Qwen: Qwen3.5 397B A17B

Public pricingIntelligence 82/100Large memory视觉深度思考工具调用

Qwen: Qwen3.5 397B A17B 是一款多模态模型，适合视觉语言理解。它结合了多模态输入处理、图像理解、262K tokens上下文和均衡成本定位，可在image and video understanding中提供可靠表现。它适合重视延迟、成本与吞吐的团队，能带来稳定输出、灵活部署与扩展空间。 它适合需要稳定回答、较长上下文、清晰结构和可扩展部署的团队。 它适合需要稳定回答、较长上下文、清晰结构和可扩展部署的团队。 它适合需要稳定回答、较长上下文、清晰结构和可扩展部署的团队。 它适合需要稳定回答、较长上下文、清晰结构和可扩展部署的团队。 它适合需要稳定回答、较长上下文、清晰结构和可扩展部署的团队。 它适合需要稳定回答、较长上下文、清晰结构和可扩展部署的团队。 它适合需要稳定回答、较长上下文、清晰结构和可扩展部署的团队。

Input

$0.39/1M

Output

$2.34/1M

Cached

$0.20/1M

Batch

$0.30/1M

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What would Qwen3.5 397B A17B cost you?

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Technical specifications

Qwen3.5 397B A17B at a glance.

Memory

262,144

tokens

Max reply

65,536

tokens

Memory tier

Large

an entire book or large codebase

Tokenizer

qwen3

Released

Feb 2026

Training cutoff

Oct 2025

Availability

Public pricing

Status

active

Benchmarks

Quality benchmarks

Independent evaluations from public leaderboards. Higher is better.

  • aime_2025

    91.3

  • mmlu

    88.6

  • mmlu_pro

    87.8

What it can do

Capabilities & limits.

  • Understands images
  • Deep step-by-step thinking
  • Uses tools / calls functions
  • Strict JSON output
  • Streams replies
  • Fine-tunable on your data

When to pick Qwen3.5 397B A17B

  • Multi-step reasoning, research agents, or hard math.
  • Screenshot analysis, image understanding, or document OCR.
  • Agentic workflows that call tools or APIs.
  • Long documents, full codebases, or extensive chat histories.

When to look elsewhere

  • Very latency-sensitive, real-time apps where every millisecond counts.

Alternatives

Similar models to compare.

FAQ

Qwen3.5 397B A17B — the questions we see most.

Pricing, capabilities, alternatives — generated from the same data that powers the calculator above.

Get instant answers from our AI agent

At a typical workload of 50,000 conversations a month with 1,500-token prompts and 800-token replies, Qwen3.5 397B A17B costs roughly $123 per month. Input is $0.39 /1M tokens and output is $2.34 /1M tokens.
Qwen3.5 397B A17B has a 262,144-token context window (large memory — an entire book or large codebase). That means you can fit about 49,152 words of input and history in a single call.
Beyond text generation, Qwen3.5 397B A17B supports understanding images, deep step-by-step reasoning, calling functions / tools, strict JSON output, fine-tuning on your own data. It streams replies by default.
Qwen3.5 397B A17B was released in February 2026, with training data cut off around October 2025.
Models in a similar class include Qwen3.6 Plus, Qwen Plus 0728 (thinking), Qwen-Plus. The "Similar models" section below this FAQ links into each.

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