Qwen3.5 9B

by Alibaba

Released 6 days after Qwen3.5 122B A10B · All Alibaba releases

Qwen3.5 9B is a 9 billion parameter multimodal model with a unified vision-language foundation trained with early fusion on multimodal tokens, combining Gated DeltaNet and Mixture-of-Experts layers for efficient inference. It supports a 262,144 token native context window, extensible toward roughly one million tokens with YaRN scaling. Reported scores include MMLU-Pro 82.5, GPQA Diamond 81.7, and MMBench 90.1, covering reasoning and vision understanding. It runs in thinking mode by default for internal reasoning. With robust tool calling and a balanced performance-to-efficiency profile, it handles text, image, and video understanding across more than 200 languages and works well for agentic production deployments.

Call Qwen3.5 9B on Opper with the OpenAI SDK. Sign up without a credit card. Get started

Key info

Input
Output
Features
Context window
262K
Max output
262K
Input price
$0.10 /1M
Output price
$0.15 /1M
Released
  • EU residency available
  • US residency available
  • Zero data retention on pay-as-you-go
  • No training by default
  • GDPR DPA available

Available routes

Qwen3.5 9B runs on 4 different routes through the Opper gateway. Compare residency, zero data retention and training posture at a glance, with full data-handling detail per route below.

ProviderRegionZero data retentionTrainingInputOutputCache read
USNo$0.10$0.15Input price
MultiNo$0.09$0.13$0.04
EUNo$0.08$0.40Input price
EUNo$0.15$0.20$0.04

Uptime and availability

One of Qwen3.5 9B's 4 routes is on the monitoring board, so the figure below is that provider's availability rather than the model's.

100%route uptime, last 30 days
Its other routes aren't measured here yet.

Name a second model in the same request and the gateway tries it on retriable errors, so a busy hour never has to reach your users. Set up a fallback chain.

Measured over the last 30 days from each provider's official status feed via StatusGator. Refreshed hourly. 3 further routes are not on the board yet. See uptime for every provider Opper monitors.

Data handling per route

Each route hosting Qwen3.5 9B has its own privacy posture, residency, and GDPR terms. Postures are maintained by Opper with a last-verification timestamp.

DeepInfra United States🇺🇸

Zero data retention: nothing is logged, held for abuse monitoring or used for training. No training on customer data. US; unknown; DPA available.

Zero data retention
Yes. Nothing is logged, held for abuse monitoring or used for training.
Training
No training on customer data.
Logging
None
Abuse monitoring
No classifier
GDPR DPA
DPA available
Transfer mechanism
unknown

EmpirioLabs Multi-region

Zero data retention: nothing is logged, held for abuse monitoring or used for training. No training on customer data. GLOBAL; SCCs; DPA available.

Zero data retention
Yes. Nothing is logged, held for abuse monitoring or used for training.
Training
No training on customer data.
Logging
None
Abuse monitoring
On by default, keeps nothing
Subprocessor access
No subprocessor reads content
GDPR DPA
DPA available
Transfer mechanism
SCCs

Regolo Italy🇮🇹

Zero data retention: nothing is logged, held for abuse monitoring or used for training. No training on customer data. EU; DPA available.

Zero data retention
Yes. Nothing is logged, held for abuse monitoring or used for training.
Training
No training on customer data.
Logging
None
Abuse monitoring
No classifier
Subprocessor access
No subprocessor reads content
GDPR DPA
DPA available
Transfer mechanism
Not applicable — data stays in EU

TensorX European Union🇪🇺

Zero data retention: nothing is logged, held for abuse monitoring or used for training. No training on customer data. EU; DPA available.

Zero data retention
Yes. Nothing is logged, held for abuse monitoring or used for training.
Training
No training on customer data.
Logging
None
Abuse monitoring
No classifier
Caching
Content cached for replay
GDPR DPA
DPA available
Transfer mechanism
Not applicable — data stays in EU

Benchmarks

Independent benchmark scores — composite indices for reasoning, coding, and math, plus individual eval scores where available.

Global rank#274 of 644 LLMs
TierEfficient
Output speed68 tok/s
First token0.77s
Intelligence Index13.7
Coding Index28.7
Reasoning & knowledge
GPQA Diamond
81%
Humanity's Last Exam
15%
Long-context reasoning
70%
Agentic & tool use
Terminal-Bench Hard
24%
τ²-Bench Telecom
87%
Math & instruction following
IFBench
67%

Get started

Call Qwen3.5 9B through the Opper gateway with one API key. Opper is drop-in compatible with the OpenAI, Anthropic and Google AI SDKs.

Qwen3.5 9B is a premium model on Opper. Sign up needs no credit card: you get an API key straight away and the free models work in the playground and the API. Add a card to use premium models, pay-as-you-go with no minimum.

Set it up with your agent

Copy this and paste it into a coding agent like Claude Code, Cursor or Codex and it'll wire up Opper for you.

Or call it directly

import OpenAI from "openai";
const client = new OpenAI({
apiKey: process.env.OPPER_API_KEY,
baseURL: "https://api.opper.ai/v3/compat",
});
const completion = await client.chat.completions.create({
model: "qwen3.5-9b",
messages: [{ role: "user", content: "Hello" }],
});
console.log(completion.choices[0].message.content);

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Side-by-side on privacy, EU hosting, pricing, and benchmarks.

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