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GPT-4.1 nano

openai/gpt-4-1-nano

Par OpenAI · famille: gpt-nano · sorti 2025-04-14 · fin de connaissance: 2024-04

$0.100
Entrée / 1M jetons
$0.400
Sortie / 1M jetons
1.05M
Fenêtre de contexte
33K
Sortie max

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

Capacités

✓ Tool calling✗ Raisonnement✓ Sortie structurée✓ Pièces jointes✗ Poids ouverts✓ Contrôle de température
Modalités: entrée text, image · sortie 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 output99
  • Structured output / JSON mode50/50
  • Tool calling20/20
  • Temperature control10/10
  • Price-friendly for high-volume19/20
Cost efficiency75
  • Headline price (log-scaled)70/95
  • 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
$0.70
< $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
$1.40
< $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
$0.40
< $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
$1.20
< $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
$1.44
< $0.01 per request
12K input tokens (long-running tool history) and a 600-token tool-call decision. Cost per agent step.

Détail des tarifs

Tarif recommandé de openai · gpt-4.1-nano

$0.100
Entrée
$0.400
Sortie
$0.030
Lecture cache

Fournisseur le moins cher : github-models · Unknown entrée + Unknown sortie

Disponible chez 12 fournisseurs

FournisseurID modèle fournisseurEntrée / 1MSortie / 1MContextePublié le
OpenAI
openai
gpt-4.1-nano$0.100$0.4001.05M2025-04-14
Azure Cognitive Services
azure-cognitive-services
gpt-4.1-nano$0.100$0.4001.05M2025-04-14
Azure
azure
gpt-4.1-nano$0.100$0.4001.05M2025-04-14
GitHub Models
github-models
openai/gpt-4.1-nanoUnknownUnknown128K2025-04-14
Vercel AI Gateway
vercel
openai/gpt-4.1-nano$0.100$0.4001.05M2025-04-14
302.AI
302ai
gpt-4.1-nano$0.100$0.4001.05M2025-04-14
NanoGPT
nano-gpt
openai/gpt-4.1-nano$0.100$0.4001.05M2025-04-14
Abacus
abacus
gpt-4.1-nano$0.100$0.4001.05M2025-04-14
Kilo Gateway
kilo
openai/gpt-4.1-nano$0.100$0.4001.05M2025-04-14
Poe
poe
openai/gpt-4.1-nano$0.090$0.3601.05M2025-04-15
Helicone
helicone
gpt-4.1-nano$0.100$0.4001.05M2025-04-14
LLM Gateway
llmgateway
gpt-4.1-nano$0.100$0.4001.05M2025-04-14

Incohérences de données entre fournisseurs

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

Les fournisseurs rapportent des valeurs différentes pour ce modèle. Les infos clés ci-dessus utilisent un fournisseur représentatif ; voir le tableau pour le détail par fournisseur.

Frequently asked questions

How much does GPT-4.1 nano cost?

GPT-4.1 nano costs $0.100 per 1M input tokens and $0.400 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 nano?

GPT-4.1 nano 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 nano support tool calling?

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

Yes. GPT-4.1 nano 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 nano accept image input?

Yes. GPT-4.1 nano 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 nano open-weight?

No. GPT-4.1 nano 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 nano?

If GPT-4.1 nano 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

Dernière mise à jour :

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.