Qwen3.8 Flash is a multimodal reasoning model from Alibaba. It is suited for coding assistance, agentic workflows, visual understanding, document and codebase analysis, desktop interaction, chart analysis, and long-video analysis.
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="qwen/qwen3.8-flash",
messages=[{"role": "user", "content": "Hello"}],
)
print(response.choices[0].message.content)enable_thinkingfrequency_penaltyinclude_reasoninglogprobsmax_tokenspresence_penaltyreasoningresponse_formatseedstopstructured_outputstemperaturetool_choicetoolstop_logprobstop_p| Input / 1M tokens | $0.150 |
| Output / 1M tokens | $0.470 |
| Cache read / 1M | $0.018 |
| Cache write / 1M | $0.230 |
| 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/qwen/qwen3.8-flashOpen @misc{orcarouter_qwen3_8_flash,
title = {Qwen3.8 Flash API},
author = {Qwen},
year = {2026},
howpublished = {OrcaRouter},
url = {https://www.orcarouter.ai/models/qwen/qwen3.8-flash}
}Qwen. (2026). Qwen3.8 Flash API. OrcaRouter. https://www.orcarouter.ai/models/qwen/qwen3.8-flash