openai
OpenAI: GPT-4o-mini (batch)
openai/gpt-4o-mini:batch
Our take
AI-assisted analysis based on the sources below. Suitability is an editorial assessment; test it on your own workload.
GPT-4o-mini:batch is OpenAI's batch variant of the GPT-4o mini model, as listed in the OpenRouter catalog. The catalog reports text, image, and file inputs with text output, a 128,000-token context window, and support for tools, structured outputs, and related parameters. Its reported per-token pricing is very low, suiting non-urgent workloads. An independent model card was not available in this source pack, so capabilities are catalog-reported and should be validated against your workload.[1]
Strengths
- The OpenRouter catalog lists multimodal inputs (text, image, and file) with text output, plus a 128,000-token context window.[1]
- Catalog-reported support for tool calling, structured outputs, response formatting, logprobs, and seed parameters could suit structured data pipelines.[1]
- The catalog reports very low per-token input and output pricing plus discounted cached-input reads, indicating suitability for high-volume batch jobs.[1]
Limitations
- Output is text-only, and the catalog reports a knowledge cutoff of October 2023; reasoning parameters are not listed.[1]
- Published evaluation coverage is thin: the catalog provides only a coding index, with agentic and intelligence indices absent and no design arena results.[1]
- Evidence is catalog-only with no independent model card in this source pack, and batch turnaround or latency behavior is unspecified; validate with your own workload tests.[1]
Where to use it
- Bulk, non-latency-sensitive text processing such as classification, summarization, or extraction, where batch pricing and the large context window may help, subject to workload validation.[1]
- Document- and image-understanding pipelines at scale, given the catalog-listed image and file inputs.[1]
- Structured data extraction workflows that could leverage the listed structured output and tool-calling parameters.[1]
Sources
- [1] OpenRouter catalog · OpenAI: GPT-4o-mini (batch)Sources checked: Nov 13, 2026
About this model
Description below is the original text supplied by OpenRouter, shown in the source language.
GPT-4o mini is OpenAI's newest model after [GPT-4 Omni](/models/openai/gpt-4o), supporting both text and image inputs with text outputs. As their most advanced small model, it is many multiples more affordable...
Specifications
- Model ID
- openai/gpt-4o-mini:batch
- Canonical ID
- openai/gpt-4o-mini
- Creator
- openai
- Added to OpenRouter
- 18.07.2024
- Context length
- 128,000
- Modality
- text+image+file->text
- Input modalities
- text, image, file
- Output modalities
- text
- Token pricing
- USD per 1M tokens: in $0.075 / out $0.300
- Knowledge cutoff
- 31.10.2023
- 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 | — |
| Coding | CC — below the B band | — |
| Agents | No measurement | parameters: structured_outputs, tool_choice, tools |
| Writing | No measurement | output: text |
| Reasoning | No measurement | — |
| 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 | 11.4 | 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 | 128,000 | $0.075 | $0.300 | — | — | — |
Provider data retrieved: 13.11.2026
Related articles
No published articles identify this model yet.