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Jamba Mini 1.7 vs DeepSeek V3.2 Exp

Compare Jamba Mini 1.7 from AI21 and DeepSeek V3.2 Exp from DeepSeek 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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Jamba Mini 1.7 vs DeepSeek V3.2 Exp: side-by-side summary

Jamba Mini 1.7 and DeepSeek V3.2 Exp are available through the OpenRouter API, so switching between them takes a model slug change rather than a new integration.

Jamba Mini 1.7, from AI21, has a 256,000-token context window and is priced by the provider serving it on OpenRouter.

DeepSeek V3.2 Exp, from DeepSeek, has a 163,840-token context window and is priced at $0.27/M tokens input, $0.41/M tokens output on OpenRouter.

Context window
  • Jamba Mini 1.7: 256,000 tokens
  • DeepSeek V3.2 Exp: 163,840 tokens
Price
  • Jamba Mini 1.7: Pricing varies by provider
  • DeepSeek V3.2 Exp: $0.27/M tokens input, $0.41/M tokens output
Provided by
  • Jamba Mini 1.7: AI21
  • DeepSeek V3.2 Exp: DeepSeek
  • Jamba Mini 1.7 model details, providers and pricing
  • DeepSeek V3.2 Exp model details, providers and pricing
Favicon for ai21
Jamba Mini 1.7
Favicon for deepseek
DeepSeek V3.2 Exp
Favicon for ai21
Jamba Mini 1.7
Favicon for deepseek
DeepSeek V3.2 Exp

Overview

Jamba Mini 1.7
Author
AI21
DeepSeek V3.2 Exp
Author
DeepSeek
Jamba Mini 1.7
Context length
256Ktokens
DeepSeek V3.2 Exp
Context length
164Ktokens
Jamba Mini 1.7
Reasoning
DeepSeek V3.2 Exp
Reasoning
Jamba Mini 1.7
Input modalities
DeepSeek V3.2 Exp
Input modalities
Jamba Mini 1.7
Output modalities
DeepSeek V3.2 Exp
Output modalities