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  1. Home
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  3. Compare

Kimi K2 Thinking vs DeepSeek V3.1 Nex N1

Compare Kimi K2 Thinking from moonshotai and DeepSeek V3.1 Nex N1 from nex-agi on key metrics including benchmarks, price, context length, and other model features. Access both models and hundreds of others through the OpenRouter API.

Favicon for moonshotai
Kimi K2 Thinking
Favicon for nex-agi
DeepSeek V3.1 Nex N1
Favicon for moonshotai
Kimi K2 Thinking
Favicon for nex-agi
DeepSeek V3.1 Nex N1

Overview

Kimi K2 Thinking
Author
moonshotai
DeepSeek V3.1 Nex N1
Author
nex-agi
Kimi K2 Thinking
Context length
262Ktokens
DeepSeek V3.1 Nex N1
Context length
8Ktokens
Kimi K2 Thinking
Reasoning
DeepSeek V3.1 Nex N1
Reasoning
Kimi K2 Thinking
Input modalities
DeepSeek V3.1 Nex N1
Input modalities
Kimi K2 Thinking
Output modalities
DeepSeek V3.1 Nex N1
Output modalities

Kimi K2 Thinking vs DeepSeek V3.1 Nex N1: side-by-side summary

Kimi K2 Thinking and DeepSeek V3.1 Nex N1 are available through the OpenRouter API, so switching between them takes a model slug change rather than a new integration.

Kimi K2 Thinking, from moonshotai, has a 262,144-token context window and is priced at $0.60/M tokens input, $2.50/M tokens output on OpenRouter.

DeepSeek V3.1 Nex N1, from nex-agi, has a 8,192-token context window and is priced by the provider serving it on OpenRouter.

Context window
  • Kimi K2 Thinking: 262,144 tokens
  • DeepSeek V3.1 Nex N1: 8,192 tokens
Price
  • Kimi K2 Thinking: $0.60/M tokens input, $2.50/M tokens output
  • DeepSeek V3.1 Nex N1: Pricing varies by provider
Provided by
  • Kimi K2 Thinking: moonshotai
  • DeepSeek V3.1 Nex N1: nex-agi
  • model details, providers and pricing
Kimi K2 Thinking
model details, providers and pricing
DeepSeek V3.1 Nex N1