OpenAI

GPT-4o-mini

Tool callingStructured outputImage inputFile input

Small omni GPT for cheap multimodal assistance and production-scale traffic

Context
128K
Released
—
Input / 1M tokens
$0.15
Output / 1M tokens
$0.60
Cached input / 1M tokens
$0.08

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.

No benchmark results have been matched to this model yet.

Specifications

Developer
OpenAI
Model family
GPT
Type
Language model
Predecessor
—
Successor
—
Released
—
Model ID
openai/gpt-4o-mini
Openness
Closed
License
—
Input modalities
text, image, file
Output modalities
text
Modality
text+image+file->text
Tokenizer
GPT
Max output tokens
16K
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-mini
Source family
gpt-mini
Last updated
2024-07-18
Knowledge cutoff
2023-09
Model context
128K
Model output limit
16K
Open weights
No
File attachments
Yes
Reasoning
No
Tool calling
Yes
Structured output
Yes
Temperature control
Yes

Published benchmarks

BenchmarkScoreEvaluation detailsEvidence
Aider Polyglot3.6 · percent correct2024-12-21Source
SciCode22.9 · percent correct2026-03-11Source
Complete source record (JSON)
{
  "id": "openai/gpt-4o-mini",
  "name": "GPT-4o mini",
  "description": "Small omni GPT for cheap multimodal assistance and production-scale traffic",
  "family": "gpt-mini",
  "last_updated": "2024-07-18",
  "knowledge": "2023-09",
  "attachment": true,
  "reasoning": false,
  "tool_call": true,
  "structured_output": true,
  "temperature": true,
  "modalities": {
    "input": [
      "text",
      "image",
      "pdf"
    ],
    "output": [
      "text"
    ]
  },
  "limit": {
    "context": 128000,
    "output": 16384
  },
  "benchmarks": [
    {
      "name": "Aider Polyglot",
      "score": 3.6,
      "source": "https://aider.chat/docs/leaderboards/",
      "metric": "percent correct",
      "date": "2024-12-21"
    },
    {
      "name": "SciCode",
      "score": 22.9,
      "source": "https://openrouter.ai/openai/gpt-4o-mini/benchmarks",
      "metric": "percent correct",
      "date": "2026-03-11"
    }
  ],
  "release_date": "2024-07-18",
  "open_weights": false
}

Infrastructure

Provider availability

All providers
ProviderEndpointContextInput /M tokensOutput /M tokensCached input /M tokensCache write /M tokensUptime 1dData handling
Azureazure128K$0.15$0.60$0.08—99.79%
ZDR: Yes

Training: Unknown

Prompt logging: Unknown

Retention: Unknown

Checked 2026-10-15

AzureazureBatch pricing128K$0.15$0.60$0.08—99.79%
ZDR: No

Training: Unknown

Prompt logging: Unknown

Retention: Unknown

Checked 2026-10-15

OpenAIopenai128K$0.15$0.60$0.08—100.00%
ZDR: No

Training: Unknown

Prompt logging: Unknown

Retention: Unknown

Checked 2026-10-15

OpenAIopenaiBatch pricing128K$0.15$0.60$0.08—100.00%
ZDR: No

Training: Unknown

Prompt logging: Unknown

Retention: Unknown

Checked 2026-10-15

Azureazure/swedencentral128K$0.17$0.66$0.08—100.00%
ZDR: Yes

Training: Unknown

Prompt logging: Unknown

Retention: Unknown

Checked 2026-10-15

Azureazure/swedencentralBatch pricing128K$0.17$0.66$0.08—100.00%
ZDR: No

Training: Unknown

Prompt logging: Unknown

Retention: Unknown

Checked 2026-10-15

Provider data:OpenRouter

Text provenance

EU · product-scoped

OpenAI 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