AIモデルインテリジェンス

GPT-4.1 mini

openai/gpt-4-1-mini

提供： OpenAI · ファミリー: gpt-mini · リリース 2025-04-14 · 知識カットオフ: 2024-04

$0.400
入力 / 100万トークン
$1.60
出力 / 100万トークン
1.05M
コンテキスト長
33K
最大出力

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

機能一覧

✓ ツール呼び出し✗ 推論✓ 構造化出力✓ 添付✗ オープンウェイト✓ 温度制御
モダリティ: 入力 text, image, pdf · 出力 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.

Coding90
  • Tool calling40/40
  • Structured output20/20
  • Reasoning0/10
  • Context window (100K → 1M)20/20
  • Provider availability10/10
Agents85
  • Tool calling35/35
  • Structured output25/25
  • Reasoning0/15
  • Output token limit15/15
  • Provider availability10/10
JSON / structured output96
  • Structured output / JSON mode50/50
  • Tool calling20/20
  • Temperature control10/10
  • Price-friendly for high-volume16/20
Cost efficiency60
  • Headline price (log-scaled)55/95
  • Has prompt-cache pricing5/5
Long context91
  • Context window (100K → 2M)81/90
  • Has published price for full window10/10
Vision100
  • Accepts image input50/50
  • Context window (10K → 1M)30/30
  • Has published price10/10
  • Provider availability10/10
Production-readiness96
  • Number of independent providers40/40
  • Has published per-token price20/20
  • Context window ≥ 8K15/15
  • 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
$2.80
< $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
$5.60
< $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
$1.60
< $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
$4.80
< $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
$5.76
< $0.01 per request
12K input tokens (long-running tool history) and a 600-token tool-call decision. Cost per agent step.

料金詳細

推奨料金 (提供元): openai · gpt-4.1-mini

$0.400
入力
$1.60
出力
$0.100
キャッシュ読み取り

最安プロバイダー: github-models · Unknown 入力 + Unknown 出力

16 か所で利用可能

プロバイダープロバイダーモデルID入力 / 1M出力 / 1Mコンテキストリリース日
OpenAI
openai
gpt-4.1-mini$0.400$1.601.05M2025-04-14
Azure Cognitive Services
azure-cognitive-services
gpt-4.1-mini$0.400$1.601.05M2025-04-14
Azure
azure
gpt-4.1-mini$0.400$1.601.05M2025-04-14
GitHub Models
github-models
openai/gpt-4.1-miniUnknownUnknown128K2025-04-14
OpenRouter
openrouter
openai/gpt-4.1-mini$0.400$1.601.05M2025-04-14
Vercel AI Gateway
vercel
openai/gpt-4.1-mini$0.400$1.601.05M2025-04-14
302.AI
302ai
gpt-4.1-mini$0.400$1.601.05M2025-04-14
NanoGPT
nano-gpt
openai/gpt-4.1-mini$0.400$1.601.05M2025-04-14
Abacus
abacus
gpt-4.1-mini$0.400$1.601.05M2025-04-14
Kilo Gateway
kilo
openai/gpt-4.1-mini$0.400$1.601.05M2025-04-14
SAP AI Core
sap-ai-core
gpt-4.1-mini$0.400$1.601.05M2025-04-14
Poe
poe
openai/gpt-4.1-mini$0.360$1.401.05M2025-04-15
Helicone
helicone
gpt-4.1-mini$0.400$1.601.05M2025-04-14
AIHubMix
aihubmix
gpt-4.1-mini$0.400$1.601.05M2025-04-14
Requesty
requesty
openai/gpt-4.1-mini$0.400$1.601.05M2025-04-14
LLM Gateway
llmgateway
gpt-4.1-mini$0.400$1.601.05M2025-04-14

プロバイダー間でデータに差異

  • context_window varies: 1047576, 128000
  • modalities varies across offerings

プロバイダーごとに本モデルの値が異なります。上部の「主要数値」は代表的プロバイダーを使用しています。詳細は表をご確認ください。

Frequently asked questions

How much does GPT-4.1 mini cost?

GPT-4.1 mini costs $0.400 per 1M input tokens and $1.60 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-4.1 mini?

GPT-4.1 mini has a context window of 1.05M tokens, with a max output of 33K tokens per reply. This is the total combined size of prompt + completion.

Does GPT-4.1 mini support tool calling?

Yes. GPT-4.1 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-4.1 mini support structured output / JSON mode?

Yes. GPT-4.1 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-4.1 mini accept image input?

Yes. GPT-4.1 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-4.1 mini open-weight?

No. GPT-4.1 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-4.1 mini?

If GPT-4.1 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.

Explore more

More OpenAI models

Capability lists this model is in

See also

最終更新：

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.