Battle of the Models

Compare specific LLM models, context windows, and capabilities.

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Llama 3.1 405B Instruct

S-TIER

DeepInfra

Intelligence Score 92/100
Model Popularity 0 votes
Context Window 128K
Pricing Model Commercial / Paid

Mixtral 8x7B

A-TIER

Mistral (La Plateforme)

Intelligence Score 86/100
Context Window 32k
Pricing Model Free / Open
Model Popularity 0 votes
FINAL VERDICT

Llama 3.1 405B Instruct Wins

With an intelligence score of 92/100 vs 86/100, Llama 3.1 405B Instruct outperforms Mixtral 8x7B by 6 points.

HEAD-TO-HEAD

Detailed Comparison

Feature
Llama 3.1 405B Instruct
Mixtral 8x7B
Context Window
128K 32k
Architecture
Transformer (Open Weight) Mixture of Experts (MoE)
Est. MMLU Score
~85-87% ~80-84%
Release Date
Jul 2024 2024
Pricing Model
Paid / Commercial Free Tier
Rate Limit (RPM)
60 RPM (varies by model) 1 request/second
Daily Limit
Credit-based (no daily cap) -
Capabilities
Reasoning
No specific data
Performance Tier
A-Tier (Excellent) A-Tier (Excellent)
Speed Estimate
🐢 Slower (Reasoning) ⚡ Very Fast
Primary Use Case
General Purpose General Purpose
Model Size
405B 7B
Limitations
  • $5 credit is one-time only
  • Credits expire after 90 days
  • Rate limits vary by model
  • Phone verification required
  • Data training opt-in required
  • 1 request/second rate limit
Key Strengths
  • OpenAI-compatible API (drop-in replacement)
  • 40+ open-source models hosted
  • Fast inference with optimized serving
  • Access to Mistral's open-weight models
  • OpenAI-compatible API endpoints
  • Function calling support

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