Qwen3.5-27B — Alibaba | Modeldex

Qwen3.5-27B

Active53.6Basic

The Qwen3.5 27B native vision-language Dense model incorporates a linear attention mechanism, delivering fast response times while balancing inference speed and performance. Its overall capabilities are comparable to those of...

Updated 4 days agoStructured data from Modeldex catalog

VisionLong context

API release

Feb 25, 2026(last month)

Intelligence Index

53.6/ 100

Basicweighted across 4 benchmarks

Reasoning: 61.1
Instruction following: 58.6
Long context: 40.9

Computed as the mean of per-category averages across MMLU, GPQA, SWE-bench, HumanEval, MATH, GSM8K, AIME, Aider Polyglot and more. See each benchmark for methodology.

Overview

History

Qwen3.5-27B became available via the Alibaba API on 2026-02-25.

Training & availability

Alibaba has not released the underlying model weights — access is via their hosted API only.

Capabilities

Context window: 262K tokens.
Input modalities: text, image, video.

Recommended for: vision, long-context.

Pricing

Input: $0.1950 per 1M tokens
Output: $1.5600 per 1M tokens

Use the cost calculator above to estimate monthly spend for your workload.

Quick start

Minimal example using the OpenRouter API. Copy, paste, replace the key.

from openai import OpenAI

client = OpenAI(
    base_url="https://openrouter.ai/api/v1",
    api_key="sk-or-...",
)
resp = client.chat.completions.create(
    model="alibaba/qwen3-5-27b",
    messages=[{"role": "user", "content": "Explain quantum computing in one sentence."}],
)
print(resp.choices[0].message.content)

Cost calculator

Estimate your monthly bill. Presets are typical workload sizes.

Input tokens / month5.0M

@ $0.195/1M

Output tokens / month2.0M

@ $1.56/1M

Input cost

$0.975

5.0M × $0.195/1M

Output cost

$3.12

2.0M × $1.56/1M

Total / month

$4.1

$49.14 / year

Popularity

Signals from open-source communities — not a quality measure, but useful for gauging adoption among developers.

🤗

HuggingFace downloads

3.3M/ month

HuggingFace likes

945

Benchmarks

Benchmark	Score	Source
GPQA DiamondReasoning	61.11% accuracy	Third-party llm-stats.com
LongBench v2Long context	61.11%	Third-party llm-stats.com
MRCR v2Long context	20.72%	Third-party llm-stats.com

Integrations & tooling support

Tool calling: Not supported
Structured outputs: Not supported

Price vs quality

Fair value

Mid-tier performance and pricing — standard choice.

Quality percentile: 64.4%
Effective price: $1.22/1M
Pricing breakdown: $0.195/1M in
$1.56/1M out

Community ratings

No ratings yet. Be the first to rate Qwen3.5-27B.