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Nous Capybara 7B V1.9 on Together AI

Capybara · Nous Research

Serverless

Last refreshed 2026-05-11. Next refresh: weekly.

Why use Nous Capybara 7B V1.9 on Together AI?

Together AI offers Nous Capybara 7B V1.9 with pay-as-you-go pricing at $0.20/1M input tokens. Together AI is a platform for running open-source and proprietary LLMs with fast serverless and dedicated endpoints at competitive inference pricing.

Compare Nous Capybara 7B V1.9 across 2 providers to find the best fit for your use case
Input / 1M
$0.20
Output / 1M
$0.20
Cache
Not sourced
Batch
Not sourced

Setup recipe

Python + curl
Install
pip install together
Auth
export TOGETHER_API_KEY=...
Call
from together import Together
client = Together()  # reads TOGETHER_API_KEY from env
response = client.chat.completions.create(
    model="nous-capybara-7b-v1.9",
Model ID
nous-capybara-7b-v1.9

Request example

from together import Together

client = Together()  # reads TOGETHER_API_KEY from env
response = client.chat.completions.create(
    model="nous-capybara-7b-v1.9",
    messages=[{"role": "user", "content": "Hello"}]
)
print(response.choices[0].message.content)

Gotchas

  • Together uses "organization/model-name" format, e.g. "meta-llama/Llama-4-Scout-17B-16E-Instruct" or "Qwen/QwQ-32B". See the Together model catalog for the exact ID.
  • The examples expect TOGETHER_API_KEY; rename it only if your application config maps the new variable.

Compare Nous Capybara 7B V1.9 Across Providers

ProviderInput (per 1M)Output (per 1M)
Fireworks AI$0.20$0.20
Together AI$0.20$0.20

Pricing

TypePrice (per 1M)
Input tokens$0.20
Output tokens$0.20

Capabilities

Structured Outputs

About Nous Capybara 7B V1.9

The Nous Capybara 7B V1.9 is a cutting-edge large language model created by NousResearch, featuring 7 billion parameters. It's an advancement in the Capybara series, utilizing the novel Amplify-Instruct data synthesis technique to create a focused training dataset comprising 20,000 curated conversational examples, most of which include new, innovative tokens. Built on the Mistral architecture, it excels in multi-turn conversations, adeptly summarizing complex topics and recalling information up to late 2022. Despite its innovative framework, it faces challenges due to a smaller dataset, which may limit its generalization and introduce uncertainties related to scalability and biases. Its development is ongoing, with aims to overcome these limitations by expanding the dataset and enhancing contextual understanding.

FAQ

What does Nous Capybara 7B V1.9 cost on Together AI?

On Together AI, Nous Capybara 7B V1.9 costs $0.2 per 1M input tokens and $0.2 per 1M output tokens.

How does Together AI compare to other Nous Capybara 7B V1.9 providers?

Nous Capybara 7B V1.9 is available from 2 providers. The cheapest input pricing is $0.20/1M tokens from Fireworks AI.

Who created Nous Capybara 7B V1.9?

Nous Capybara 7B V1.9 was created by Nous Research as part of the Capybara model family.

Is Nous Capybara 7B V1.9 open source?

Nous Capybara 7B V1.9's open source status is unknown in the seed data.

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Model Specs

Released2024-10-31
Parameters7B
ArchitectureDecoder Only