Battle of the Models

Compare specific LLM models, context windows, and capabilities.

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VS
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Moonshot Kimi K2 0905

DEPRECATED

Groq

This model is no longer active/free — kept for reference.

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

DeepSeek-R1

S-TIER

NVIDIA NIM

Intelligence Score 97/100
Context Window 128K
Pricing Model Commercial / Paid
Model Popularity 0 votes
View Provider Analysis →
FINAL VERDICT

DeepSeek-R1 Wins

With an intelligence score of 97/100 vs 85/100, DeepSeek-R1 outperforms Moonshot Kimi K2 0905 by 12 points.

HEAD-TO-HEAD

Detailed Comparison

Feature
Moonshot Kimi K2 0905
DeepSeek-R1
Context Window
1k RPD, 10k TPM 128K
Architecture
Transformer Dense Transformer
Est. MMLU Score
~80-84% ~92-95%
Release Date
2024 Jan 2025
Pricing Model
Free Tier Paid / Commercial
Rate Limit (RPM)
30 RPM, 14.4k RPD 40 requests/minute
Daily Limit
14,400 Requests/Day -
Capabilities
No specific data
No specific data
Performance Tier
A-Tier (Excellent) S-Tier (Elite)
Speed Estimate
Medium 🐢 Slower (Reasoning)
Primary Use Case
General Purpose 🧠 Complex Reasoning
Model Size
Undisclosed Undisclosed
Limitations
  • Test
  • Phone number verification required
  • Free credits are limited
  • Rate limits on free tier
Key Strengths
  • LPU Accelerated
  • Extremely Fast Inference
  • Open Source Models
  • High performance models

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