Battle of the Models

Compare specific LLM models, context windows, and capabilities.

No matches found
VS
No matches found

Moonshot Kimi K2

A-TIER

Groq

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

DeepSeek V3

S-TIER

DeepInfra

Intelligence Score 94/100
Context Window 64K
Pricing Model Commercial / Paid
Model Popularity 0 votes
View Provider Analysis →
FINAL VERDICT

DeepSeek V3 Wins

With an intelligence score of 94/100 vs 85/100, DeepSeek V3 outperforms Moonshot Kimi K2 by 9 points.

HEAD-TO-HEAD

Detailed Comparison

Feature
Moonshot Kimi K2
DeepSeek V3
Context Window
1k RPD, 10k TPM 64K
Architecture
Transformer Dense Transformer
Est. MMLU Score
~80-84% ~88-91%
Release Date
2024 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) S-Tier (Elite)
Speed Estimate
Medium Medium
Primary Use Case
General Purpose General Purpose
Model Size
Undisclosed Undisclosed
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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