Battle of the Models

Compare specific LLM models, context windows, and capabilities.

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Moonshot Kimi K2

A-TIER

Groq

Intelligence Score 85/100
Model Popularity 0 votes
Context Window 1k RPD, 10k TPM
Pricing Model Free / Open

Llama 3.1 8B Instruct

A-TIER

Cloudflare Workers AI

Intelligence Score 80/100
Context Window 128K
Pricing Model Free / Open
Model Popularity 0 votes
FINAL VERDICT

Moonshot Kimi K2 Wins

With an intelligence score of 85/100 vs 80/100, Moonshot Kimi K2 outperforms Llama 3.1 8B Instruct by 5 points.

Close Match: The difference is minimal. Consider other factors like pricing and features.
HEAD-TO-HEAD

Detailed Comparison

Feature
Moonshot Kimi K2
Llama 3.1 8B Instruct
Context Window
1k RPD, 10k TPM 128K
Architecture
Transformer Transformer (Open Weight)
Est. MMLU Score
~80-84% ~75-79%
Release Date
2024 Jul 2024
Pricing Model
Free Tier Free Tier
Rate Limit (RPM)
30 RPM, 14.4k RPD Varies by model
Daily Limit
14,400 Requests/Day 10,000 neurons/day
Capabilities
No specific data
Reasoning
Performance Tier
A-Tier (Excellent) B-Tier (Strong)
Speed Estimate
Medium âš¡ Very Fast
Primary Use Case
General Purpose General Purpose
Model Size
Undisclosed 8B
Limitations
  • Test
  • 10,000 neurons/day cap (varies per model)
  • Larger models consume more neurons per request
  • No fine-tuning support
Key Strengths
  • LPU Accelerated
  • Extremely Fast Inference
  • Open Source Models
  • Edge inference: runs closest to user
  • 50+ models: LLM, image gen, classification, speech
  • Workers integration for serverless apps

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