Alex Getmanvroege AI-signalen

GPT-5.4

OpenAI

Uitgebracht Bijgewerkt
Contextvenster
1M
1.050.000 tokens
Maximale output
128K
128.000 tokens
Invoer / Uitvoer
tekst, afbeelding → tekst

Tijdlijn

  1. · Beschikbaarheid API · bronlink · bronlink · bronlink
  2. · Productupdate · bronlink
Prijs invoer / uitvoer · USD / 1 miljoen tokens
ModelBronlinksPrijs invoer / uitvoer
gpt-5.4
batch · long context
openai
API-route niet beschikbaar
$2,50 (Invoer > 272.000 tokens) / $11,25 (Invoer > 272.000 tokens)
gpt-5.4
batch · short context
openai
API-route niet beschikbaar
$1,25 (Invoer ≤ 272.000 tokens) / $7,50 (Invoer ≤ 272.000 tokens)
gpt-5.4
fast · short context
openai
API-route niet beschikbaar
$5,00 (Invoer ≤ 272.000 tokens) / $30,00 (Invoer ≤ 272.000 tokens)
gpt-5.4
flex · long context
openai
API-route niet beschikbaar
$2,50 (Invoer > 272.000 tokens) / $11,25 (Invoer > 272.000 tokens)
gpt-5.4
flex · short context
openai
API-route niet beschikbaar
$1,25 (Invoer ≤ 272.000 tokens) / $7,50 (Invoer ≤ 272.000 tokens)
gpt-5.4
standard · long context
openai
API-route niet beschikbaar
$5,00 (Invoer > 272.000 tokens) / $22,50 (Invoer > 272.000 tokens)
gpt-5.4
standard · short context
openai
API-route niet beschikbaar
$2,50 (Invoer ≤ 272.000 tokens) / $15,00 (Invoer ≤ 272.000 tokens)
  1. · Bronlinks · OpenAI · official articles
  2. · Bevestigd gebruik · OpenAI · official articles · Introducing GPT-5.4
  3. · Bronlinks · OpenAI · official articles
    Fragment
    GPT‑5.4 was tested with a longer, updated blocklist
  4. · Bronlinks · OpenAI · official articles
    Fragment
    GPT‑5.4 could not
  5. · Catalogusvermelding · GitHub · openai/openai-node · code
    Fragment
    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. · Catalogusvermelding · GitHub · openai/codex · code
    Fragment
    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. · Catalogusvermelding · GitHub · openai/openai-agents-python · code
    Fragment
    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. · Catalogusvermelding · GitHub · openai/codex · code
    Fragment
    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

    Deze codeverwijzing bevestigt geen modelidentificatie die daadwerkelijk wordt gebruikt.

  9. · Catalogusvermelding · GitHub · openai/codex · code
    Fragment
    , ) .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"), ("

    Deze codeverwijzing bevestigt geen modelidentificatie die daadwerkelijk wordt gebruikt.

  10. · Catalogusvermelding · GitHub · openai/openai-agents-python · code
    Fragment
    , 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

    Deze codeverwijzing bevestigt geen modelidentificatie die daadwerkelijk wordt gebruikt.

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

Signalen 2

Specificaties

GPT-5.4 is een AI-model van OpenAI, uitgebracht op 2026-03-05. Het contextvenster is 1.050.000 tokens. De maximale uitvoer is 128.000 tokens.

Contextvenster
1.050.000
Maximale output
128.000
Invoer
tekst · afbeelding
Uitvoer
tekst

Vragen

Wat is het contextvenster van GPT-5.4?

Het contextvenster is 1.050.000 tokens. De maximale uitvoer is 128.000 tokens.

Wanneer werd GPT-5.4 uitgebracht?

2026-03-05.