak hours (Chinese business hours)
  • Rate limiting during high demand periods
Key Strengths
  • Optimized inference engine (FriendliEngine)
  • OpenAI-compatible API endpoints
  • Enterprise-grade uptime
  • DeepSeek-R1: OpenAI o1-level reasoning (open-source)
  • Mixture-of-Experts architecture for efficiency
  • OpenAI-compatible API (drop-in replacement)

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