Battle of the Models

Compare specific LLM models, context windows, and capabilities.

No matches found
VS
No matches found

DeepSeek: R1 (free)

OpenRouter

Intelligence Score 65/100
Model Popularity 0 votes
Context Window 128k
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

Mixtral 8x7B Instruct Wins

With an intelligence score of 86/100 vs 65/100, Mixtral 8x7B Instruct outperforms DeepSeek: R1 (free) by 21 points.

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

Detailed Comparison

Feature
DeepSeek: R1 (free)
Mixtral 8x7B Instruct
Context Window
128k 32K
Architecture
Dense Transformer Mixture of Experts (MoE)
Est. MMLU Score
~60-64% ~80-84%
Release Date
2024 2024
Pricing Model
Free Tier Paid / Commercial
Rate Limit (RPM)
20 requests/minute 60 RPM
Daily Limit
50 requests/day (up to 1000 with $10 topup) Credit-based
Capabilities
No specific data
Multilingual
Performance Tier
C-Tier (Good) A-Tier (Excellent)
Speed Estimate
🐢 Slower (Reasoning) ⚡ Very Fast
Primary Use Case
🧠 Complex Reasoning General Purpose
Model Size
Undisclosed 7B
Limitations
  • Limits depend on account history/topup
  • Community key models
  • Free models have lower priority during peak demand
  • $10 credit is one-time trial
  • Billing required after credits
  • Limited model selection
Key Strengths
  • Unified API for 100+ models from all providers
  • OpenAI-compatible endpoint (drop-in replacement)
  • Automatic model fallback and routing
  • Optimized inference engine (FriendliEngine)
  • OpenAI-compatible API endpoints
  • Enterprise-grade uptime

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