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 405B Instruct

S-TIER

DeepInfra

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

Llama 3.1 405B Instruct Wins

With an intelligence score of 92/100 vs 85/100, Llama 3.1 405B Instruct outperforms Moonshot Kimi K2 by 7 points.

HEAD-TO-HEAD

Detailed Comparison

Feature
Moonshot Kimi K2
Llama 3.1 405B Instruct
Context Window
1k RPD, 10k TPM 128K
Architecture
Transformer Transformer (Open Weight)
Est. MMLU Score
~80-84% ~85-87%
Release Date
2024 Jul 2024
Pricing Model
Free Tier Paid / Commercial
Rate Limit (RPM)
30 RPM, 14.4k RPD 60 RPM (varies by model)
Daily Limit
14,400 Requests/Day Credit-based (no daily cap)
Capabilities
No specific data
Reasoning
Performance Tier
A-Tier (Excellent) A-Tier (Excellent)
Speed Estimate
Medium 🐢 Slower (Reasoning)
Primary Use Case
General Purpose General Purpose
Model Size
Undisclosed 405B
Limitations
  • Test
  • $5 credit is one-time only
  • Credits expire after 90 days
  • Rate limits vary by model
Key Strengths
  • LPU Accelerated
  • Extremely Fast Inference
  • Open Source Models
  • OpenAI-compatible API (drop-in replacement)
  • 40+ open-source models hosted
  • Fast inference with optimized serving

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