Inteligencia de modelos de IA

QVQ Max

alibaba/qvq-max

Por Alibaba (Qwen) · familia: qvq · lanzado 2025-03-25 · fecha de conocimiento: 2024-04

$1.20
Entrada / 1M tokens
$4.80
Salida / 1M tokens
131K
Ventana de contexto
8K
Salida máxima

Prices in USD per 1M tokens. Unknown means the provider does not publish per-token pricing.

Capacidades

✓ Llamada a herramientas✓ Razonamiento? Salida estructurada✗ Adjuntos✗ Pesos abiertos✓ Control de temperatura
Modalidades: entrada text, image · salida text

Model fit scores

0–100 · higher is better

These scores reward declared capabilities, context size, price and provider availability — they are not benchmark results. Use them as a directional signal alongside your own evaluation.

Coding54
  • Tool calling40/40
  • Structured output0/20
  • Reasoning10/10
  • Context window (100K → 1M)2/20
  • Provider availability2/10
Agents57
  • Tool calling35/35
  • Structured output0/25
  • Reasoning15/15
  • Output token limit5/15
  • Provider availability2/10
JSON / structured output38
  • Structured output / JSON mode0/50
  • Tool calling20/20
  • Temperature control10/10
  • Price-friendly for high-volume8/20
Cost efficiency43
  • Headline price (log-scaled)43/95
  • Has prompt-cache pricing0/5
Long context46
  • Context window (100K → 2M)36/90
  • Has published price for full window10/10
Vision79
  • Accepts image input50/50
  • Context window (10K → 1M)17/30
  • Has published price10/10
  • Provider availability2/10
Production-readiness68
  • Number of independent providers10/40
  • Has published per-token price20/20
  • Context window ≥ 8K15/15
  • No data inconsistencies across providers8/10
  • Official model (not derivative)15/15

Cost Efficiency Index

Open full calculator →

Estimated cost using the recommended provider's headline rate. Each scenario fixes average input/output tokens — the assumptions are shown in the third column.

ScenarioCostAssumption
RAG answer
per 1,000 RAG answers
$8.40
< $0.01 per request
5K input tokens (query + 4 retrieved chunks of ~1K each) and a 500-token answer. Typical SaaS knowledge-base bot.
Support ticket triage
per 10,000 tickets
$16.80
< $0.01 per request
1K input tokens (ticket body + system prompt) and a 100-token JSON classification reply. High-volume customer support.
Data extraction
per 1,000 documents
$4.80
< $0.01 per request
2K input tokens (a single document page) and a 500-token JSON extraction. ETL / invoice / form pipelines.
Code review
per 1,000 PRs
$14.40
$0.01 per request
8K input tokens (diff + surrounding files) and a 1K-token review comment. PR-bot workloads.
Agent step
per 1,000 steps
$17.28
$0.02 per request
12K input tokens (long-running tool history) and a 600-token tool-call decision. Cost per agent step.

Detalle de precios

Precio recomendado de alibaba · qvq-max

$1.20
Entrada
$4.80
Salida

Disponible en 2 proveedores

ProveedorID de modelo del proveedorEntrada / 1MSalida / 1MContextoLanzado
Alibaba
alibaba
qvq-max$1.20$4.80131K2025-03-25
NanoGPT
nano-gpt
qvq-max$1.40$5.30128K2025-03-28

Inconsistencias de datos entre proveedores

  • context_window varies: 128000, 131072

Los proveedores reportan valores distintos para este modelo. Los datos clave de arriba usan un proveedor representativo; consulta la tabla para detalles por proveedor.

Frequently asked questions

How much does QVQ Max cost?

QVQ Max costs $1.20 per 1M input tokens and $4.80 per 1M output tokens, sourced from alibaba. Cache reads, audio tokens and >200K-context tiers (where applicable) are listed in the Pricing detail block above.

What is the context window of QVQ Max?

QVQ Max has a context window of 131K tokens, with a max output of 8K tokens per reply. This is the total combined size of prompt + completion.

Does QVQ Max support tool calling?

Yes. QVQ Max supports tool calling (function calling). This makes it suitable for production agent and automation workloads where the model has to invoke external functions reliably.

Does QVQ Max support structured output / JSON mode?

Support for structured output / JSON-schema-constrained decoding is not reported for QVQ Max in our data source. Verify with Alibaba (Qwen)'s official documentation before relying on it in production.

Can QVQ Max accept image input?

Yes. QVQ Max accepts both text and image input. Vision pricing per image is usually billed on top of the regular token rate — check Alibaba (Qwen)'s docs for the exact rule.

Is QVQ Max open-weight?

No. QVQ Max is a proprietary model — only Alibaba (Qwen) (and any approved hosting partners) can serve it. The pricing above reflects the cheapest API access.

What are the best alternatives to QVQ Max?

If QVQ Max doesn't fit, consider Qwen3.5 397B-A17B, Qwen3 32B, Qwen3 235B A22B Instruct 2507. Each one targets the same use case — see the Related links below for direct head-to-head pages.

Where does this data come from?

All numbers come from the public models.dev API and are normalised into a single canonical model record. We re-pull daily and write any changes (price, context, capability) to the /changelog page.

Explore more

More Alibaba (Qwen) models

Capability lists this model is in

See also

Última actualización:

Data is sourced from models.dev and normalized for comparison. Prices and capabilities may change. Always verify critical production decisions with the provider's official documentation.