identity

open weights
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qwen/qwen3.5-397b-a17bNovita AI

in /1M$0.60input tokens
out /1M$3.60output tokens
context262K66K out
trainingnoon your prompts
api
chat
hosting
US
model lab
Alibaba (Qwen)
weights
open
added
February 2026
model id
novita/qwen/qwen3.5-397b-a17b

capabilities 3/8

visionreasoningtoolscachingweb searchjson schemacomputer useimage gen

3 providers serve qwen3.5-397b-a17b. This page is one of them. Compare all endpoints

pricing

no markup
input
$0.60
output
$3.60
cache write
-
cache read
-

worked cost

Estimated cost for three request volumes
volumecost
100K in + 10K out$0.0960
1M in + 100K out$0.96
10M in + 1M out$9.60

Requesty charges what the upstream provider charges, with no markup and no per-request fee. Prompt caching and smart routing cut the effective cost further on repeated context. Gateway pricing

provider price, passed throughper 1M tokens

measured

through Sep 12

no measured traffic for this endpoint yet. pricing above is the provider's own

benchmarks

artificial analysis
Benchmark scores, each normalised to 100
evalScore as a share of 100/100
GPQA Diamond86.1
τ²-Bench83.9
Terminal-Bench Hard35.6
Intelligence Index21.4
Humanity's Last Exam19.8
5 evalsmean49.4

Scores from Artificial Analysis and public leaderboards, normalised to 100. Bar colour is the band, not the rank: green 80 and up, blue 55 and up, amber 30 and up. Benchmarks measure narrow skills, so test on your own workload before committing. Released 2026-02-16.

policy

data terms
retention
none
trains on prompts
no
hosted in
US

Terms are the provider's, not Requesty's: routing a request here puts it under them. Novita AI Privacy Policy

Need every request to stay in one jurisdiction? EU hosting routes only through EU-hosted providers.

quickstart

openai compatible
novita/qwen/qwen3.5-397b-a17b

this id pins the novita ai deployment, with no routing and no failover. the managed id on the canonical page routes across all 3 providers instead

main.py
from openai import OpenAI client = OpenAI(    api_key="YOUR_REQUESTY_API_KEY",    base_url="https://router.requesty.ai/v1",) response = client.chat.completions.create(    model="novita/qwen/qwen3.5-397b-a17b",    messages=[        {"role": "user", "content": "Explain quantum computing in one paragraph."},    ],) print(response.choices[0].message.content)

Change the base url to https://router.requesty.ai/v1, use your Requesty key, set the model to the id above. Existing OpenAI SDK code needs no other edit, and the same key reaches every other model in the catalog. Browse all models

notes

reference

The Qwen3.5 series 397B-A17B native vision-language model is based on a hybrid architecture design that integrates linear attention mechanisms with sparse Mixture-of-Experts (MoE), achieving higher inference efficiency. Across a variety of tasks—including language understanding, logical reasoning, code generation, agentic tasks, image understanding, video understanding, and graphical user interface (GUI) interaction—it demonstrates exceptional performance comparable to current top-tier frontier models. Possessing robust code generation and agentic capabilities, it exhibits strong generalization across various agent scenarios.

questions 6

How much does qwen/qwen3.5-397b-a17b cost?
qwen/qwen3.5-397b-a17b is priced at $0.60 per million input tokens and $3.60 per million output tokens when accessed via Requesty. Requesty charges exactly what the upstream provider charges, we don't add markup.
What is the context window of qwen/qwen3.5-397b-a17b?
qwen/qwen3.5-397b-a17b has a context window of 262K tokens, with a maximum output of 66K tokens per response. That is roughly 350 words of input you can fit in a single prompt.
How does qwen/qwen3.5-397b-a17b perform on benchmarks?
qwen/qwen3.5-397b-a17b scores 86.1% on GPQA Diamond, 83.9% on τ²-Bench, 35.6% on Terminal-Bench Hard. The benchmarks pane shows every published result, each normalised to 100.
What can qwen/qwen3.5-397b-a17b do?
qwen/qwen3.5-397b-a17b supports vision input, tool calling, extended reasoning. You can call it through any OpenAI-compatible client by pointing base_url to Requesty.
How do I use qwen/qwen3.5-397b-a17b with the OpenAI SDK?
Install the OpenAI SDK, set base_url to "https://router.requesty.ai/v1", set your API key to your Requesty key, and set the model to "novita/qwen/qwen3.5-397b-a17b". The quickstart pane shows Python, JavaScript and cURL snippets.
Can I run qwen/qwen3.5-397b-a17b through Requesty?
Yes. qwen/qwen3.5-397b-a17b runs through Requesty's OpenAI-compatible API, served from Novita AI. You do not host the model yourself: point base_url at Requesty, set the model to "novita/qwen/qwen3.5-397b-a17b", and requests are routed to the upstream provider with automatic failover. The same key gives you 600+ other models too.

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call qwen/qwen3.5-397b-a17b through one endpoint

One key for this endpoint and 600+ other models. No markup on provider prices, automatic failover when a provider degrades, and prompt caching built in. Methodology

qwen/qwen3.5-397b-a17bnovita aiin $0.60 /1Mout $3.60 /1Mctx 262Khosted US3 providers serve this model