Fireworks AI exposes Yi 34B 200K through model ID yi-34b-200k. Use the setup steps, sourced pricing, capabilities, and official provider links below to validate this route before deployment.
Last refreshed 2026-09-22. Next refresh: weekly.
Quick Start
- 1
- 2Use the Fireworks AI SDK or REST API to call
yi-34b-200k— see the documentation for request format. - 3
Code Examples
pip install openaiFIREWORKS_API_KEYyi-34b-200kFireworks 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-34b-200k",
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 34B 200K
The Yi 34B 200K is a sophisticated large language model by 01.AI that excels in varied NLP tasks, featuring an impressive 34 billion parameters and a 200,000-token context window to handle extensive text inputs. Built on a Transformer architecture, it differentiates itself from models like Llama by employing unique training methods such as Grouped-Query Attention and RoPE with adjusted base frequency. It showcases strengths in language comprehension, commonsense reasoning, and bilingual support for English and Chinese. Despite its advanced capabilities, it shares common LLM limitations like hallucination and non-determinism.