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
View Provider Analysis →

Moonshot Kimi K2 0905

A-TIER

Groq

Intelligence Score 85/100
Context Window 1k RPD, 10k TPM
Pricing Model Free / Open
Model Popularity 0 votes
View Provider Analysis →
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 0905 by 7 points.

HEAD-TO-HEAD

Detailed Comparison

Feature
Llama 3.1 405B Instruct
Moonshot Kimi K2 0905
Context Window
128K 1k RPD, 10k TPM
Architecture
Transformer (Open Weight) Transformer
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) 30 RPM, 14.4k RPD
Daily Limit
Credit-based (no daily cap) 14,400 Requests/Day
Capabilities
Reasoning
No specific data
Performance Tier
A-Tier (Excellent) A-Tier (Excellent)
Speed Estimate
🐢 Slower (Reasoning) Medium
Primary Use Case
General Purpose General Purpose
Model Size
405B Undisclosed
Limitations
  • $5 credit is one-time only
  • Credits expire after 90 days
  • Rate limits vary by model
  • Test
Key Strengths
  • OpenAI-compatible API (drop-in replacement)
  • 40+ open-source models hosted
  • Fast inference with optimized serving
  • LPU Accelerated
  • Extremely Fast Inference
  • Open Source Models

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