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OpenAI: GPT-5.4 Nano (batch)

openai/gpt-5.4-nano:batch

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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
$0.10 / $0.625per 1M
Context
400K
Released
Mar 17, 2026
Knowledge Cutoff
Aug 2025
Compare
ProvidersPricingPerformanceUptimeBenchmarksAppsActivityDocumentationFAQExplore

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), Floor (cheapest), or Exacto (highest tool-calling accuracy).

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.

Performance

Throughput is how fast the model writes (tokens per second — higher is better). Latency is total round-trip time (lower is better). TTFT is time-to-first-token — how long before you see anything appear (lower is better).

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.

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 (batch) (Artificial Analysis)
SourceBenchmarkScore
Artificial AnalysisGPT-5.4 nano (xhigh) Intelligence Index20.7
Artificial AnalysisGPT-5.4 nano (xhigh) Coding Index56.1
Artificial AnalysisGPT-5.4 nano (xhigh) Agentic Index16.0
Artificial AnalysisGPT-5.4 nano (xhigh) GPQA Diamond81.7%
Artificial AnalysisGPT-5.4 nano (xhigh) HLE28.3%
Artificial AnalysisGPT-5.4 nano (xhigh) IFBench75.9%
Artificial AnalysisGPT-5.4 nano (xhigh) τ²-Bench Telecom76.0%
Artificial AnalysisGPT-5.4 nano (xhigh) AA-LCR76.7%
Artificial AnalysisGPT-5.4 nano (xhigh) GDPval-AA21.8%
Artificial AnalysisGPT-5.4 nano (xhigh) CritPt9.3%
Artificial AnalysisGPT-5.4 nano (xhigh) SciCode47.2%
Artificial AnalysisGPT-5.4 nano (xhigh) Terminal-Bench Hard42.4%
Artificial AnalysisGPT-5.4 nano (xhigh) AA-Omniscience Accuracy25.7%
Artificial AnalysisGPT-5.4 nano (xhigh) AA-Omniscience Non-Hallucination Rate25.8%
Artificial AnalysisGPT-5.4 nano (Non-Reasoning) GPQA Diamond55.8%
Artificial AnalysisGPT-5.4 nano (Non-Reasoning) HLE4.1%
Artificial AnalysisGPT-5.4 nano (Non-Reasoning) IFBench32.7%
Artificial AnalysisGPT-5.4 nano (Non-Reasoning) τ²-Bench Telecom34.8%
Artificial AnalysisGPT-5.4 nano (Non-Reasoning) AA-LCR29.7%
Artificial AnalysisGPT-5.4 nano (Non-Reasoning) CritPt0.0%
Artificial AnalysisGPT-5.4 nano (Non-Reasoning) Terminal-Bench Hard24.2%
Artificial AnalysisGPT-5.4 nano (Non-Reasoning) AA-Omniscience Accuracy14.9%
Artificial AnalysisGPT-5.4 nano (Non-Reasoning) AA-Omniscience Non-Hallucination Rate38.5%
Artificial AnalysisGPT-5.4 nano (medium) GPQA Diamond76.1%
Artificial AnalysisGPT-5.4 nano (medium) HLE15.9%
Artificial AnalysisGPT-5.4 nano (medium) IFBench64.4%
Artificial AnalysisGPT-5.4 nano (medium) τ²-Bench Telecom52.6%
Artificial AnalysisGPT-5.4 nano (medium) AA-LCR67.3%
Artificial AnalysisGPT-5.4 nano (medium) CritPt5.1%
Artificial AnalysisGPT-5.4 nano (medium) Terminal-Bench Hard33.3%
Artificial AnalysisGPT-5.4 nano (medium) AA-Omniscience Accuracy21.9%
Artificial AnalysisGPT-5.4 nano (medium) AA-Omniscience Non-Hallucination Rate48.9%

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.

Activity

Token volume and request traffic to this model over time.

API

Drop-in code to call this model. OpenRouter's API is OpenAI-compatible — most SDKs work by just swapping the base URL. The only thing that changes between models is the model slug below.

Documentation

Guides, cookbooks, and tools for building with OpenAI: GPT-5.4 Nano (batch) on OpenRouter.

  • GPT-5.4 Migration GuideCookbook

Explore more models

AI Models with Vision: Multimodal LLMs for Image UnderstandingCollectionAI Model RankingsRanking
$0.10$0.625$0.01----
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AutoExacto benchmarks
GPQA DiamondTAU-Benchauto-routing78.1%67.3%Azure77.8%64.7%OpenAI76.3%64.7%Azure76.4%62.7%

Not enough uptime data to display yet.

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 customization options.

Not enough data for apps using this model yet.

Frequently asked questions

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 GPT-5.4 Nano (batch) documentation on OpenRouter includes the GPT-5.4 Migration Guide cookbook. The quickstart covers API keys and your first request, and the API reference lists every parameter.

GPT-5.4 Nano (batch) costs $0.10/M input tokens and $0.625/M output tokens, with separate rates for Cache Read at $0.01/M tokens and Web Search at $10.00/1K calls.

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

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

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

GPT-6.1 Sol Pro, GPT-6.1 Sol, GPT-6 Luna Pro and 61 more are other text models from OpenAI.

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

More models from OpenAI

GPT-6.1 Sol Pro

GPT-6.1 Sol Pro is the same underlying model as GPT-6.1 Sol, served with reasoning.mode set to pro for higher-quality responses on complex tasks.

Cost note: pro mode spends far more reasoning tokens per request, so a typical request costs several times more than the same request on GPT-6.1 Sol and takes much longer to complete. It is intended for hard, high-stakes problems where the extra accuracy justifies the cost. For everyday coding, agentic, and chat workloads, use GPT-6.1 Sol instead.

Learn more in OpenAI's docs: https://developers.openai.com/api/docs/guides/reasoning#reasoning-mode

Text1.1M context$2 / $10
GPT-6.1 Sol Pro

GPT-6.1 Sol Pro is the same underlying model as GPT-6.1 Sol, served with reasoning.mode set to pro for higher-quality responses on complex tasks.

Cost note: pro mode spends far more reasoning tokens per request, so a typical request costs several times more than the same request on GPT-6.1 Sol and takes much longer to complete. It is intended for hard, high-stakes problems where the extra accuracy justifies the cost. For everyday coding, agentic, and chat workloads, use GPT-6.1 Sol instead.

Learn more in OpenAI's docs: https://developers.openai.com/api/docs/guides/reasoning#reasoning-mode

Text1.1M context$1 / $5
GPT-6.1 Sol

GPT-6.1 Sol is an upgrade to GPT-6 Sol from OpenAI, positioned below the flagship GPT-6 Astra in the GPT-6 series. It is suited for agentic coding, computer use, document-heavy professional work, and multi-step business workflow automation, and approaches Astra-level results on these tasks at a much lower cost. Compared with GPT-6 Sol, it makes fewer factual errors and is more reliable at respecting explicit restrictions and user intent during agentic tasks.

Text1.1M context$2 / $10
GPT-6.1 Sol

GPT-6.1 Sol is an upgrade to GPT-6 Sol from OpenAI, positioned below the flagship GPT-6 Astra in the GPT-6 series. It is suited for agentic coding, computer use, document-heavy professional work, and multi-step business workflow automation, and approaches Astra-level results on these tasks at a much lower cost. Compared with GPT-6 Sol, it makes fewer factual errors and is more reliable at respecting explicit restrictions and user intent during agentic tasks.

Text1.1M context$1 / $5
GPT-6 Luna Pro

GPT-6 Luna Pro is the same underlying model as GPT-6 Luna, served with reasoning.mode set to pro for higher-quality responses on complex tasks.

Cost note: pro mode spends far more reasoning tokens per request, so a typical request costs several times more than the same request on GPT-6 Luna and takes much longer to complete. It is intended for hard, high-stakes problems where the extra accuracy justifies the cost. For everyday coding, agentic, and chat workloads, use GPT-6 Luna instead.

Learn more in OpenAI's docs: https://developers.openai.com/api/docs/guides/reasoning#reasoning-mode

Text1.1M context$0.10 / $0.50
GPT-6 Luna Pro

GPT-6 Luna Pro is the same underlying model as GPT-6 Luna, served with reasoning.mode set to pro for higher-quality responses on complex tasks.

Cost note: pro mode spends far more reasoning tokens per request, so a typical request costs several times more than the same request on GPT-6 Luna and takes much longer to complete. It is intended for hard, high-stakes problems where the extra accuracy justifies the cost. For everyday coding, agentic, and chat workloads, use GPT-6 Luna instead.

Learn more in OpenAI's docs: https://developers.openai.com/api/docs/guides/reasoning#reasoning-mode

Text1.1M context$0.05 / $0.25
GPT-6 Luna

GPT-6 Luna is the fast, cost-efficient model in OpenAI's GPT-6 series, positioned below GPT-6 Sol. It is suited for high-volume and latency-sensitive workloads such as chat, classification, and lightweight agentic tasks, and at higher reasoning effort it can take on complex software engineering and computer-use tasks that previously called for a Sol-tier model. It shares the GPT-6 family's gains in factual reliability and its clearer, more concise communication style.

Text1.1M context$0.10 / $0.50
GPT-6 Luna

GPT-6 Luna is the fast, cost-efficient model in OpenAI's GPT-6 series, positioned below GPT-6 Sol. It is suited for high-volume and latency-sensitive workloads such as chat, classification, and lightweight agentic tasks, and at higher reasoning effort it can take on complex software engineering and computer-use tasks that previously called for a Sol-tier model. It shares the GPT-6 family's gains in factual reliability and its clearer, more concise communication style.

Text1.1M context$0.05 / $0.25
GPT-6 Sol Pro

GPT-6 Sol Pro is the same underlying model as GPT-6 Sol, served with reasoning.mode set to pro for higher-quality responses on complex tasks.

Cost note: pro mode spends far more reasoning tokens per request, so a typical request costs several times more than the same request on GPT-6 Sol and takes much longer to complete. It is intended for hard, high-stakes problems where the extra accuracy justifies the cost. For everyday coding, agentic, and chat workloads, use GPT-6 Sol instead.

Learn more in OpenAI's docs: https://developers.openai.com/api/docs/guides/reasoning#reasoning-mode

Text1.1M context$2 / $10
GPT-6 Sol Pro

GPT-6 Sol Pro is the same underlying model as GPT-6 Sol, served with reasoning.mode set to pro for higher-quality responses on complex tasks.

Cost note: pro mode spends far more reasoning tokens per request, so a typical request costs several times more than the same request on GPT-6 Sol and takes much longer to complete. It is intended for hard, high-stakes problems where the extra accuracy justifies the cost. For everyday coding, agentic, and chat workloads, use GPT-6 Sol instead.

Learn more in OpenAI's docs: https://developers.openai.com/api/docs/guides/reasoning#reasoning-mode

Text1.1M context$1 / $5
GPT-6 Sol

GPT-6 Sol is the cost-efficient high-end model in OpenAI's GPT-6 series, positioned below the flagship GPT-6 Astra and above the fast GPT-6 Luna tier. It is suited for demanding professional work, agentic coding, business workflow automation, and computer use, and is particularly strong at long-horizon software engineering tasks in real codebases. It approaches Astra-level factual reliability at a much lower cost and shares Astra's clearer, more concise communication style in technical and coding conversations.

Text1.1M context$2 / $10
GPT-6 Sol

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Text1.1M context$1 / $5
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GPT Luna Latest

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GPT Image 2.5 Sunburst is an image generation and editing model from OpenAI, positioned as the precision-oriented tier of the GPT Image 2.5 series. It is suited to detailed creative work where editing accuracy matters more than generation speed, via the dedicated Images API.

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