openai
OpenAI: GPT-4o (2024-05-13)
openai/gpt-4o-2024-05-13
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-4o-2024-05-13 as an OpenAI multimodal model that accepts text, images, and files and produces text. Its listing includes a large context window, a fixed knowledge cutoff, and API parameters for tools, structured outputs, sampling controls, and web-search options. An independent model card was not available in this source pack. The catalog describes intelligence comparable with GPT-4 Turbo, but the supplied benchmark data only includes a populated coding index, so suitability should be validated on the intended workload.[1]
Strengths
- Accepts text, image, and file inputs and returns text, according to the OpenRouter catalog.[1]
- Lists a broad context window and API controls for tools, structured outputs, response formatting, sampling, seeds, and web-search options.[1]
- The catalog description characterizes its intelligence as comparable with GPT-4 Turbo; this is a reported claim rather than independent proof.[1]
Limitations
- Text is the only listed output modality, and the reasoning field is null, leaving dedicated reasoning support unverified.[1]
- Evidence is catalog-only, with no independent model card in this pack; the benchmark block has a coding result but empty intelligence and agentic fields.[1]
- The catalog lists an October 2023 knowledge cutoff, so freshness-sensitive uses require current-source and workload validation.[1]
Where to use it
- Evaluate for assistants that analyze supplied images or files and answer in text.[1]
- Consider for API applications that need tool calls, constrained responses, or structured outputs, subject to integration testing.[1]
- Pilot for coding-oriented drafting or review only after task-specific testing, since the supplied measured evidence is limited.[1]
Sources
- [1] OpenRouter catalog · OpenAI: GPT-4o (2024-05-13)Sources checked: Nov 13, 2026
About this model
Description below is the original text supplied by OpenRouter, shown in the source language.
GPT-4o ("o" for "omni") is OpenAI's latest AI model, supporting both text and image inputs with text outputs. It maintains the intelligence level of [GPT-4 Turbo](/models/openai/gpt-4-turbo) while being twice as...
Specifications
- Model ID
- openai/gpt-4o-2024-05-13
- Creator
- openai
- Added to OpenRouter
- 13.05.2024
- Context length
- 128,000
- Modality
- text+image+file->text
- Input modalities
- text, image, file
- Output modalities
- text
- Token pricing
- USD per 1M tokens: in $5 / out $15
- 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 | 24.2 | 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 | $5 | $15 | — | — | 100% |
Provider data retrieved: 13.11.2026
Related articles
No published articles identify this model yet.