AI Model Intelligence

GPT-5.4 nano

openai/gpt-5-4-nano

By OpenAI · family: gpt-nano · released 2026-03-17 · knowledge: 2025-08-31

$0.200
Input / 1M tokens
$1.25
Output / 1M tokens
400K
Context window
128K
Max output

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

Capabilities

✓ Tool calling✓ Reasoning✓ Structured output✓ Attachments✗ Open weights✗ Temperature control
Modalities: input text, image · output 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 output87
  • Structured output / JSON mode50/50
  • Tool calling20/20
  • Temperature control0/10
  • Price-friendly for high-volume17/20
Cost efficiency63
  • Headline price (log-scaled)58/95
  • 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-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
$1.63
< $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
$3.25
< $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
$1.03
< $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
$2.85
< $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
$3.15
< $0.01 per request
12K input tokens (long-running tool history) and a 600-token tool-call decision. Cost per agent step.

Pricing detail

Recommended pricing from openai · gpt-5.4-nano

$0.200
Input
$1.25
Output
$0.020
Cache read

Cheapest provider: poe · $0.180 input + $1.10 output

Available on 14 providers

ProviderProvider model idInput / 1MOutput / 1MContextReleased
OpenAI
openai
gpt-5.4-nano$0.200$1.25400K2026-03-17
Azure Cognitive Services
azure-cognitive-services
gpt-5.4-nano$0.200$1.25400K2026-03-17
Azure
azure
gpt-5.4-nano$0.200$1.25400K2026-03-17
OpenRouter
openrouter
openai/gpt-5.4-nano$0.200$1.25400K2026-03-17
Vercel AI Gateway
vercel
openai/gpt-5.4-nano$0.200$1.25400K2026-03-17
302.AI
302ai
gpt-5.4-nano$0.200$1.25400K2026-03-19
ZenMux
zenmux
openai/gpt-5.4-nano$0.200$1.25400K2026-03-20
Vivgrid
vivgrid
gpt-5.4-nano$0.200$1.25400K2026-03-17
Kilo Gateway
kilo
openai/gpt-5.4-nano$0.200$1.25400K2026-03-17
OpenCode Zen
opencode
gpt-5.4-nano$0.200$1.25400K2026-03-17
Poe
poe
openai/gpt-5.4-nano$0.180$1.10400K2026-03-11
FrogBot
frogbot
gpt-5-4-nano$0.200$1.25400K2025-08-07
DigitalOcean
digitalocean
openai-gpt-5.4-nano$0.200$1.25400K2026-03-17
LLM Gateway
llmgateway
gpt-5.4-nano$0.200$1.25400K2026-03-17

Data inconsistencies across providers

  • release_date varies (span 225d): 2025-08-07, 2026-03-11, 2026-03-17, 2026-03-19, 2026-03-20
  • modalities varies across offerings

Different providers report different values for this model. Quick facts above use the representative provider; consult the table for per-provider truth.

Frequently asked questions

How much does GPT-5.4 nano cost?

GPT-5.4 nano costs $0.200 per 1M input tokens and $1.25 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-5.4 nano?

GPT-5.4 nano 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-5.4 nano support tool calling?

Yes. GPT-5.4 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-5.4 nano support structured output / JSON mode?

Yes. GPT-5.4 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-5.4 nano accept image input?

Yes. GPT-5.4 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-5.4 nano open-weight?

No. GPT-5.4 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-5.4 nano?

If GPT-5.4 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

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Capability lists this model is in

See also

Last updated:

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.