GPT-5-Codex: Actualización de producto
Confirmado6 enlaces de referencia
Original en inglés

OpenAI
La relación es posible; no se ha confirmado que sea el mismo modelo.
Señales relacionadas: GPT-5
For developers using Codex CLI via API key, we plan to make GPT‑5‑Codex available in the API soon
earch' | 'o3-deep-research-2025-06-26' | 'o4-mini-deep-research' | 'o4-mini-deep-research-2025-06-26' | 'computer-use-preview' | 'computer-use-preview-2025-03-11' | 'gpt-5.5-pro' | 'gpt-5.5-pro-2026-04-23' | 'gpt-5-codex' | 'gpt-5-pro' | 'gpt-5-pro-2025-10-06' | 'gpt-5.1-codex-max' | 'gpt-daybreak-blue-latest' | 'gpt-daybreak-red-latest' | 'gpt-5.6-cyber' | 'gpt-6-cyber' | 'gpt-rosalind-research' | 'gpt-6-rosalind' | (string & {}); /** * The object type of this resource - always set to `response`. */ object: 'response'; /** * An array of content items generated by the model. * * - The length and order of items in the `output` array is dependent on the * model's response. * - Rather than accessing the first item in the `output` array and assuming it's * an `assistant` messag
use pretty_assertions::assert_eq; use toml::Value as TomlValue; use url::Url; #[test] fn app_server_accepts_cli_config_overrides() { let args = AppServerArgs::try_parse_from([ "codex-app-server", "-c", "model=\"gpt-5-codex\"", "--config", "sandbox_mode=\"read-only\"", "--listen", "off", ]) .expect("parse app-server args"); let parsed_overrides = args .config_overrides .parse_overrides() .expect("parse config overrides"); assert_eq!( parsed_overrides, vec![ ( "model".to_string(), TomlValue::String("gpt-5-codex".to_string()), ), ( "sandbox_mode".to_string(), TomlValue::String("read-only".to_string()), ), ] ); } #[test] fn app_server_accepts_
Esta referencia en el código no confirma un identificador de modelo en uso.
"gpt-4.1-mini-2025-04-14", "gpt-4.1-nano", "gpt-4.1-nano-2025-04-14", ), 1_047_576, ), **_model_context_windows( ( "gpt-5", "gpt-5-2025-08-07", "gpt-5-codex", "gpt-5-mini", "gpt-5-mini-2025-08-07", "gpt-5-nano", "gpt-5-nano-2025-08-07", "gpt-5-pro", "gpt-5-pro-2025-10-06", "gpt-5.1", "gpt-5.1-2025-11-13", "gpt-5.1-codex", "gpt-5.1-codex-max", "gpt-5.1-codex-mini", "gpt-5.2", "gpt-5.2-2025-12-11", "gpt-5.2-codex", "gpt-5.2-pro", "gpt-5.2-pro-2025-12-11", "gpt-5.3-codex", "gpt-5.4-mini", "gpt-5.4-mini-2026-03-17", "gpt-5.4-nano", "gpt-5.4-n
"o4-mini-deep-research", "o4-mini-deep-research-2025-06-26", "computer-use-preview", "computer-use-preview-2025-03-11", "gpt-5.5-pro", "gpt-5.5-pro-2026-04-23", "gpt-5-codex", "gpt-5-pro", "gpt-5-pro-2025-10-06", "gpt-5.1-codex-max", "gpt-daybreak-blue-latest", "gpt-daybreak-red-latest", "gpt-5.6-cyber", "gpt-6-cyber", "gpt-rosalind-research", "gpt-6-rosalind", ], str, None, ] = None """Model ID used to generate the response, like `gpt-6-astra`. OpenAI offers a wide range of models with different capabilities, performance characteristics, and price points. Refer to the [model guide](https://developers.openai.com/api/docs/models) to browse and compa
'gpt-5.4-pro', 'gpt-5.4-pro-2026-03-05', 'gpt-4.1', 'gpt-4.1-2025-04-14', 'gpt-4.1-mini', 'gpt-4.1-mini-2025-04-14', 'gpt-4.1-nano', 'gpt-4.1-nano-2025-04-14', ]); const SANDBOX_CONTEXT_WINDOWS_400K = new Set([ 'gpt-5', 'gpt-5-codex', 'gpt-5-mini', 'gpt-5-nano', 'gpt-5-pro', 'gpt-5.1', 'gpt-5.1-codex', 'gpt-5.1-codex-max', 'gpt-5.1-codex-mini', 'gpt-5.2', 'gpt-5.2-codex', 'gpt-5.2-codex-cyber', 'gpt-5.2-pro', 'gpt-5.3-codex', 'gpt-5.3-codex-spark', 'gpt-5.4-mini', 'gpt-5.4-nano', ]); const SANDBOX_CONTEXT_WINDOWS_200K = new Set([ 'codex-mini-latest', 'o1', 'o1-2024-12-17', 'o1-pro', 'o3', 'o3-2025-04-16', 'o3-mini', 'o3-pro', 'o3-deep-research', 'o4-mini', 'o4-mini-2025-04-16', 'o4-mini-deep-research', ]); const SANDBOX_CONTEXT_WINDOWS_128K = new Set([ 'gpt-4o', 'gpt-4o-2024-08-06', 'gpt-4o-mini',
We're excited to announce that GPT-5-codex is now available in the Responses API , in addition to codex surfaces
In day-to-day use, GPT-5-codex supports fast interactive edits and can run independently on longer tasks when needed
gpt-5-codexGPT-5-Codex es un modelo de OpenAI, lanzado el 2025-09-15. La ventana de contexto es de 400.000 tokens. El máximo de salida es de 128.000 tokens.
La ventana de contexto es de 400.000 tokens. El máximo de salida es de 128.000 tokens.
El 2025-09-15.