Inteligência em modelos de IA

GPT-4 Turbo

openai/gpt-4-turbo

Por OpenAI · família: gpt · lançado 2023-11-06 · data de conhecimento: 2023-12

$10.00
Entrada / 1M tokens
$30.00
Saída / 1M tokens
128K
Janela de contexto
4K
Saída máxima

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

Capacidades

Tool callingRaciocínioSaída estruturadaAnexosPesos abertosControle de temperatura
Modalidades: entrada text, image · saída 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.

Coding51
  • Tool calling40/40
  • Structured output0/20
  • Reasoning0/10
  • Context window (100K → 1M)2/20
  • Provider availability9/10
Agents44
  • Tool calling35/35
  • Structured output0/25
  • Reasoning0/15
  • Output token limit0/15
  • Provider availability9/10
JSON / structured output30
  • Structured output / JSON mode0/50
  • Tool calling20/20
  • Temperature control10/10
  • Price-friendly for high-volume0/20
Cost efficiency22
  • Headline price (log-scaled)22/95
  • Has prompt-cache pricing0/5
Long context45
  • Context window (100K → 2M)35/90
  • Has published price for full window10/10
Vision86
  • Accepts image input50/50
  • Context window (10K → 1M)17/30
  • Has published price10/10
  • Provider availability9/10
Production-readiness98
  • Number of independent providers40/40
  • 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
$65.00
$0.07 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
$130
$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
$35.00
$0.04 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
$110
$0.11 per request
8K input tokens (diff + surrounding files) and a 1K-token review comment. PR-bot workloads.
Agent step
per 1,000 steps
$138
$0.14 per request
12K input tokens (long-running tool history) and a 600-token tool-call decision. Cost per agent step.

Detalhes de preço

Preço recomendado de openai · gpt-4-turbo

$10.00
Entrada
$30.00
Saída

Provedor mais barato: poe · $9.00 entrada + $27.00 saída

Disponível em 9 provedores

ProvedorID do modelo do provedorEntrada / 1MSaída / 1MContextoLançado
OpenAI
openai
gpt-4-turbo$10.00$30.00128K2023-11-06
Azure Cognitive Services
azure-cognitive-services
gpt-4-turbo$10.00$30.00128K2023-11-06
Azure
azure
gpt-4-turbo$10.00$30.00128K2023-11-06
Vercel AI Gateway
vercel
openai/gpt-4-turbo$10.00$30.00128K2023-11-06
NanoGPT
nano-gpt
openai/gpt-4-turbo$10.00$30.00128K2023-11-06
Kilo Gateway
kilo
openai/gpt-4-turbo$10.00$30.00128K2023-09-13
Cloudflare AI Gateway
cloudflare-ai-gateway
openai/gpt-4-turbo$10.00$30.00128K2023-11-06
Poe
poe
openai/gpt-4-turbo$9.00$27.00128K2023-09-13
LLM Gateway
llmgateway
gpt-4-turbo$10.00$30.00128K2023-11-06

Inconsistências de dados entre provedores

  • release_date varies (span 54d): 2023-09-13, 2023-11-06

Os provedores reportam valores diferentes para este modelo. Os dados rápidos acima usam um provedor representativo; consulte a tabela para detalhes por provedor.

Frequently asked questions

How much does GPT-4 Turbo cost?

GPT-4 Turbo costs $10.00 per 1M input tokens and $30.00 per 1M output tokens, sourced from openai. Cache reads, audio tokens and >200K-context tiers (where applicable) are listed in the Pricing detail block above.

What is the context window of GPT-4 Turbo?

GPT-4 Turbo has a context window of 128K tokens, with a max output of 4K tokens per reply. This is the total combined size of prompt + completion.

Does GPT-4 Turbo support tool calling?

Yes. GPT-4 Turbo 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 GPT-4 Turbo support structured output / JSON mode?

No. GPT-4 Turbo does not support structured output / JSON-schema-constrained decoding. If your workflow requires it, look at the /capabilities/structured-output list for alternatives.

Can GPT-4 Turbo accept image input?

Yes. GPT-4 Turbo accepts both text and image input. Vision pricing per image is usually billed on top of the regular token rate — check OpenAI's docs for the exact rule.

Is GPT-4 Turbo open-weight?

No. GPT-4 Turbo is a proprietary model — only OpenAI (and any approved hosting partners) can serve it. The pricing above reflects the cheapest API access.

What are the best alternatives to GPT-4 Turbo?

If GPT-4 Turbo doesn't fit, consider GPT OSS 120B, GPT OSS 20B, GPT-5.2. 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.

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Capability lists this model is in

Última atualização:

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.