Qwen: Qwen3.5-Flash

Public pricingIntelligence 79/100Huge memoryVisãoRaciocínio profundoUso de ferramentas

Qwen: Qwen3.5-Flash é um modelo multimodal criado para compreensão visão-linguagem. Ele combina o tratamento multimodal de entradas e a compreensão de imagens, um contexto de 1M+ tokens e um perfil baixo custo para entregar trabalho confiável em image and video understanding.

Input

$0.07/1M

Output

$0.26/1M

Cached

$0.03/1M

Batch

$0.05/1M

Calculate your Qwen3.5-Flash bill.

Set your workload — see cost at your exact volume.

What would Qwen3.5-Flash cost you?

Adjust the workload to see your monthly bill.

1,00010,00050,000250,0001M10M

Technical specifications

Qwen3.5-Flash at a glance.

Memory

1,000,000

tokens

Max reply

65,536

tokens

Memory tier

Huge

multiple books or whole repositories

Tokenizer

qwen3

Released

Feb 2026

Training cutoff

Oct 2025

Availability

Public pricing

Status

active

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-Flash

  • 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-Flash — 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-Flash costs roughly $15 per month. Input is $0.07 /1M tokens and output is $0.26 /1M tokens.
Qwen3.5-Flash has a 1,000,000-token context window (huge memory — multiple books or whole repositories). That means you can fit about 187,500 words of input and history in a single call.
Beyond text generation, Qwen3.5-Flash 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-Flash was released in February 2026, with training data cut off around October 2025.
Models in a similar class include Qwen3.5-9B, Qwen3.5-35B-A3B, Qwen3.5-27B. The "Similar models" section below this FAQ links into each.

Still unsure?

Compare Qwen3.5-Flash against 100+ other models.

Open the full wizard — pick a use case, set your usage, and see side-by-side monthly costs in under a minute.

Open the comparison wizard