Alex GetmanTidlige KI-signaler

GPT-5.4

OpenAI

Lansert Oppdatert
Kontekstvindu
1M
1 050 000 tokener
Maksimal utdatalengde
128K
128 000 tokener
Inndata / Utdata
tekst, bilde → tekst

Tidslinje

  1. · Tilgjengelig via API · dokumentasjonslenke · dokumentasjonslenke · dokumentasjonslenke
  2. · Produktoppdatering · dokumentasjonslenke
Pris for inndata / utdata · USD / 1 mill. tokener
ModellDokumentasjonslenkerPris for inndata / utdata
gpt-5.4
batch · long context
openai
API-ruten er ikke tilgjengelig
$2,50 (Inndata > 272 000 tokener) / $11,25 (Inndata > 272 000 tokener)
gpt-5.4
batch · short context
openai
API-ruten er ikke tilgjengelig
$1,25 (Inndata ≤ 272 000 tokener) / $7,50 (Inndata ≤ 272 000 tokener)
gpt-5.4
fast · short context
openai
API-ruten er ikke tilgjengelig
$5,00 (Inndata ≤ 272 000 tokener) / $30,00 (Inndata ≤ 272 000 tokener)
gpt-5.4
flex · long context
openai
API-ruten er ikke tilgjengelig
$2,50 (Inndata > 272 000 tokener) / $11,25 (Inndata > 272 000 tokener)
gpt-5.4
flex · short context
openai
API-ruten er ikke tilgjengelig
$1,25 (Inndata ≤ 272 000 tokener) / $7,50 (Inndata ≤ 272 000 tokener)
gpt-5.4
standard · long context
openai
API-ruten er ikke tilgjengelig
$5,00 (Inndata > 272 000 tokener) / $22,50 (Inndata > 272 000 tokener)
gpt-5.4
standard · short context
openai
API-ruten er ikke tilgjengelig
$2,50 (Inndata ≤ 272 000 tokener) / $15,00 (Inndata ≤ 272 000 tokener)
  1. · Dokumentasjonslenker · OpenAI · official articles
  2. · Bekreftet bruk · OpenAI · official articles · Introducing GPT-5.4
  3. · Dokumentasjonslenker · OpenAI · official articles
    Utdrag
    GPT‑5.4 was tested with a longer, updated blocklist
  4. · Dokumentasjonslenker · OpenAI · official articles
    Utdrag
    GPT‑5.4 could not
  5. · Oppføring i katalog · GitHub · openai/openai-node · code
    Utdrag
    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. · Oppføring i katalog · GitHub · openai/codex · code
    Utdrag
    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. · Oppføring i katalog · GitHub · openai/openai-agents-python · code
    Utdrag
    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. · Oppføring i katalog · GitHub · openai/codex · code
    Utdrag
    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 referansen i koden bekrefter ikke en modellidentifikator i bruk.

  9. · Oppføring i katalog · GitHub · openai/codex · code
    Utdrag
    , ) .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 referansen i koden bekrefter ikke en modellidentifikator i bruk.

  10. · Oppføring i katalog · GitHub · openai/openai-agents-python · code
    Utdrag
    , 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 referansen i koden bekrefter ikke en modellidentifikator i bruk.

  11. · Oppføring i katalog · GitHub · openai/openai-python · code
    Utdrag
    -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. · Oppføring i katalog · GitHub · openai/openai-agents-js · code
    Utdrag
    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. · Dokumentasjonslenker · OpenAI · Model release notes
    Utdrag
    GPT‑5.4 Thinking also has improved context window management that supports its ability to think for longer
  14. · Dokumentasjonslenker · OpenAI · Codex changelog
    Utdrag
    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. · Dokumentasjonslenker · OpenAI · ChatGPT release notes
    Utdrag
    GPT‑5.4 Thinking also has improved context window management that supports its ability to think for longer
  16. · Dokumentasjonslenker · GitHub · openai/codex · PR
    Utdrag
    #44930 Embed friendly instructions in bundled GPT-5.4 and GPT-5.5
  17. · Alex' innlegg · Alex Getman
    Utdrag
    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

Spesifikasjoner

GPT-5.4 er en modell fra OpenAI, lansert 2026-03-05. Kontekstvinduet er 1 050 000 tokener. Maksimal utdatalengde er 128 000 tokener.

Kontekstvindu
1 050 000
Maksimal utdatalengde
128 000
Inndata
tekst · bilde
Utdata
tekst

Spørsmål

Hvor stort er kontekstvinduet til GPT-5.4?

Kontekstvinduet er 1 050 000 tokener. Maksimal utdatalengde er 128 000 tokener.

Når ble GPT-5.4 lansert?

Den 2026-03-05.