AI 模型情報

GPT-5 Mini

openai/gpt-5-mini

出品方: OpenAI · 系列: gpt-mini · 發布 2025-08-07 · 知識截止: 2024-05-30

$0.250
輸入 / 1M token
$2.00
輸出 / 1M token
400K
上下文長度
128K
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, image · 輸出 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.

Coding92
  • Tool calling40/40
  • Structured output20/20
  • Reasoning10/10
  • Context window (100K → 1M)12/20
  • Provider availability10/10
Agents100
  • Tool calling35/35
  • Structured output25/25
  • Reasoning15/15
  • Output token limit15/15
  • Provider availability10/10
JSON / structured output86
  • Structured output / JSON mode50/50
  • Tool calling20/20
  • Temperature control0/10
  • Price-friendly for high-volume16/20
Cost efficiency59
  • Headline price (log-scaled)54/95
  • Has prompt-cache pricing5/5
Long context70
  • Context window (100K → 2M)60/90
  • Has published price for full window10/10
Vision94
  • Accepts image input50/50
  • Context window (10K → 1M)24/30
  • Has published price10/10
  • Provider availability10/10
Production-readiness94
  • Number of independent providers40/40
  • Has published per-token price20/20
  • Context window ≥ 8K15/15
  • No data inconsistencies across providers4/10
  • 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
$2.25
< $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
$4.50
< $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
$1.50
< $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
$4.00
< $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
$4.20
< $0.01 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 openai · gpt-5-mini

$0.250
輸入
$2.00
輸出
$0.025
快取讀取

最便宜的渠道: github-copilot · Unknown 輸入 + Unknown 輸出

於 21 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
OpenAI
openai
gpt-5-mini$0.250$2.00400K2025-08-07
GitHub Copilot
github-copilot
gpt-5-miniUnknownUnknown264K2025-08-13
Azure Cognitive Services
azure-cognitive-services
gpt-5-mini$0.250$2.00272K2025-08-07
Azure
azure
gpt-5-mini$0.250$2.00272K2025-08-07
OpenRouter
openrouter
openai/gpt-5-mini$0.250$2.00400K2025-08-07
Vercel AI Gateway
vercel
openai/gpt-5-mini$0.250$2.00400K2025-08-07
302.AI
302ai
gpt-5-mini$0.250$2.00400K2025-08-08
NanoGPT
nano-gpt
openai/gpt-5-mini$0.250$2.00400K2025-08-07
Abacus
abacus
gpt-5-mini$0.250$2.00400K2025-08-07
Perplexity Agent
perplexity-agent
openai/gpt-5-mini$0.250$2.00400K2025-08-07
Jiekou.AI
jiekou
gpt-5-mini$0.225$1.80400K2026-01
Vivgrid
vivgrid
gpt-5-mini$0.250$2.00272K2025-08-07
Kilo Gateway
kilo
openai/gpt-5-mini$0.250$2.00400K2025-08-07
SAP AI Core
sap-ai-core
gpt-5-mini$0.250$2.00400K2025-08-07
Poe
poe
openai/gpt-5-mini$0.220$1.80400K2025-06-25
Helicone
helicone
gpt-5-mini$0.250$2.00400K2025-01-01
Requesty
requesty
openai/gpt-5-mini$0.250$2.00128K2025-08-07
DigitalOcean
digitalocean
openai-gpt-5-mini$0.250$2.00400K2025-08-07
LLM Gateway
llmgateway
gpt-5-mini$0.250$2.00400K2025-08-07
FastRouter
fastrouter
openai/gpt-5-mini$0.250$2.00400K2025-08-07
QiHang
qihang-ai
gpt-5-mini$0.040$0.290200K2025-09-15

各渠道資料存在不一致

  • context_window varies: 128000, 200000, 264000, 272000, 400000
  • release_date varies (span 365d): 2025-01-01, 2025-06-25, 2025-08-07, 2025-08-08, 2025-08-13, 2025-09-15, 2026-01
  • 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-5 Mini cost?

GPT-5 Mini costs $0.250 per 1M input tokens and $2.00 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-5 Mini?

GPT-5 Mini has a context window of 400K tokens, with a max output of 128K tokens per reply. This is the total combined size of prompt + completion.

Does GPT-5 Mini support tool calling?

Yes. GPT-5 Mini 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-5 Mini support structured output / JSON mode?

Yes. GPT-5 Mini supports structured output / JSON-schema-constrained decoding. This makes it suitable for production agent and automation workloads where the model has to invoke external functions reliably.

Can GPT-5 Mini accept image input?

Yes. GPT-5 Mini 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-5 Mini open-weight?

No. GPT-5 Mini 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-5 Mini?

If GPT-5 Mini 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.

Direct comparisons

More OpenAI models

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.