Using Dolphin 2.5 Mixtral 8x7B on Together AI
Implementation guide · Dolphin · Cognitive Computations
Together AI exposes Dolphin 2.5 Mixtral 8x7B through model ID dolphin-2.5-mixtral-8x7b. Use the setup steps, sourced pricing, capabilities, and official provider links below to validate this route before deployment.
Last refreshed 2026-06-15. Next refresh: weekly.
Quick Start
- 1
- 2Use the Together AI SDK or REST API to call
dolphin-2.5-mixtral-8x7b— see the documentation for request format. - 3
Code Examples
pip install togetherTOGETHER_API_KEYdolphin-2.5-mixtral-8x7bTogether 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.
from together import Together
client = Together() # reads TOGETHER_API_KEY from env
response = client.chat.completions.create(
model="dolphin-2.5-mixtral-8x7b",
messages=[{"role": "user", "content": "Hello"}]
)
print(response.choices[0].message.content)Pricing on Together AI
| Type | Price (per 1M) |
|---|---|
| Input tokens | $0.60 |
| Output tokens | $0.60 |
Capabilities
No model capability flags are currently sourced.
About Dolphin 2.5 Mixtral 8x7B
The Dolphin 2.5 Mixtral 8x7B is a sophisticated large language model designed primarily for coding tasks, known for its proficiency across diverse programming languages including Kotlin. It utilizes the Mixtral-8x7b architecture and has been fine-tuned on datasets like Dolphin-Coder and MagiCoder, employing qLoRA and Axolotl during training. Featuring a 16k context window for fine-tuning and a base context window of 32k, it offers powerful yet uncensored capabilities, allowing it to handle a wide range of prompts, albeit this introduces ethical considerations.