openai
OpenAI: GPT-5.4 Nano
openai/gpt-5.4-nano
Our take
AI-assisted analysis based on the sources below. Suitability is an editorial assessment; test it on your own workload.
OpenRouter's catalog presents openai/gpt-5.4-nano as OpenAI's smallest, cost-conscious GPT-5.4 variant for latency-sensitive, high-volume work. It lists text, image, and file inputs with text output, a large context window, tool calling, structured output, optional reasoning at several effort levels, and an August 2025 knowledge cutoff. The catalog also includes limited Artificial Analysis coding and agentic results, but no independent model card was available in this source pack, so workload validation remains necessary.[1]
Strengths
Limitations
- Evidence is catalog-only; no independent model card was available in this source pack.[1]
- Text is the only listed output modality; image or file generation is not catalog-listed.[1]
- Only limited Artificial Analysis coding and agentic index entries are supplied, with no intelligence-index value; validate against the intended workload.[1]
Where to use it
- Consider it for high-volume classification or chat where its catalog-described low-latency, cost-efficient positioning matters.[1]
- It may suit text extraction or summarization from documents and images, subject to workload validation.[1]
- Evaluate it for tool-using assistants that need structured outputs and optional, adjustable reasoning.[1]
Sources
- [1] OpenRouter catalog · OpenAI: GPT-5.4 NanoSources checked: Nov 13, 2026
About this model
Description below is the original text supplied by OpenRouter, shown in the source language.
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...
Specifications
- Model ID
- openai/gpt-5.4-nano
- Canonical ID
- openai/gpt-5.4-nano-20260317
- Creator
- openai
- Added to OpenRouter
- 17.03.2026
- Context length
- 400,000
- Modality
- text+image+file->text
- Input modalities
- file, image, text
- Output modalities
- text
- Token pricing
- USD per 1M tokens: in $0.200 / out $1.25
- Knowledge cutoff
- 31.08.2025
- Expiration date
- —
Tasks and capabilities
A grade appears only where the source supplies a matching measurement for that task, the model is active and the cohort holds at least 10 comparable models. The capability column lists facts the source declares — supported formats, reasoning and tool parameters — which are not measured quality.
| Task | Grade | Source-declared capability |
|---|---|---|
| General quality | No measurement | reasoning: optional · default medium · efforts: xhigh, high, medium, low, none · parameters: include_reasoning, reasoning, reasoning_effort |
| Coding | BB — next 30% of the cohort | — |
| Agents | BB — next 30% of the cohort | parameters: structured_outputs, tool_choice, tools |
| Writing | No measurement | output: text |
| Reasoning | No measurement | reasoning: optional · default medium · efforts: xhigh, high, medium, low, none · parameters: include_reasoning, reasoning, reasoning_effort |
| Document analysis | No measurement | input: file |
| Vision | No measurement | input: image |
| Image generation | No measurement | — |
| Audio | No measurement | — |
| Video | No measurement | — |
| Embeddings | No measurement | — |
Evaluations
| Source | Benchmark | Value | Grade | Data retrieved |
|---|---|---|---|---|
| Artificial Analysis | Coding index | 56.1 | BB — next 30% of the cohort | 13.11.2026 |
| Artificial Analysis | Agentic index | 16 | BB — next 30% of the cohort | 13.11.2026 |
How grades work
Each letter grade compares a model only against other models scored by the same source and metric in the current snapshot. S means the top 10%, A the next 20%, B the next 30%, C the rest. Models without a published measurement are shown as not rated — a supported format alone never implies measured quality.
- S — S — top 10% of the cohort
- A — A — next 20% of the cohort
- B — B — next 30% of the cohort
- C — C — below the B band
Providers
Optional live provider statistics from OpenRouter. Missing values are unknown, not zero.
| Provider | Context length | Price in /1M | Price out /1M | Latency p50 (30m, s) | Throughput p50 (30m, tok/s) | Uptime (30m) |
|---|---|---|---|---|---|---|
| OpenAI | 400,000 | $0.100 | $0.625 | — | — | — |
| Azure | 400,000 | $0.200 | $1.25 | — | — | 100% |
| OpenAI | 400,000 | $0.200 | $1.25 | — | — | 100% |
| Azure | 400,000 | $0.220 | $1.38 | — | — | — |
Provider data retrieved: 13.11.2026
Related articles
No published articles identify this model yet.