Alex Getmantidlige AI-signaler

GPT-5.4

OpenAI

Lanceret Opdateret
Kontekstvindue
1M
1.050.000 tokens
Maksimal outputlængde
128K
128.000 tokens
Input / Output
tekst, billede → tekst

Tidslinje

  1. · Tilgængelighed via API · kildelink · kildelink · kildelink
  2. · Produktopdatering · kildelink
Pris for input / output · USD / 1 mio. tokens
ModelKildelinksPris for input / output
gpt-5.4
batch · long context
openai
API-rute er ikke tilgængelig
$2,50 (Input > 272.000 tokens) / $11,25 (Input > 272.000 tokens)
gpt-5.4
batch · short context
openai
API-rute er ikke tilgængelig
$1,25 (Input ≤ 272.000 tokens) / $7,50 (Input ≤ 272.000 tokens)
gpt-5.4
fast · short context
openai
API-rute er ikke tilgængelig
$5,00 (Input ≤ 272.000 tokens) / $30,00 (Input ≤ 272.000 tokens)
gpt-5.4
flex · long context
openai
API-rute er ikke tilgængelig
$2,50 (Input > 272.000 tokens) / $11,25 (Input > 272.000 tokens)
gpt-5.4
flex · short context
openai
API-rute er ikke tilgængelig
$1,25 (Input ≤ 272.000 tokens) / $7,50 (Input ≤ 272.000 tokens)
gpt-5.4
standard · long context
openai
API-rute er ikke tilgængelig
$5,00 (Input > 272.000 tokens) / $22,50 (Input > 272.000 tokens)
gpt-5.4
standard · short context
openai
API-rute er ikke tilgængelig
$2,50 (Input ≤ 272.000 tokens) / $15,00 (Input ≤ 272.000 tokens)
  1. · Kildelinks · OpenAI · official articles
  2. · Bekræftet brug · OpenAI · official articles · Introducing GPT-5.4
  3. · Kildelinks · OpenAI · official articles
    Uddrag
    GPT‑5.4 was tested with a longer, updated blocklist
  4. · Kildelinks · OpenAI · official articles
    Uddrag
    GPT‑5.4 could not
  5. · Katalogpost · GitHub · openai/openai-node · code
    Uddrag
    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. · Katalogpost · GitHub · openai/codex · code
    Uddrag
    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. · Katalogpost · GitHub · openai/openai-agents-python · code
    Uddrag
    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. · Katalogpost · GitHub · openai/codex · code
    Uddrag
    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

    Denne henvisning i koden bekræfter ikke en modelidentifikator i brug.

  9. · Katalogpost · GitHub · openai/codex · code
    Uddrag
    , ) .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"), ("

    Denne henvisning i koden bekræfter ikke en modelidentifikator i brug.

  10. · Katalogpost · GitHub · openai/openai-agents-python · code
    Uddrag
    , 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

    Denne henvisning i koden bekræfter ikke en modelidentifikator i brug.

  11. · Katalogpost · GitHub · openai/openai-python · code
    Uddrag
    -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. · Katalogpost · GitHub · openai/openai-agents-js · code
    Uddrag
    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. · Kildelinks · OpenAI · Model release notes
    Uddrag
    GPT‑5.4 Thinking also has improved context window management that supports its ability to think for longer
  14. · Kildelinks · OpenAI · Codex changelog
    Uddrag
    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. · Kildelinks · OpenAI · ChatGPT release notes
    Uddrag
    GPT‑5.4 Thinking also has improved context window management that supports its ability to think for longer
  16. · Kildelinks · GitHub · openai/codex · PR
    Uddrag
    #44930 Embed friendly instructions in bundled GPT-5.4 and GPT-5.5
  17. · Alex' indlæg · Alex Getman
    Uddrag
    Using GPT 5.6 Luna Max, you get the power of March’s flagship GPT 5.4 xhigh for one thirteenth of its price.

Signaler 2

Specifikationer

GPT-5.4 er en model fra OpenAI, lanceret den 2026-03-05. Kontekstvinduet er 1.050.000 tokens. Den maksimale outputlængde er 128.000 tokens.

Kontekstvindue
1.050.000
Maksimal outputlængde
128.000
Input
tekst · billede
Output
tekst

Spørgsmål

Hvor stort er kontekstvinduet for GPT-5.4?

Kontekstvinduet er 1.050.000 tokens. Den maksimale outputlængde er 128.000 tokens.

Hvornår blev GPT-5.4 lanceret?

Den 2026-03-05.