openai
OpenAI: GPT-4o-mini
openai/gpt-4o-mini
Our take
AI-assisted analysis based on the sources below. Suitability is an editorial assessment; test it on your own workload.
OpenAI's GPT-4o-mini, cataloged by OpenRouter under the ID openai/gpt-4o-mini, is a small general-purpose model that accepts text, image, and file inputs and returns text. OpenRouter's listing reports a 128K-token context window, a knowledge cutoff of October 2023, and parameters for tool calling, structured outputs, and optional web search. An independent model card was not available in this source pack, so capabilities are catalog-reported rather than independently verified, and third-party benchmark coverage is limited to one coding-oriented index.[1]
Strengths
- According to the OpenRouter catalog, openai/gpt-4o-mini accepts text, image, and file inputs and produces text, suiting it to multimodal prompts.[1]
- The catalog lists a 128K-token context window and an October 2023 knowledge cutoff, giving headroom for long-document inputs.[1]
- Supported parameters include tools, tool_choice, structured_outputs, seed, and web_search_options, indicating function calling and controllable output options in the catalog.[1]
Limitations
- Evidence is catalog-only: no independent model card was included in this source pack, so capabilities should be validated on your actual workload before adoption.[1]
- Measured performance evidence is thin: the only benchmark data is a single third-party coding index, with no reported intelligence or agentic scores.[1]
- The catalog's reasoning field is empty, so whether the model exposes a dedicated reasoning mode is unknown.[1]
Where to use it
- A plausible fit for cost-conscious assistants, summarization, and document QA that mix text with image or file inputs, pending validation on real workloads.[1]
- Extraction or agent pipelines needing structured outputs and tool calls are a reasonable candidate, though real-world behavior is unverified in this evidence.[1]
Sources
- [1] OpenRouter catalog · OpenAI: GPT-4o-miniSources 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
- 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 $0.150 / out $0.600
- 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) |
|---|---|---|---|---|---|---|
| Azure | 128,000 | $0.150 | $0.600 | — | — | 100% |
| OpenAI | 128,000 | $0.150 | $0.600 | — | — | 100% |
| Azure | 128,000 | $0.165 | $0.660 | — | — | 100% |
Provider data retrieved: 13.11.2026
Related articles
No published articles identify this model yet.