AI 模型情報

GPT Image 2

openai/gpt-image-2

出品方: OpenAI · 系列: gpt-image · 發布 2026-04-21

$5.00
輸入 / 1M token
$30.00
輸出 / 1M token
Unknown
上下文長度
Unknown
最大輸出

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

能力清單

工具呼叫推理? 結構化輸出附件開放權重溫度可調
支援模態: 輸入 text · 輸出 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 output10
  • Structured output / JSON mode0/50
  • Tool calling0/20
  • Temperature control10/10
  • Price-friendly for high-volume0/20
Cost efficiency29
  • Headline price (log-scaled)24/95
  • Has prompt-cache pricing5/5
Long context0
  • Context ≥ 100K0/100
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
$40.00
$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
$80.00
< $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
$25.00
$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
$70.00
$0.07 per request
8K input tokens (diff + surrounding files) and a 1K-token review comment. PR-bot workloads.
Agent step
per 1,000 steps
$78.00
$0.08 per request
12K input tokens (long-running tool history) and a 600-token tool-call decision. Cost per agent step.

定價詳情

推薦定價來自 vercel · openai/gpt-image-2

$5.00
輸入
$30.00
輸出
$1.25
快取讀取

於 3 家供應商可用

服務商服務商模型 ID輸入 / 1M輸出 / 1M上下文發布日期
Vercel AI Gateway
vercel
openai/gpt-image-2$5.00$30.00Unknown2026-04-21
DigitalOcean
digitalocean
openai-gpt-image-2UnknownUnknownUnknown2025-04-24
Poe
poe
openai/gpt-image-2$5.05$32.32Unknown2026-04-21

各渠道資料存在不一致

  • release_date varies (span 362d): 2025-04-24, 2026-04-21
  • modalities varies across offerings

各服務商對此模型的回報值不一致。上方「核心數據」採用代表性服務商的值;逐項請以下表為準。

Frequently asked questions

How much does GPT Image 2 cost?

GPT Image 2 costs $5.00 per 1M input tokens and $30.00 per 1M output tokens, sourced from vercel. Cache reads, audio tokens and >200K-context tiers (where applicable) are listed in the Pricing detail block above.

Does GPT Image 2 support tool calling?

No. GPT Image 2 does not support tool calling (function calling). If your workflow requires it, look at the /capabilities/tool-calling list for alternatives.

Does GPT Image 2 support structured output / JSON mode?

Support for structured output / JSON-schema-constrained decoding is not reported for GPT Image 2 in our data source. Verify with OpenAI's official documentation before relying on it in production.

Can GPT Image 2 accept image input?

No. GPT Image 2 only accepts text as input. If you need image input, see our /capabilities/vision list for current vision-capable models.

Is GPT Image 2 open-weight?

No. GPT Image 2 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 2?

If GPT Image 2 doesn't fit, consider gpt-oss-120b, GPT-5.4, 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 are normalised into a single canonical model record and reconciled with each provider's official documentation. We re-pull daily and write any changes (price, context, capability) to the /changelog page.

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Pricing and capabilities are refreshed daily and reconciled against each provider's official documentation. Always verify critical production decisions with the provider directly.