Qwen3.5 0.8B

by Alibaba

All Alibaba releases

Qwen3.5-0.8B is Alibaba's ultra-compact 800 million parameter multimodal model released in March 2026, built for prototyping, research, and on-device deployment where memory and latency are tight constraints. Its hybrid architecture combines Gated DeltaNet linear attention with mixture-of-experts sparse activation for efficient processing alongside multimodal understanding. The model handles vision and language together, processing images, video, and text in one architecture with native early-fusion multimodal training. It supports a 262K token context window and both thinking and non-thinking modes, letting users balance reasoning quality against speed. At just 0.8 billion parameters, it can run on small devices such as smartphones and embedded systems. The model supports 201 languages and dialects, with multilingual instruction following and reasoning. Open-weight under Apache 2.0, it is tuned for prototyping, fine-tuning, and research where model size and latency are the primary constraints.

Call Qwen3.5 0.8B 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
$0.01 /1M
Output price
$0.05 /1M
Released
  • US residency available
  • Zero data retention on pay-as-you-go
  • No training by default
  • GDPR DPA available

Available routes

Qwen3.5 0.8B runs on 1 route 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$0.01$0.05Input price

Uptime and availability

Qwen3.5 0.8B runs on a single route through the Opper gateway today, so its availability is that provider's availability.

100%route uptime, last 30 days
Single route, no failover target within this model.

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. See uptime for every provider Opper monitors.

Data handling per route

Each route hosting Qwen3.5 0.8B 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

Benchmarks

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

Intelligence Index6.1
Coding Index0.0
Reasoning & knowledge
GPQA Diamond
11%
Humanity's Last Exam
1%
Long-context reasoning
9%
Agentic & tool use
Terminal-Bench Hard
0%
τ²-Bench Telecom
48%
Math & instruction following
IFBench
21%

Get started

Call Qwen3.5 0.8B through the Opper gateway with one API key. Opper is drop-in compatible with the OpenAI, Anthropic and Google AI SDKs.

Qwen3.5 0.8B 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: "deepinfra/Qwen/Qwen3.5-0.8B",
messages: [{ role: "user", content: "Hello" }],
});
console.log(completion.choices[0].message.content);

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