Battle of the Models

Compare specific LLM models, context windows, and capabilities.

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Mixtral 8x7B Instruct

A-TIER

Friendli AI

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

Meta: Llama 3.3 70B Instruct (free)

S-TIER

OpenRouter

Intelligence Score 94/100
Context Window 128k
Pricing Model Free / Open
Model Popularity 0 votes
FINAL VERDICT

Meta: Llama 3.3 70B Instruct (free) Wins

With an intelligence score of 94/100 vs 86/100, Meta: Llama 3.3 70B Instruct (free) outperforms Mixtral 8x7B Instruct by 8 points.

HEAD-TO-HEAD

Detailed Comparison

Feature
Mixtral 8x7B Instruct
Meta: Llama 3.3 70B Instruct (free)
Context Window
32K 128k
Architecture
Mixture of Experts (MoE) Transformer (Open Weight)
Est. MMLU Score
~80-84% ~88-91%
Release Date
2024 Dec 2024
Pricing Model
Paid / Commercial Free Tier
Rate Limit (RPM)
60 RPM 20 requests/minute
Daily Limit
Credit-based 50 requests/day (up to 1000 with $10 topup)
Capabilities
Multilingual
No specific data
Performance Tier
A-Tier (Excellent) S-Tier (Elite)
Speed Estimate
⚡ Very Fast ⚡ Fast
Primary Use Case
General Purpose General Purpose
Model Size
7B 70B
Limitations
  • $10 credit is one-time trial
  • Billing required after credits
  • Limited model selection
  • Limits depend on account history/topup
  • Community key models
  • Free models have lower priority during peak demand
Key Strengths
  • Optimized inference engine (FriendliEngine)
  • OpenAI-compatible API endpoints
  • Enterprise-grade uptime
  • Unified API for 100+ models from all providers
  • OpenAI-compatible endpoint (drop-in replacement)
  • Automatic model fallback and routing

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