Alex Getmanseñales tempranas de IA
ES

GPT-5.4

OpenAI

Lanzado Actualizado
Ventana de contexto
1M
1.050.000 tokens
Salida máxima
128K
128.000 tokens
Entrada / Salida
texto, imagen → texto

Cronología

  1. · Disponibilidad en API · enlace de referencia · enlace de referencia · enlace de referencia
  2. · Actualización de producto · enlace de referencia
Precio entrada/salida · USD / 1 millón de tokens
ModeloEnlaces de referenciaPrecio entrada/salida
gpt-5.4
batch · long context
openai
Ruta de API no disponible
$2,50 (Entrada > 272.000 tokens) / $11,25 (Entrada > 272.000 tokens)
gpt-5.4
batch · short context
openai
Ruta de API no disponible
$1,25 (Entrada ≤ 272.000 tokens) / $7,50 (Entrada ≤ 272.000 tokens)
gpt-5.4
fast · short context
openai
Ruta de API no disponible
$5,00 (Entrada ≤ 272.000 tokens) / $30,00 (Entrada ≤ 272.000 tokens)
gpt-5.4
flex · long context
openai
Ruta de API no disponible
$2,50 (Entrada > 272.000 tokens) / $11,25 (Entrada > 272.000 tokens)
gpt-5.4
flex · short context
openai
Ruta de API no disponible
$1,25 (Entrada ≤ 272.000 tokens) / $7,50 (Entrada ≤ 272.000 tokens)
gpt-5.4
standard · long context
openai
Ruta de API no disponible
$5,00 (Entrada > 272.000 tokens) / $22,50 (Entrada > 272.000 tokens)
gpt-5.4
standard · short context
openai
Ruta de API no disponible
$2,50 (Entrada ≤ 272.000 tokens) / $15,00 (Entrada ≤ 272.000 tokens)
  1. · Enlaces de referencia · OpenAI · official articles
  2. · Uso confirmado · OpenAI · official articles · Introducing GPT-5.4
  3. · Enlaces de referencia · OpenAI · official articles
    Fragmento
    GPT‑5.4 was tested with a longer, updated blocklist
  4. · Enlaces de referencia · OpenAI · official articles
    Fragmento
    GPT‑5.4 could not
  5. · Entrada de catálogo · GitHub · openai/openai-node · code
    Fragmento
    replacements. */ model: | 'gpt-6-astra' | 'gpt-6.1-sol' | 'gpt-6.1-terra' | 'gpt-6-sol' | 'gpt-6-luna' | 'gpt-5.6-sol' | 'gpt-5.6-terra' | 'gpt-5.6-luna' | 'gpt-5.5' | 'gpt-5.5-2026-04-23' | 'gpt-5.4' | 'gpt-5.4-mini' | 'gpt-5.4-nano' | 'gpt-5.4-mini-2026-03-17' | 'gpt-5.4-nano-2026-03-17' | 'gpt-5.3-chat-latest' | 'gpt-5.2' | 'gpt-5.2-2025-12-11' | 'gpt-5.2-chat-latest' | 'gpt-5.2-pro' | 'gpt-5.2-pro-2025-12-11' | 'gpt-5.1' | 'gpt-5.1-2025-11-13' | 'gpt-5.1-codex' | 'gpt-5.1-mini' | 'gpt-5.1-chat-latest' | 'gpt-5' | 'gpt-5-mini' | 'gpt-5-nano' | 'gpt-5-2025-08-07' | 'gpt-5-mini-2025-08-07' | 'gpt-5-nano-2025-08-07' | 'gpt-5-chat-latest' | 'gpt-4.1' | 'gpt-4.1-mini' | 'gpt-4.1-nano' | 'gpt-4.1-2025-04-14' | 'gpt-4.1-mini-
  6. · Entrada de catálogo · GitHub · openai/codex · code
    Fragmento
    ope fallback migration metadata // to the owning provider, since other providers may still support the same model slug. let (target_model, current_name, target_name) = match (model_provider_id, model) { (OPENAI_PROVIDER_ID, "gpt-5.4") => ("gpt-6-sol", "GPT-5.4", "GPT-6 Sol"), (AMAZON_BEDROCK_PROVIDER_ID, "openai.gpt-5.4") => ( "openai.gpt-6-sol", "GPT-5.4 on Amazon Bedrock", "GPT-6 Sol on Amazon Bedrock", ), (OPENAI_PROVIDER_ID, "gpt-5.4-mini") => ("gpt-6-luna", "GPT-5.4 Mini", "GPT-6 Luna"), _ => return None, }; let availability = if model == "openai.gpt-5.4" { "no longer offered in Codex" } else { "no longer available" }; Some(ModelUpgrade { id: target_model.to_string(), migration_config_key: model.to_string(), model_link: None,
  7. · Entrada de catálogo · GitHub · openai/openai-agents-python · code
    Fragmento
    eturn isinstance(model, str) and model.startswith("computer-use-preview") @classmethod def _is_ga_computer_model(cls, model: str | ChatModel | None) -> bool: return isinstance(model, str) and ( model.startswith("gpt-5.4") or model.startswith("gpt-5.5") ) @classmethod def resolve_computer_tool_model( cls, *, request_model: str | ChatModel | None, tools: Sequence[Tool] | None, ) -> str | ChatModel | None: if not cls._has_computer_tool(tools): return None return request_model @classmethod def _should_use_preview_computer_tool( cls, *, model: str | ChatModel | None, tool_choice: Literal["auto", "required", "none"] | str | MCPToolChoice | None, ) -> bool: # Choose the computer tool wire shape from the effective request m
  8. · Entrada de catálogo · GitHub · openai/codex · code
    Fragmento
    root.join(".mcp.json"), r#"{"mcpServers":{"repository-server":{"command":"repository-server"}}}"#, )?; std::fs::write(&global_config, "model = \"gpt-5.4\"\n")?; let home_dir = codex_home.path().display().to_string(); let mut mcp = TestAppServer::builder() .with_codex_home(codex_home.path()) .without_auto_env() .with_env_overrides(&[("HOME", Some(home_dir.as_str()))]) .build_initialized_with_timeout(DEFAULT_TIMEOUT) .awa

    Esta referencia en el código no confirma un identificador de modelo en uso.

  9. · Entrada de catálogo · GitHub · openai/codex · code
    Fragmento
    , ) .expect("in-memory metrics client") } #[test] fn extension_metrics_preserve_session_metadata_tags() { let metrics = test_metrics_client(); let session_telemetry = SessionTelemetry::new( ThreadId::new(), "gpt-5.4", "gpt-5.4", /*account_id*/ None, /*account_email*/ None, Some(TelemetryAuthMode::Chatgpt), "test_originator".to_string(), /*log_user_prompts*/ false, "tty".to_string(), SessionSource::Cli, ) .with_metrics_service_name("test_service") .with_metrics(metrics.clone()); let extension_metrics = super::extension_metrics::from_session_telemetry(session_telemetry); extension_metrics.histogram( "codex.test.extension", /*value*/ 7, &[ ("component", "skills"), ("app.version", "extension-version"), ("

    Esta referencia en el código no confirma un identificador de modelo en uso.

  10. · Entrada de catálogo · GitHub · openai/openai-agents-python · code
    Fragmento
    , history[:], False) def _strip_orphaned_assistant_ids( items: list[TResponseInputItem], ) -> list[TResponseInputItem]: """Remove ``id`` from assistant messages when their paired reasoning items are missing. Some models (e.g. gpt-5.4) return compacted output that retains assistant message IDs even after stripping the reasoning items those IDs reference. Sending these orphaned IDs back to ``responses.create`` causes a 400 error because the API expects the paired reasoning item for each assistant message ID. This function detects and removes those orphaned IDs so the compacted history can be used safely. """ if not items: return items has_reasoning = any( isinstance(item, dict) and item.get("type") == "reasoning" for item in items ) if has_reasoning: return items cleaned: list[TResponseInputIt

    Esta referencia en el código no confirma un identificador de modelo en uso.

  11. · Entrada de catálogo · GitHub · openai/openai-python · code
    Fragmento
    -sol", "gpt-6.1-terra", "gpt-6-sol", "gpt-6-luna", "gpt-5.6-sol", "gpt-5.6-terra", "gpt-5.6-luna", "gpt-5.5", "gpt-5.5-2026-04-23", "gpt-5.4", "gpt-5.4-mini", "gpt-5.4-nano", "gpt-5.4-mini-2026-03-17", "gpt-5.4-nano-2026-03-17", "gpt-5.3-chat-latest", "gpt-5.2", "gpt-5.2-2025-12-11", "gpt-5.2-chat-latest", "gpt-5.2-pro", "gpt-5.2-pro-2025-12-11", "gpt-5.1", "gpt-5.1-2025-11-13", "gpt-5.1-codex", "gpt-5.1-mini", "gpt-5.1-chat-latest", "gpt-5", "gpt-5-mini", "gpt-5-nano", "gpt-5-2025-08-07", "gpt-5-mini-2025-08-07", "gpt-5-n
  12. · Entrada de catálogo · GitHub · openai/openai-agents-js · code
    Fragmento
    return [...new Set([normalized, withoutPinnedDate])]; } const SANDBOX_CONTEXT_WINDOWS_1M = new Set([ 'gpt-6-astra', 'gpt-6-sol', 'gpt-6-luna', 'gpt-6.1-sol', 'gpt-5.6', 'gpt-5.6-sol', 'gpt-5.6-terra', 'gpt-5.6-luna', 'gpt-5.4', 'gpt-5.4-2026-03-05', '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',
  13. · Enlaces de referencia · OpenAI · Model release notes
    Fragmento
    GPT‑5.4 Thinking also has improved context window management that supports its ability to think for longer
  14. · Enlaces de referencia · OpenAI · Codex changelog
    Fragmento
    Introducing GPT-5.4 in Codex GPT-5.4 is now available in Codex as OpenAI's most capable and efficient frontier model for professional work
  15. · Enlaces de referencia · OpenAI · ChatGPT release notes
    Fragmento
    GPT‑5.4 Thinking also has improved context window management that supports its ability to think for longer
  16. · Enlaces de referencia · GitHub · openai/codex · PR
    Fragmento
    #44930 Embed friendly instructions in bundled GPT-5.4 and GPT-5.5
  17. · Publicaciones de Alex · Alex Getman
    Fragmento
    Using GPT 5.6 Luna Max, you get the power of March’s flagship GPT 5.4 xhigh for one thirteenth of its price.

Señales 2

Especificaciones

GPT-5.4 es un modelo de OpenAI, lanzado el 2026-03-05. La ventana de contexto es de 1.050.000 tokens. El máximo de salida es de 128.000 tokens.

Ventana de contexto
1.050.000
Salida máxima
128.000
Entrada
texto · imagen
Salida
texto

Preguntas

¿Cuál es la ventana de contexto de GPT-5.4?

La ventana de contexto es de 1.050.000 tokens. El máximo de salida es de 128.000 tokens.

¿Cuándo se lanzó GPT-5.4?

El 2026-03-05.