Fireworks AI exposes Yi 9B through model ID yi-9b. Use the setup steps, sourced pricing, capabilities, and official provider links below to validate this route before deployment.
Last refreshed 2026-05-19. Next refresh: weekly.
Quick Start
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Code Examples
Install
pip install openaiAPI key
FIREWORKS_API_KEYModel ID
yi-9bFireworks 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-9b",
messages=[{"role": "user", "content": "Hello"}]
)
print(response.choices[0].message.content)Pricing on Fireworks AI
| Type | Price (per 1M) |
|---|---|
| Input tokens | $0.20 |
| Output tokens | $0.20 |
Capabilities
No model capability flags are currently sourced.
About Yi 9B
9B enhanced bilingual model from the Yi series trained on 3.9T tokens with significant improvements in coding and math tasks. Offers strong dual-language performance for production applications.
Model Specs
Released2024-03-06
Parameters9B
Context4k
ArchitectureDecoder Only
Knowledge cutoff2023-06