GPT-4o (2024-05-13)
GPT model for general reasoning, writing, coding, and tool-assisted tasks
- Context
- 128K
- Released
- —
- Input / 1M tokens
- $5.00
- Output / 1M tokens
- $15.00
Sources:models.devOpenRouter
Benchmarks
DeepSWE is the primary coding benchmark where an exact model evaluation exists. Other sourced evaluations appear below; missing scores are not zero.
Not evaluated in DeepSWE 1.1 as of 2026-09-22. Results are only shown for exact model versions in the official dataset. Official leaderboard.
Other published benchmarks
| Evaluation | Reported score and source |
|---|---|
| GPQA diamond | |
| OTIS Mock AIME 2024-2025 |
Benchmark compilation: Epoch AI, Capabilities & benchmarking (CC BY attribution). Scores are converted to percentages and model names matched to the Vertical Tabs catalog. Individual evaluations are credited to their original sources. External results may carry separate licences and evaluation configurations; do not interpret scores from different harnesses as directly comparable.
Specifications
- Developer
- OpenAI
- Model family
- GPT
- Type
- Language model
- Predecessor
- —
- Successor
- —
- Released
- —
- Model ID
openai/gpt-4o-2024-05-13- Openness
- Closed
- License
- —
- Input modalities
- text, image, file
- Output modalities
- text
- Modality
- text+image+file->text
- Tokenizer
- GPT
- Max output tokens
- 4K
- Knowledge cutoff
- 2023-09
- Hugging Face
- —
- Source freshness
- Metadata synced Oct 8, 2026, 10:17 PM UTC
Additional source evidence
- Source model
- openai/gpt-4o-2024-05-13
- Source family
- gpt
- Last updated
- 2024-05-13
- Knowledge cutoff
- 2023-09
- Model context
- 128K
- Model output limit
- 4K
- Open weights
- No
- File attachments
- Yes
- Reasoning
- No
- Tool calling
- Yes
- Structured output
- Yes
- Temperature control
- Yes
Published benchmarks
Complete source record (JSON)
{
"id": "openai/gpt-4o-2024-05-13",
"name": "GPT-4o (2024-05-13)",
"description": "GPT model for general reasoning, writing, coding, and tool-assisted tasks",
"family": "gpt",
"last_updated": "2024-05-13",
"knowledge": "2023-09",
"attachment": true,
"reasoning": false,
"tool_call": true,
"structured_output": true,
"temperature": true,
"modalities": {
"input": [
"text",
"image"
],
"output": [
"text"
]
},
"limit": {
"context": 128000,
"output": 4096
},
"benchmarks": [
{
"name": "Artificial Analysis Coding Index",
"score": 24.2,
"source": "https://openrouter.ai/openai/gpt-4o-2024-05-13/benchmarks",
"metric": "index",
"date": "2026-03-11"
},
{
"name": "SciCode",
"score": 30.9,
"source": "https://openrouter.ai/openai/gpt-4o-2024-05-13/benchmarks",
"metric": "percent correct",
"date": "2026-03-11"
}
],
"release_date": "2024-05-13",
"open_weights": false
}Infrastructure
Provider availability
| Provider | Endpoint | Context | Input /M tokens | Output /M tokens | Cached input /M tokens | Cache write /M tokens | Uptime 1d | Data handling |
|---|---|---|---|---|---|---|---|---|
| azure | 128K | $5.00 | $15.00 | — | — | 100.00% | ZDR: YesTraining: Unknown Prompt logging: Unknown Retention: Unknown Checked 2026-10-15 | |
| openai | 128K | $5.00 | $15.00 | — | — | 100.00% | ZDR: NoTraining: Unknown Prompt logging: Unknown Retention: Unknown Checked 2026-10-15 |
Provider data:OpenRouter
Text provenance
EU · product-scopedOpenAI textGrain watermarking
In the EU, ChatGPT-generated text uses textGrain. OpenAI says API customers can opt in globally for select models, so watermarking depends on the product surface and configuration.
Official explanation