Battle of the Models

Compare specific LLM models, context windows, and capabilities.

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No matches found

DeepSeek-R1

S-TIER

Chutes.ai

Intelligence Score 97/100
Model Popularity 0 votes
Context Window 64K
Pricing Model Free / Open

Mixtral 8x7B Instruct

A-TIER

Friendli AI

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

DeepSeek-R1 Wins

With an intelligence score of 97/100 vs 86/100, DeepSeek-R1 outperforms Mixtral 8x7B Instruct by 11 points.

HEAD-TO-HEAD

Detailed Comparison

Feature
DeepSeek-R1
Mixtral 8x7B Instruct
Context Window
64K 32K
Architecture
Dense Transformer Mixture of Experts (MoE)
Est. MMLU Score
~92-95% ~80-84%
Release Date
Jan 2025 2024
Pricing Model
Free Tier Paid / Commercial
Rate Limit (RPM)
Varies (community capacity) 60 RPM
Daily Limit
Subject to availability Credit-based
Capabilities
Reasoning
Multilingual
Performance Tier
S-Tier (Elite) A-Tier (Excellent)
Speed Estimate
🐢 Slower (Reasoning) ⚡ Very Fast
Primary Use Case
🧠 Complex Reasoning General Purpose
Model Size
Undisclosed 7B
Limitations
  • Availability depends on community GPU donors
  • Speed varies with demand
  • Models may be temporarily unavailable
  • $10 credit is one-time trial
  • Billing required after credits
  • Limited model selection
Key Strengths
  • Community-powered GPU network
  • Free access to large open-source models
  • OpenAI-compatible API format
  • Optimized inference engine (FriendliEngine)
  • OpenAI-compatible API endpoints
  • Enterprise-grade uptime

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