How much does GPT-5.4 Nano cost?

GPT-5.4 Nano costs $0.20/M input tokens and $1.25/M output tokens, with separate rates for Cache Read at $0.02/M tokens.

What is the context length of GPT-5.4 Nano?

GPT-5.4 Nano has a 400,000 token context window. It supports up to 128,000 completion tokens.

Does GPT-5.4 Nano support tool calling and structured outputs?

Yes. GPT-5.4 Nano accepts tools and tool_choice for function calling. It also supports structured outputs via a JSON schema in response_format.

What inputs and outputs does GPT-5.4 Nano support?

GPT-5.4 Nano accepts files such as PDFs, images, and text as input and returns text.

Which providers serve GPT-5.4 Nano?

GPT-5.4 Nano is served by 2 providers on OpenRouter: OpenAI and Azure. Requests are routed to the best available provider, with automatic failover to the others, and you can pin or exclude providers with provider routing.

When was GPT-5.4 Nano released?

GPT-5.4 Nano was released on March 17, 2026. Its knowledge cutoff is August 31, 2025.

OpenAI: GPT-5.4 Nano

openai/gpt-5.4-nano

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GPT-5.4 nano is the most lightweight and cost-efficient variant of the GPT-5.4 family, optimized for speed-critical and high-volume tasks. It supports text and image inputs and is designed for low-latency use cases such as classification, data extraction, ranking, and sub-agent execution.

The model prioritizes responsiveness and efficiency over deep reasoning, making it ideal for pipelines that require fast, reliable outputs at scale. GPT-5.4 nano is well suited for background tasks, real-time systems, and distributed agent architectures where minimizing cost and latency is essential.

Modalities

In / out price

$0.20 / $1.25per 1M

Context

400K

Released

Mar 17, 2026

Knowledge cutoff

Aug 2025

Providers

Different companies host the same model. OpenRouter routes your request to one of them based on the routing mode you pick: Balanced (price + speed), Nitro (fastest), or Floor (cheapest).

Latency / throughput


	$0.20	$1.25	$0.02	0.99s	78 tok/s	100.00%
	$0.20	$1.25	$0.02	1.57s	59 tok/s	100.00%
Not used in Standard routing:Why these endpoints are not used
Flex	$0.10	$0.625	$0.01	3.77s	20 tok/s	100.00%
	$0.22	$1.375	$0.022	0.98s	93 tok/s	100.00%

Input $0.20Output $1.25
78 tok/s100.00% uptime
Input $0.20Output $1.25
59 tok/s100.00% uptime
Not used in Standard routing:Why these endpoints are not used
Input $0.10Output $0.625
Flex
20 tok/s100.00% uptime
Input $0.22Output $1.375
93 tok/s100.00% uptime

Pricing

The average price customers actually pay for this model, next to the prices providers post. Caching and discounts mean the price actually paid is often well below the listed one.

Weighted average

Input

$0.07819/M tokens

Output

$1.247/M tokens

GPT-5.4 Nano — Price history

Price history

No effective price data for this selection

		$0.0342	$1.249	92.1%	26.5%
		$0.0945	$1.248	58.6%	73.3%
Not used in Standard routing:Why these endpoints are not used
	Flex	$0.0563	$0.623	48.3%	0.1%
		$0.0728	$1.371	74.3%	0.1%

Effective in $0.0342Effective out $1.249
Token share
26.5%
Effective in $0.0945Effective out $1.248
Token share
73.3%
Not used in Standard routing:Why these endpoints are not used
Effective in $0.0563Effective out $0.623
FlexToken share
0.1%
Effective in $0.0728Effective out $1.371
Token share
0.1%

Uptime

Uptime is the percentage of the past 3 days that at least one provider was responding to requests. Availability is the percentage of time that inference was successfully served. OpenRouter continuously monitors and uses the next-best provider when one returns an error.

Uptime (3d)

100.00%

Availability (3d)

99.98%

Availability over the last 3 days

Last 72 hours

Availability 99.98%

3 Days Ago2 Days AgoYesterdayNow

Availability over the last 24 hours

OpenRouter Availability

99.98%

Without Routing

99.82%

When an error occurs in an upstream provider, we can recover by routing to another healthy provider, if your request filters allow it. You can access per-provider uptime data programmatically through the Endpoints API. Learn more about our load balancing and provider routing options.

Benchmarks

Scores on standardized evaluations and this model’s own outputs on shared benchmark prompts. Higher percentages are better — and each rank shows where this model lands among the models evaluated on that source.

Benchmark score summary for OpenAI: GPT-5.4 Nano (Artificial Analysis and Vals AI)
Source	Benchmark	Score
Artificial Analysis	GPT-5.4 nano (Xhigh) Coding Index	56.1
Artificial Analysis	GPT-5.4 nano (Xhigh) Agentic Index	16.0
Artificial Analysis	GPT-5.4 nano (Xhigh) GPQA Diamond	81.7%
Artificial Analysis	GPT-5.4 nano (Xhigh) HLE	28.3%
Artificial Analysis	GPT-5.4 nano (Xhigh) IFBench	75.9%
Artificial Analysis	GPT-5.4 nano (Xhigh) τ²-Bench Telecom	76.0%
Artificial Analysis	GPT-5.4 nano (Xhigh) AA-LCR	76.7%
Artificial Analysis	GPT-5.4 nano (Xhigh) τ-Bench Banking	27.4%
Artificial Analysis	GPT-5.4 nano (Xhigh) GDPval-AA	22.7%
Artificial Analysis	GPT-5.4 nano (Xhigh) CritPt	9.3%
Artificial Analysis	GPT-5.4 nano (Xhigh) SciCode	47.2%
Artificial Analysis	GPT-5.4 nano (Xhigh) Terminal-Bench Hard	42.4%
Artificial Analysis	GPT-5.4 nano (Xhigh) Terminal-Bench 4.0	0.5%
Artificial Analysis	GPT-5.4 nano (Xhigh) Terminal-Bench 2.1	60.7%
Artificial Analysis	GPT-5.4 nano (Non-reasoning) GPQA Diamond	55.8%
Artificial Analysis	GPT-5.4 nano (Non-reasoning) HLE	4.1%
Artificial Analysis	GPT-5.4 nano (Non-reasoning) IFBench	32.7%
Artificial Analysis	GPT-5.4 nano (Non-reasoning) τ²-Bench Telecom	34.8%
Artificial Analysis	GPT-5.4 nano (Non-reasoning) AA-LCR	29.7%
Artificial Analysis	GPT-5.4 nano (Non-reasoning) CritPt	0.0%
Artificial Analysis	GPT-5.4 nano (Non-reasoning) Terminal-Bench Hard	24.2%
Artificial Analysis	GPT-5.4 nano (Medium) GPQA Diamond	76.1%
Artificial Analysis	GPT-5.4 nano (Medium) HLE	15.9%
Artificial Analysis	GPT-5.4 nano (Medium) IFBench	64.4%
Artificial Analysis	GPT-5.4 nano (Medium) τ²-Bench Telecom	52.6%
Artificial Analysis	GPT-5.4 nano (Medium) AA-LCR	67.3%
Artificial Analysis	GPT-5.4 nano (Medium) CritPt	5.1%
Artificial Analysis	GPT-5.4 nano (Medium) Terminal-Bench Hard	33.3%
Vals AI	GPT 5.4 Nano AIME	88.8%
Vals AI	GPT 5.4 Nano CaseLaw v2	51.9%
Vals AI	GPT 5.4 Nano Code Migration	14.5%
Vals AI	GPT 5.4 Nano CorpFin v2	61.2%
Vals AI	GPT 5.4 Nano EMB	44.8%
Vals AI	GPT 5.4 Nano Finance Agent (v2)	38.2%
Vals AI	GPT 5.4 Nano GPQA Diamond	77.5%
Vals AI	GPT 5.4 Nano Harvey's Legal Agent Benchmark v1	0.0%
Vals AI	GPT 5.4 Nano IOI v1	15.3%
Vals AI	GPT 5.4 Nano LiveCodeBench	84.0%
Vals AI	GPT 5.4 Nano LegalBench	77.9%
Vals AI	GPT 5.4 Nano Legal Research Bench	6.3%
Vals AI	GPT 5.4 Nano MedCode	41.0%
Vals AI	GPT 5.4 Nano MedScribe	77.1%
Vals AI	GPT 5.4 Nano MMLU Pro	77.2%
Vals AI	GPT 5.4 Nano MMMU Pro	73.6%
Vals AI	GPT 5.4 Nano MortgageTax	59.1%
Vals AI	GPT 5.4 Nano ProofBench v1	5.0%
Vals AI	GPT 5.4 Nano SAGE v1	38.1%
Vals AI	GPT 5.4 Nano SWE-bench	69.8%
Vals AI	GPT 5.4 Nano Tax Agent Bench	5.0%
Vals AI	GPT 5.4 Nano TaxEval v2	67.4%
Vals AI	GPT 5.4 Nano Terminal-Bench 2.1	41.6%
Vals AI	GPT 5.4 Nano Vals Index	33.0%
Vals AI	GPT 5.4 Nano Vals Multimodal Index	47.6%
Vals AI	GPT 5.4 Nano Vibe Code Bench v1.1	26.1%

Apps

Public apps that send the most traffic to this model. Good signal for what real production workloads look like — and a hint at which use cases this model is best suited for.

unit-reason-graph

new

11.8Btokens

Webapp

new

6.03Btokens

Hermes Agent

Hermes Agent is an open-source, self-improving AI agent by Nous Research that runs persistently with memory across sessions, and builds reusable skills from experience. It comes with 40+ built-in tools, including web search, browser automation, and vision, plus scheduled automations and subagents.

2.58Btokens

YourAppName

new

2.25Btokens

Codex

A coding agent that helps you build and ship with AI

1.84Btokens

Rest of OpenRouter

8.17B

Top 5 Apps

119M

Not currently available through EU in-region routing. In-region routing docs

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OpenAI: GPT-5.4 Nano

Providers