openai
OpenAI: GPT-5 Nano (batch)
openai/gpt-5-nano:batch
Our take
AI-assisted analysis based on the sources below. Suitability is an editorial assessment; test it on your own workload.
OpenRouter lists openai/gpt-5-nano:batch as the batch variant of GPT-5 Nano and describes it as the smallest and fastest option in the GPT-5 system for developer tools and rapid, ultra-low-latency interactions. The catalog reports text, image, and file inputs with text output, a 400,000-token context, mandatory reasoning, and support for tools, structured outputs, seeds, and response formatting. This source pack contains only catalog data, so batch behavior and independent model-card details remain unverified.[1]
Strengths
Limitations
- The only evidence is OpenRouter's catalog; no independent model card was available, and measured results cover only selected Design Arena categories.[1]
- Reasoning is mandatory, and the catalog describes its depth as limited compared with larger GPT-5 variants.[1]
- The catalog does not explain the exact :batch execution semantics and lists an expiration date of 2026-12-11; verify availability and behavior before adoption.[1]
Where to use it
- Evaluate for tool-enabled extraction, classification, or transformation workflows that benefit from structured outputs and response controls.[1]
- Consider for applications that must produce text from text, image, and file inputs.[1]
- Test for developer-tool tasks where adjustable reasoning effort is useful, after confirming the provider's batch execution semantics.[1]
Sources
- [1] OpenRouter catalog · OpenAI: GPT-5 Nano (batch)Sources checked: Nov 13, 2026
About this model
Description below is the original text supplied by OpenRouter, shown in the source language.
GPT-5-Nano is the smallest and fastest variant in the GPT-5 system, optimized for developer tools, rapid interactions, and ultra-low latency environments. While limited in reasoning depth compared to its larger...
Specifications
- Model ID
- openai/gpt-5-nano:batch
- Canonical ID
- openai/gpt-5-nano-2025-08-07
- Creator
- openai
- Added to OpenRouter
- 07.08.2025
- Context length
- 400,000
- Modality
- text+image+file->text
- Input modalities
- text, image, file
- Output modalities
- text
- Token pricing
- USD per 1M tokens: in $0.025 / out $0.200
- Knowledge cutoff
- 31.05.2024
- Expiration date
- 11.12.2026
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: mandatory · default medium · efforts: high, medium, low, minimal · parameters: include_reasoning, reasoning, reasoning_effort |
| Coding | No measurement | — |
| Agents | No measurement | parameters: structured_outputs, tool_choice, tools |
| Writing | No measurement | output: text |
| Reasoning | No measurement | reasoning: mandatory · default medium · efforts: high, medium, low, minimal · 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 |
|---|---|---|---|---|
| Design Arena | models · 3dwin rate 36.3% · rank 126 | 948Elo | CC — below the B band | 13.11.2026 |
| Design Arena | models · codecategorieswin rate 48% · rank 114 | 1,075Elo | CC — below the B band | 13.11.2026 |
| Design Arena | models · datavizwin rate 46.2% · rank 112 | 1,054Elo | CC — below the B band | 13.11.2026 |
| Design Arena | models · gamedevwin rate 46.5% · rank 119 | 1,035Elo | CC — below the B band | 13.11.2026 |
| Design Arena | models · uicomponentwin rate 51.9% · rank 112 | 1,057Elo | CC — below the B band | 13.11.2026 |
| Design Arena | models · websitewin rate 48.9% · rank 115 | 1,094Elo | CC — below the B band | 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 | $0.025 | $0.200 | — | — | — |
Provider data retrieved: 13.11.2026
Related articles
No published articles identify this model yet.