Last refreshed 2026-05-01. Next refresh: weekly.
Why use Dolphin 2.9.2 Qwen2-72B on Fireworks AI?
Fireworks AI offers Dolphin 2.9.2 Qwen2-72B with pay-as-you-go pricing at $0.90/1M input tokens. Fireworks AI offers a generative AI platform as a service, focusing on rapid product iteration and cost-efficient AI deployment.
Input / 1M
$0.90
Output / 1M
$0.90
Cache
Not sourced
Batch
Not sourced
Setup recipe
Python + curlInstall
pip install openaiAuth
export FIREWORKS_API_KEY=...Call
import os
from openai import OpenAI
client = OpenAI(
api_key=os.environ["FIREWORKS_API_KEY"],Model ID
accounts/fireworks/models/dolphin-2-9-2-qwen2-72bRequest example
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="accounts/fireworks/models/dolphin-2-9-2-qwen2-72b",
messages=[{"role": "user", "content": "Hello"}]
)
print(response.choices[0].message.content)Gotchas
- Use provider model ID "accounts/fireworks/models/dolphin-2-9-2-qwen2-72b", not the LLMReference slug "dolphin-2.9.2-qwen2-72b".
- 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".
- The examples expect FIREWORKS_API_KEY; rename it only if your application config maps the new variable.
Pricing
| Type | Price (per 1M) |
|---|---|
| Input tokens | $0.90 |
| Output tokens | $0.90 |
Capabilities
JSON / Tool use
About Dolphin 2.9.2 Qwen2-72B
Dolphin 2.9.2 Qwen2-72B is Cognitive Computations' uncensored full-weight fine-tune of Qwen2-72B. The model card documents ChatML formatting, initial agentic abilities, and function calling support; it also notes the Qwen2 base has a 128K context window while the fine-tune used 8K training sequences. Because Dolphin removes much of the usual alignment filtering, deployments should add their own moderation and policy layer before exposing it as a public service.
Get Started
Model Specs
Released2024-05-27
Parameters72B
Context128k
ArchitectureDecoder Only