Using Yi Large on Fireworks AI

Implementation guide · Yi · 01.AI

ProvisionedOpen Source

Fireworks AI exposes Yi Large through model ID yi-large. Use the setup steps, sourced pricing, capabilities, and official provider links below to validate this route before deployment.

Last refreshed 2026-04-15. Next refresh: weekly.

Quick Start

1
Create an account at Fireworks AI and generate an API key.
2
Use the Fireworks AI SDK or REST API to call yi-large — see the documentation for request format.
3
You'll be billed $0.90/1M input, $0.90/1M output tokens. See full pricing.

API Portal Documentation Pricing

Code Examples

Install

pip install openai

API key

FIREWORKS_API_KEY

Model ID

yi-large

Fireworks model IDs use "accounts/fireworks/models/{model-name}" format, e.g. "accounts/fireworks/models/llama4-scout-instruct-basic" or "accounts/fireworks/models/deepseek-r1".

import os
from openai import OpenAI

client = OpenAI(
    api_key=os.environ["FIREWORKS_API_KEY"],
    base_url="https://api.fireworks.ai/inference/v1"
)
response = client.chat.completions.create(
    model="yi-large",
    messages=[{"role": "user", "content": "Hello"}]
)
print(response.choices[0].message.content)

Pricing on Fireworks AI

Type	Price (per 1M)
Input tokens	$0.90
Output tokens	$0.90

Capabilities

No model capability flags are currently sourced.

About Yi Large

High-performance Yi Large model from 01.AI with 32K context window trained on 3T multilingual tokens. Excels in knowledge search, data classification, and chatbot conversations with competitive pricing and fine-tuning support.

Full model details →

Model Specs

Released2024-11-29

Context32k

ArchitectureDecoder Only

San Mateo, California, United States