Alibabaactive

Qwen3.5 397B A17B

Released at: February 16, 2026

API StatusAvailable for integration
Context Window262,144 tokens✓ verified 1d ago
Input Price / MTok$0.55✓ verified 8d ago
Output Price / MTok$3.50✓ verified 8d ago

Model Overview

Alibaba · Active Model

  • Long-Context
  • API Available
  • Vetted Benchmarks
  • Production Ready

Qwen3.5 397B A17B by Alibaba — Technical Architecture, Empirical Benchmarks & API Specs§

1. Executive Summary & Core Positioning§

Qwen3.5 397B A17B is an advanced artificial intelligence model engineered by Alibaba. Tailored for complex multi-step reasoning, programming synthesis, and extended document comprehension, Qwen3.5 397B A17B represents a key architectural iteration in the Alibaba model family. First released in 2026-02-16, it serves enterprise developers, research teams, and autonomous system architects requiring strict instruction compliance.

Featuring an input capacity of 262,144 tokens (approximately 350 words), Qwen3.5 397B A17B processes multi-file code repositories, lengthy technical reports, and complex prompts in a single inference call.


2. Technical Architecture & Verified Specifications§

Official specification breakdown for Qwen3.5 397B A17B based on verified provider metadata:

  • Model Name: Qwen3.5 397B A17B
  • Developer / Provider: Alibaba
  • Context Window Capacity: 262,144 tokens (~350 words)
  • Modality Support: Text, Code
  • API Availability: Available via API Gateway
  • Tool-Calling Accuracy Score: Pending Empirical Benchmark
  • Time to First Token (TTFT): Varies by Host Provider

3. Benchmark Evaluations & Performance Metrics§

Qwen3.5 397B A17B undergoes standardized evaluation across key industry benchmark suites:

  • MMLU (Massive Multitask Language Understanding): Evaluates multi-subject knowledge across STEM, humanities, and social sciences.
  • HumanEval & SWE-bench: Assesses functional Python code synthesis and real-world software engineering bug resolution.
  • GSM8K & MATH: Tests multi-step arithmetic reasoning and formal mathematical proof construction.
  • Chatbot Arena ELO: Evaluates human preference, instruction following, and conversational quality against rival models.

4. Developer API & Integration Specs§

Programmatic integration for Qwen3.5 397B A17B follows standard OpenAI-compatible REST endpoints.

import os
import requests

api_key = os.getenv("MODEL_API_KEY")
url = "https://openrouter.ai/api/v1/chat/completions"

headers = {
    "Authorization": f"Bearer {api_key}",
    "Content-Type": "application/json"
}

payload = {
    "model": "qwen3-5-397b-a17b",
    "messages": [
        {"role": "system", "content": "You are a senior software architect and AI system evaluator."},
        {"role": "user", "content": "Analyze system architecture bottlenecks and suggest refactoring strategies."}
    ],
    "temperature": 0.1,
    "max_tokens": 2048
}

response = requests.post(url, headers=headers, json=payload)
print(response.json())

5. Production Use Cases & Deployment Scenarios§

5.1 Autonomous Agents & Tool Execution§

Given its instruction compliance and tool-calling capabilities (Pending Empirical Benchmark), Qwen3.5 397B A17B is frequently integrated as the reasoning engine for autonomous software agents, browser automation pipelines, and API orchestrators.

5.2 Enterprise Document Synthesis§

With its 262,144 tokens input capacity, engineering and legal teams process full regulatory filings, annual corporate disclosures, and technical documentation directly without context loss.

5.3 Programmatic Code Generation§

Development teams utilize Qwen3.5 397B A17B for automated code generation, pull request audits, unit test suite creation, and language migration (e.g. Python to Rust).


6. Token Economics & Pricing Breakdown§

Inference pricing per million tokens for Qwen3.5 397B A17B:

  • Input Token Cost: $0.55 per MTok
  • Output Token Cost: $3.50 per MTok
  • Prompt Caching Discounts: Supported on selected API providers (up to 50% savings on repeated prompt prefixes)
  • Batch Processing: Available for non-latency-sensitive bulk inference workloads

7. Comparative Specification Matrix§

Metric / Parameter**Qwen3.5 397B A17B**Provider Ecosystem Baseline
DeveloperAlibabaIndustry Average
Context Window262,144 tokens128,000 tokens
Input Price / MTok$0.55Variable
Output Price / MTok$3.50Variable
API AccessSupportedStandard

8. Frequently Asked Questions (FAQ)§

Q: What is Qwen3.5 397B A17B's context window limit?§

A: Qwen3.5 397B A17B supports an input context window of 262,144 tokens.

Q: What is the API pricing for Qwen3.5 397B A17B?§

A: Qwen3.5 397B A17B is priced at $0.55 per million input tokens and $3.50 per million output tokens.

Q: Is Qwen3.5 397B A17B accessible via API?§

A: Yes, Qwen3.5 397B A17B is available for programmatic integration.

Developer
Alibaba✓ verified 1d ago
Release Date
February 16, 2026✓ verified 1d ago
Context Window
262,144 tokens350 words✓ verified 1d ago
API Access
Publicly AvailableIntegrate via official API✓ verified 1d ago
Input Cost
$0.55per million tokens✓ verified 8d ago
Output Cost
$3.50per million tokens✓ verified 8d ago
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Vetted Benchmarks

HellaSwag(estimated)Score: 76.8% (Top 92%)
MMLU(estimated)Score: 72.8% (Top 98%)
HumanEval(estimated)Score: 69.0% (Top 96%)
MATH(estimated)Score: 42.2% (Top 92%)
MT-Bench(estimated)Score: 7.9 (Top 93%)
GPQA(estimated)Score: 29.6% (Top 94%)

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Originally published on llmdb.app

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