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OLMo 7B Twin-2T on Together AI

OLMo · Allen Institute for Artificial Intelligence (AI2)

Serverless

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

Why use OLMo 7B Twin-2T on Together AI?

Together AI offers OLMo 7B Twin-2T 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.

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="olmo-7b-twin-2t",
Model ID
olmo-7b-twin-2t

Request example

from together import Together

client = Together()  # reads TOGETHER_API_KEY from env
response = client.chat.completions.create(
    model="olmo-7b-twin-2t",
    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$0.20
Output tokens$0.20

Capabilities

Structured Outputs

About OLMo 7B Twin-2T

The OLMo 7B Twin-2T is a robust open-source large language model that implements a decoder-only transformer architecture with enhancements for greater stability and performance. It features non-parametric layer normalization and SwiGLU activation functions, along with Rotary positional embeddings for better sequence handling. The model, comprising 32 layers and 32 attention heads, was trained on approximately 2 trillion tokens and supports a context length of 2048. It is notable for its transparency in AI research, as all training data, code, and evaluations are publicly accessible, promoting collaborative advancements. The model excels in various NLP tasks and has options for fine-tuning, while its developers advocate for responsible AI usage to mitigate risks of bias and inaccuracies.

FAQ

What does OLMo 7B Twin-2T cost on Together AI?

On Together AI, OLMo 7B Twin-2T costs $0.2 per 1M input tokens and $0.2 per 1M output tokens.

Who created OLMo 7B Twin-2T?

OLMo 7B Twin-2T was created by Allen Institute for Artificial Intelligence (AI2) as part of the OLMo model family.

Is OLMo 7B Twin-2T open source?

OLMo 7B Twin-2T's open source status is unknown in the seed data.

Get Started

Model Specs

Released2024-02-01
Parameters7B
ArchitectureDecoder Only

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