openai
OpenAI: GPT-4o (2024-08-06)
openai/gpt-4o-2024-08-06
Our take
AI-assisted analysis based on the sources below. Suitability is an editorial assessment; test it on your own workload.
According to OpenRouter's catalog, openai/gpt-4o-2024-08-06 is the August 2024 snapshot of OpenAI's GPT-4o, a general-purpose model accepting text, image, and file inputs and producing text output. The catalog reports a 128,000-token context window, a knowledge cutoff in October 2023, and support for structured outputs via a supplied JSON schema, alongside tool calling and a broad set of API parameters. This source pack contains only catalog metadata; an independent model card was not available, and no benchmark results were reported.[1]
Strengths
- Accepts text, image, and file inputs, which the catalog lists as supported input modalities for this variant.[1]
- Reported support for structured outputs, including supplying a JSON schema through response_format, plus tool calling, seed, logprobs, and other generation controls.[1]
- The catalog documents a 128,000-token context window, large enough for long documents or extended conversations in principle.[1]
Limitations
- Evidence comes solely from the OpenRouter catalog; no independent model card was available in this source pack, so claims should be verified against primary documentation.[1]
- No benchmark scores or measured performance data were reported for this variant, so real-world quality on any workload is unverified here.[1]
- Output is listed as text only, and the catalog records an October 2023 knowledge cutoff, so it cannot generate images or audio and lacks post-cutoff knowledge on its own.[1]
Where to use it
- Worth evaluating for applications that need dependable machine-readable output, such as data extraction or API response formatting, given the reported JSON-schema structured outputs.[1]
- May suit document- and image-aware workflows, like visual question answering or file summarization, since the catalog lists image and file inputs.[1]
- A plausible candidate for tool-using assistants and agents, given the listed tools and tool_choice parameters, though agentic performance should be validated on your tasks.[1]
Sources
- [1] OpenRouter catalog · OpenAI: GPT-4o (2024-08-06)Sources checked: Nov 13, 2026
About this model
Description below is the original text supplied by OpenRouter, shown in the source language.
The 2024-08-06 version of GPT-4o offers improved performance in structured outputs, with the ability to supply a JSON schema in the respone_format. Read more [here](https://openai.com/index/introducing-structured-outputs-in-the-api/). GPT-4o ("o" for "omni") is...
Specifications
- Model ID
- openai/gpt-4o-2024-08-06
- Creator
- openai
- Added to OpenRouter
- 06.08.2024
- Context length
- 128,000
- Modality
- text+image+file->text
- Input modalities
- text, image, file
- Output modalities
- text
- Token pricing
- USD per 1M tokens: in $2.5 / out $10
- 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 | No measurement | — |
| 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
No evaluations are supplied for this model.
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 | $2.5 | $10 | — | — | — |
| OpenAI | 128,000 | $2.5 | $10 | — | — | 100% |
Provider data retrieved: 13.11.2026
Related articles
No published articles identify this model yet.