Battle of the Models

Compare specific LLM models, context windows, and capabilities.

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Llama 3.3 70B Instruct

S-TIER

Fireworks AI

Intelligence Score 94/100
Model Popularity 0 votes
Context Window 128K
Pricing Model Commercial / Paid
View Provider Analysis →

Mixtral 8x7B Instruct

A-TIER

Friendli AI

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

Llama 3.3 70B Instruct Wins

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

HEAD-TO-HEAD

Detailed Comparison

Feature
Llama 3.3 70B Instruct
Mixtral 8x7B Instruct
Context Window
128K 32K
Architecture
Transformer (Open Weight) Mixture of Experts (MoE)
Est. MMLU Score
~88-91% ~80-84%
Release Date
Dec 2024 2024
Pricing Model
Paid / Commercial Paid / Commercial
Rate Limit (RPM)
600 RPM 60 RPM
Daily Limit
Credit-based Credit-based
Capabilities
No specific data
Multilingual
Performance Tier
S-Tier (Elite) A-Tier (Excellent)
Speed Estimate
⚡ Fast ⚡ Very Fast
Primary Use Case
General Purpose General Purpose
Model Size
70B 7B
Limitations
  • $1 credit is one-time only
  • Billing account needed for continued use
  • Rate limits apply to free tier
  • $10 credit is one-time trial
  • Billing required after credits
  • Limited model selection
Key Strengths
  • Blazing Fast Inference
  • Fire-Function-v1: Optimized for tool use
  • JSON Mode: Guaranteed structure
  • Optimized inference engine (FriendliEngine)
  • OpenAI-compatible API endpoints
  • Enterprise-grade uptime

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meta/llama-3-70b-instruct