AI 模型情报

gpt-image-1

openai/gpt-image-1

出品方: OpenAI · 系列: gpt-image · 发布 2025-04-24

$5.00
输入 / 1M token
$40.00
输出 / 1M token
Unknown
上下文长度
Unknown
最大输出

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

能力清单

工具调用推理? 结构化输出附件开放权重温度可调
支持模态: 输入 text, image · 输出 image

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.

Coding3
  • Tool calling0/40
  • Structured output0/20
  • Reasoning0/10
  • Context window (100K → 1M)0/20
  • Provider availability3/10
Agents3
  • Tool calling0/35
  • Structured output0/25
  • Reasoning0/15
  • Output token limit0/15
  • Provider availability3/10
JSON / structured output0
  • Structured output / JSON mode0/50
  • Tool calling0/20
  • Temperature control0/10
  • Price-friendly for high-volume0/20
Cost efficiency26
  • Headline price (log-scaled)21/95
  • Has prompt-cache pricing5/5
Long context0
  • Context ≥ 100K0/100
Vision63
  • Accepts image input50/50
  • Context window (10K → 1M)0/30
  • Has published price10/10
  • Provider availability3/10
Production-readiness56
  • Number of independent providers15/40
  • Has published per-token price20/20
  • Context window ≥ 8K0/15
  • No data inconsistencies across providers6/10
  • 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
$45.00
$0.04 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
$90.00
< $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
$30.00
$0.03 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
$80.00
$0.08 per request
8K input tokens (diff + surrounding files) and a 1K-token review comment. PR-bot workloads.
Agent step
per 1,000 steps
$84.00
$0.08 per request
12K input tokens (long-running tool history) and a 600-token tool-call decision. Cost per agent step.

定价详情

推荐定价来自 digitalocean · openai-gpt-image-1

$5.00
输入
$40.00
输出
$1.25
缓存读

在 3 家渠道可用

服务商服务商模型 ID输入 / 1M输出 / 1M上下文发布日期
OpenAI
openai
gpt-image-1UnknownUnknownUnknown2025-04-24
Poe
poe
openai/gpt-image-1UnknownUnknown128K2025-03-31
DigitalOcean
digitalocean
openai-gpt-image-1$5.00$40.00Unknown2025-04-24

各渠道数据存在不一致

  • context_window varies: 0, 128000
  • release_date varies (span 24d): 2025-03-31, 2025-04-24

各服务商对此模型的报告值存在差异。上方「核心数据」使用代表性服务商的值;逐项请以下表为准。

Frequently asked questions

How much does gpt-image-1 cost?

gpt-image-1 costs $5.00 per 1M input tokens and $40.00 per 1M output tokens, sourced from digitalocean. Cache reads, audio tokens and >200K-context tiers (where applicable) are listed in the Pricing detail block above.

Does gpt-image-1 support tool calling?

No. gpt-image-1 does not support tool calling (function calling). If your workflow requires it, look at the /capabilities/tool-calling list for alternatives.

Does gpt-image-1 support structured output / JSON mode?

Support for structured output / JSON-schema-constrained decoding is not reported for gpt-image-1 in our data source. Verify with OpenAI's official documentation before relying on it in production.

Can gpt-image-1 accept image input?

Yes. gpt-image-1 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-image-1 open-weight?

No. gpt-image-1 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-image-1?

If gpt-image-1 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.

More OpenAI models

Capability lists this model is in

最近更新:

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.