Inteligencia de modelos de IA

Qwen25 VL 72b

nano-gpt/qwen25-vl-72b-instruct

Por nano-gpt · lanzado 2025-05-10

⚠ Este es un ajuste fino de la comunidad o un derivado — no un lanzamiento oficial del editor.

$0.700
Entrada / 1M tokens
$0.700
Salida / 1M tokens
32K
Ventana de contexto
33K
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.

Coding1
  • Tool calling0/40
  • Structured output0/20
  • Reasoning0/10
  • Context window (100K → 1M)0/20
  • Provider availability1/10
Agents16
  • Tool calling0/35
  • Structured output0/25
  • Reasoning0/15
  • Output token limit15/15
  • Provider availability1/10
JSON / structured output17
  • Structured output / JSON mode0/50
  • Tool calling0/20
  • Temperature control0/10
  • Price-friendly for high-volume17/20
Cost efficiency59
  • Headline price (log-scaled)59/95
  • Has prompt-cache pricing0/5
Long context0
  • Context ≥ 100K0/100
Vision69
  • Accepts image input50/50
  • Context window (10K → 1M)8/30
  • Has published price10/10
  • Provider availability1/10
Production-readiness50
  • Number of independent providers5/40
  • Has published per-token price20/20
  • Context window ≥ 8K15/15
  • No data inconsistencies across providers10/10
  • Official model (not derivative)0/15

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
$3.85
< $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
$7.70
< $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
$1.75
< $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
$6.30
< $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
$8.82
< $0.01 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 nano-gpt · qwen25-vl-72b-instruct

$0.700
Entrada
$0.700
Salida

Disponible en 1 proveedores

ProveedorID de modelo del proveedorEntrada / 1MSalida / 1MContextoLanzado
NanoGPT
nano-gpt
qwen25-vl-72b-instruct$0.700$0.70032K2025-05-10

Frequently asked questions

How much does Qwen25 VL 72b cost?

Qwen25 VL 72b costs $0.700 per 1M input tokens and $0.700 per 1M output tokens, sourced from nano-gpt. Cache reads, audio tokens and >200K-context tiers (where applicable) are listed in the Pricing detail block above.

What is the context window of Qwen25 VL 72b?

Qwen25 VL 72b has a context window of 32K tokens, with a max output of 33K tokens per reply. This is the total combined size of prompt + completion.

Does Qwen25 VL 72b support tool calling?

No. Qwen25 VL 72b does not support tool calling (function calling). If your workflow requires it, look at the /capabilities/tool-calling list for alternatives.

Does Qwen25 VL 72b support structured output / JSON mode?

No. Qwen25 VL 72b does not support structured output / JSON-schema-constrained decoding. If your workflow requires it, look at the /capabilities/structured-output list for alternatives.

Can Qwen25 VL 72b accept image input?

Yes. Qwen25 VL 72b accepts both text and image input. Vision pricing per image is usually billed on top of the regular token rate — check nano-gpt's docs for the exact rule.

Is Qwen25 VL 72b open-weight?

No. Qwen25 VL 72b is a proprietary model — only nano-gpt (and any approved hosting partners) can serve it. The pricing above reflects the cheapest API access.

What are the best alternatives to Qwen25 VL 72b?

If Qwen25 VL 72b doesn't fit, consider Brave (Answers), Exa (Research), Auto model (Basic). 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 nano-gpt 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.