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Vicuna 13B V1.5 on Together AI

Vicuna · LMSYS Org

Serverless

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

Why use Vicuna 13B V1.5 on Together AI?

Together AI offers Vicuna 13B V1.5 with pay-as-you-go pricing at $0.30/1M input tokens. Together AI is a platform for running open-source and proprietary LLMs with fast serverless and dedicated endpoints at competitive inference pricing.

Input / 1M
$0.30
Output / 1M
$0.30
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="vicuna-13b-v1.5",
Model ID
vicuna-13b-v1.5

Request example

from together import Together

client = Together()  # reads TOGETHER_API_KEY from env
response = client.chat.completions.create(
    model="vicuna-13b-v1.5",
    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.

Pricing

TypePrice (per 1M)
Input tokens$0.30
Output tokens$0.30

Capabilities

Structured Outputs

About Vicuna 13B V1.5

Vicuna 13B V1.5, developed by LMSYS, is a large language model designed for chat assistance, fine-tuned from Llama 2 using the transformer architecture. It underwent supervised instruction fine-tuning with around 125,000 conversations from ShareGPT. The model excels in text generation, conversational dialogue, and Q&A tasks, primarily intended for research. While its responses are high-quality and polite, it may lack domain-specific insights, exhibit limited contextual understanding, and display inherited biases. Quantized versions of the model provide trade-offs between size, speed, and accuracy 129.

FAQ

What does Vicuna 13B V1.5 cost on Together AI?

On Together AI, Vicuna 13B V1.5 costs $0.3 per 1M input tokens and $0.3 per 1M output tokens.

What is the context window for Vicuna 13B V1.5 on Together AI?

Vicuna 13B V1.5 supports a 2,000 token context window on Together AI.

Who created Vicuna 13B V1.5?

Vicuna 13B V1.5 was created by LMSYS Org as part of the Vicuna model family.

Is Vicuna 13B V1.5 open source?

Vicuna 13B V1.5's open source status is unknown in the seed data.

Get Started

Model Specs

Released2023-10-23
Parameters13B
Context2K
ArchitectureDecoder Only

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