## Specs & substance

### Spec sheet

- Developed by: OpenAI  
- Model family: gpt-oss  
- Category: compact  
- Modality: Text  
- Context window: 128K tokens  
- Architecture: MoE  
- Version: 120B  
- License: Apache 2.0  
- Pricing: $0.10 in $0.75 out · $0.055 cache  
- Released: Aug 2025  
- Endpoint: parasail-gpt-oss-120b

OpenAI’s open-weight model with strong reasoning at a low cost.

gpt-oss-120b is part of the gpt-oss family by OpenAI, categorized as a **compact** model. It supports a 128K tokens context window and is built on a MoE architecture.

Key strengths: reasoning, open-weight. Parasail serves gpt-oss-120b on a global fleet of current-gen GPUs behind a single OpenAI-compatible endpoint — with per-token pricing, no minimums, and dedicated capacity options when you need guaranteed throughput.

## Integrate

## Drop-in via the OpenAI SDK

Point any OpenAI-compatible chat client at Parasail and change the model name. That's it.

### Python
```python
from openai import OpenAI

client = OpenAI(
    api_key="YOUR_API_KEY",
    base_url="https://api.parasail.io/v1"
)

response = client.chat.completions.create(
    model="parasail-gpt-oss-120b",
    messages=[\
        {"role": "user", "content": "Hello, what can you do?"}\
    ],
    stream=True,
    stream_options={"include_usage": True},
    top_p=1,
    max_tokens=1000,
    temperature=1
)

for chunk in response:
    if chunk.choices and chunk.choices[0].delta.content is not None:
        print(chunk.choices[0].delta.content, end="", flush=True)
```

### bash
```bash
curl https://api.parasail.io/v1/chat/completions \
  -H "Authorization: Bearer $PARASAIL_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{\
    "model": "parasail-gpt-oss-120b",\
    "messages": [{"role": "user", "content": "Hello, what can you do?"}],\
    "stream": true,\
    "max_tokens": 1000\
  }'
```

## More models

## Explore the library

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- Model **Qwen3.6 35B-A3B**  
  Efficient MoE model with 3B active parameters — great price-to-performance.  
  **$0.15/M in**  
- Model **Qwen3.5 35B-A3B**  
  Compact MoE model with strong reasoning at minimal cost per token.  
  **$0.15/M in**

## Run gpt-oss-120b in the platform

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