Qwen3.8 27B served in block-FP8 for higher throughput and lower memory footprint, with the vision tower kept at full precision. Preserves the original model's reasoning, coding, multilingual performance, and tool use. Designed to provide direct, complete responses across a wide range of prompts. The model may occasionally append brief informational disclaimers inherited from the base model's training. Ideal for AI research, security testing, red teaming, agent development, coding assistants, and other advanced AI applications that benefit from maximum output flexibility.
OpenAI-compatible — keep the SDK you already use
https://api.orcarouter.ai/v1import os
from openai import OpenAI
client = OpenAI(
base_url="https://api.orcarouter.ai/v1",
api_key=os.environ["ORCAROUTER_API_KEY"],
)
response = client.chat.completions.create(
model="obsidian/Qwen3.8-27B",
messages=[{"role": "user", "content": "Hello"}],
)
print(response.choices[0].message.content)frequency_penaltyinclude_reasoninglogprobsmax_tokensmin_ppresence_penaltyreasoningrepetition_penaltyresponse_formatseedstopstructured_outputstemperaturetool_choicetoolstop_ktop_p| Input / 1M tokens | $0.400 |
| Output / 1M tokens | $4.21 |
| Currency | USD |
Estimate based on list price
Estimate only — actual token counts depend on the provider's tokenizer.
What developers are saying this week
GET /api/public/models/obsidian/Qwen3.8-27BOpen @misc{orcarouter_qwen3_8_27b,
title = {Qwen3.8 27B API},
author = {obsidian},
year = {2026},
howpublished = {OrcaRouter},
url = {https://www.orcarouter.ai/models/obsidian/Qwen3.8-27B}
}obsidian. (2026). Qwen3.8 27B API. OrcaRouter. https://www.orcarouter.ai/models/obsidian/Qwen3.8-27B