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DeepSeek V3.2 vs Gemini Embedding 001

Compare DeepSeek V3.2 from DeepSeek and Gemini Embedding 001 from Google on key metrics including benchmarks, price, context length, and other model features. Access both models and hundreds of others through the OpenRouter API.

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DeepSeek V3.2 vs Gemini Embedding 001: side-by-side summary

DeepSeek V3.2 and Gemini Embedding 001 are available through the OpenRouter API, so switching between them takes a model slug change rather than a new integration.

DeepSeek V3.2, from DeepSeek, has a 163,840-token context window and is priced at $0.2088/M tokens input, $0.3096/M tokens output on OpenRouter.

Gemini Embedding 001, from Google, has a 20,000-token context window and is priced at $0.15/M tokens on OpenRouter.

Context window
  • DeepSeek V3.2: 163,840 tokens
  • Gemini Embedding 001: 20,000 tokens
Price
  • DeepSeek V3.2: $0.2088/M tokens input, $0.3096/M tokens output
  • Gemini Embedding 001: $0.15/M tokens
Provided by
  • DeepSeek V3.2: DeepSeek
  • Gemini Embedding 001: Google
  • DeepSeek V3.2 model details, providers and pricing
  • Gemini Embedding 001 model details, providers and pricing
Favicon for deepseek
DeepSeek V3.2
Favicon for google
Gemini Embedding 001
Favicon for deepseek
DeepSeek V3.2
Favicon for google
Gemini Embedding 001

Overview

DeepSeek V3.2
Author
DeepSeek
Gemini Embedding 001
Author
Google
DeepSeek V3.2
Context length
164Ktokens
Gemini Embedding 001
Context length
20Ktokens
DeepSeek V3.2
Reasoning
Gemini Embedding 001
Reasoning
DeepSeek V3.2
Input modalities
Gemini Embedding 001
Input modalities
DeepSeek V3.2
Output modalities
Gemini Embedding 001
Output modalities