Alex Getmanrané signály AI

GPT-5.6 Terra

OpenAI

Vydáno Aktualizováno
Kontextové okno
1M
1 050 000 tokenů
Maximální délka odpovědi
128K
128 000 tokenů
Vstup / Výstup
text, obrázek → text

Ceny API

USD / 1 milion tokenů

VstupVýstupVstup v mezipaměti
  • $2,00
openrouter
  • $12,00
openrouter
  • $0,20
openrouter

Časová osa

  1. · Dostupnost API · zdrojový odkaz
Cena vstupu / výstupu · USD / 1 milion tokenů
ModelZdrojové odkazyCena vstupu / výstupu
gpt-5.6-terra
batch · long context
openai
Trasa API není dostupná
$2,00 (Vstup > 272 000 tokenů) / $9,00 (Vstup > 272 000 tokenů)
gpt-5.6-terra
batch · short context
openai
Trasa API není dostupná
$1,00 (Vstup ≤ 272 000 tokenů) / $6,00 (Vstup ≤ 272 000 tokenů)
gpt-5.6-terra
fast · long context
openai
Trasa API není dostupná
$8,00 (Vstup > 272 000 tokenů) / $36,00 (Vstup > 272 000 tokenů)
gpt-5.6-terra
fast · short context
openai
Trasa API není dostupná
$4,00 (Vstup ≤ 272 000 tokenů) / $24,00 (Vstup ≤ 272 000 tokenů)
gpt-5.6-terra
flex · long context
openai
Trasa API není dostupná
$2,00 (Vstup > 272 000 tokenů) / $9,00 (Vstup > 272 000 tokenů)
gpt-5.6-terra
flex · short context
openai
Trasa API není dostupná
$1,00 (Vstup ≤ 272 000 tokenů) / $6,00 (Vstup ≤ 272 000 tokenů)
gpt-5.6-terra
standard · long context
openai
Trasa API není dostupná
$4,00 (Vstup > 272 000 tokenů) / $18,00 (Vstup > 272 000 tokenů)
gpt-5.6-terra
standard · short context
openai
Trasa API není dostupná
$2,00 (Vstup ≤ 272 000 tokenů) / $12,00 (Vstup ≤ 272 000 tokenů)
openai/gpt-5.6-terra-pro
standard
openrouter$2,00 / $12,00
openai/gpt-5.6-terra-pro:batch
batch
openrouter$1,00 / $6,00
  1. · Potvrzené použití · OpenAI · official articles · Retell uses OpenAI models to help power 100M monthly calls
    Úryvek
    After a call, Retell uses GPT‑5.6 Terra to analyze the transcript and extract outcomes and other data
  2. · Potvrzené použití · OpenAI · official articles · How we detect frontier model misalignment
  3. · Katalogový výpis · GitHub · openai/openai-node · code
    Úryvek
    ttps://developers.openai.com/api/docs/deprecations for details and * recommended 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' | 'gp
  4. · Katalogový výpis · GitHub · openai/codex · code
    Úryvek
    cfg = ConfigToml { agents: Some(AgentsToml { enabled: Some(false), max_depth: Some(2), default_subagent_model: Some("gpt-5.6-terra".to_string()), default_subagent_reasoning_effort: Some(ReasoningEffort::High), interrupt_message: Some(false), ..Default::default() }), ..Default::default() }; let config = Config::load_from_base_config_with_overrides( cfg, ConfigOverrides::d

    Tato zmínka v kódu nepotvrzuje používaný identifikátor modelu.

  5. · Katalogový výpis · GitHub · openai/codex · code
    Úryvek
    se; use codex_protocol::openai_models::WebSearchToolType; use super::BedrockEndpoint; const GPT_5_BEDROCK_CONTEXT_WINDOW: i64 = 272_000; const GPT_5_6_SOL_OPENAI_MODEL_ID: &str = "gpt-5.6-sol"; const GPT_5_6_TERRA_OPENAI_MODEL_ID: &str = "gpt-5.6-terra"; const GPT_5_6_LUNA_OPENAI_MODEL_ID: &str = "gpt-5.6-luna"; const GPT_6_1_SOL_OPENAI_MODEL_ID: &str = "gpt-6.1-sol"; const GPT_6_1_TERRA_OPENAI_MODEL_ID: &str = "gpt-6.1-terra"; const GPT_6_SOL_OPENAI_MODEL_ID: &str = "gpt-6-sol"; const GPT_6_LUNA_OPENAI_MODEL_ID: &str = "gpt-6-luna"; const GPT_6_ASTRA_OPENAI_MODEL_ID: &str = "gpt-6-astra"; const GPT_5_5_OPENAI_MODEL_ID: &str = "gpt-5.5"; pub(crate) fn static_model_catalog() -> ModelsResponse { let catalog = ModelsResponse { models: vec![ bedrock_model( bundled_openai_model(GPT_6_1_SOL_OPENAI_MODEL_ID), AMAZON_BEDROCK_GPT_6_
  6. · Katalogový výpis · GitHub · openai/openai-agents-python · code
    Úryvek
    "gpt-5.4-pro", "gpt-5.4-pro-2026-03-05", "gpt-5.5", "gpt-5.5-2026-04-23", "gpt-5.5-pro", "gpt-5.5-pro-2026-04-23", "gpt-5.6", "gpt-5.6-sol", "gpt-5.6-terra", "gpt-5.6-luna", "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", ), 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-
  7. · Katalogový výpis · GitHub · openai/openai-python · code
    Úryvek
    gth of 512 characters. """ model: Union[ Literal[ "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",
  8. · Katalogový výpis · GitHub · openai/openai-agents-js · code
    Úryvek
    .replace(/-\d{4}-\d{2}-\d{2}$/u, ''); 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
  9. · Příspěvky uživatele Alex · Alex Getman
    Úryvek
    Jev is out, a new AI model from startup TypeSafe AI It is built for fast decision making inside apps. You give it context and possible actions, and it picks the best option with probability and confidence. TypeSafe says Jev reaches GPT 5.6 Terra level on these tasks, responds in 70 to 500ms, and costs $0.042 per 1M input tokens. Output is free. It can route support tickets, score risk, and check AI agent actions.
  10. · Příspěvky uživatele Alex · Alex Getman
    Úryvek
    🚨 Google released Gemini 3.8 Flash • still $0.75 per 1M input tokens • at the same price, it is noticeably stronger than Gemini 3.7 Flash across almost the entire table • especially big gains in autonomous computer use and complex scientific tasks • beats GPT 5.6 Terra, a model in the same class, on almost every benchmark
  11. · Příspěvky uživatele Alex · Alex Getman
    Úryvek
    ⚡️ Qwen 3.8 27B beat GPT 5.6 Terra This happened in the AA Agentic Index, a benchmark that tests how well models handle agentic tasks. And you can run Qwen 3.8 27B locally on a single RTX 3090.
  12. · Příspěvky uživatele Alex · Alex Getman
    Úryvek
    Very few people know this, but Muse Spark 1.2 might be the best value model on the market right now. Its intelligence is around GPT-5.6 Terra. But if you use Muse Code and agree to code analysis through the Contributor tier, the price drops 10–20x. So you basically get Terra-level intelligence at Luna-level cost.
  13. · Příspěvky uživatele Alex · Alex Getman
    Úryvek
    ⚡️ Alibaba released Qwen 3.8 Max The new 2.4T parameter flagship benchmarks in the same league as GPT-5.6 Sol, Claude Opus 4.8 and Fable 5. API pricing is $2/M input and $6/M output, roughly half the cost of GPT-5.6 Terra and Claude Sonnet. Now it’s up to users to see whether Qwen can beat DeepSeek-V4-Flash and GPT-5.6 Luna on price to performance.
  14. · Příspěvky uživatele Alex · Alex Getman
    Úryvek
    ⚡️ RELEASE: KIMI K3 Moonshot just dropped its new flagship: 2.8T parameters, a 1M-token context window, native vision, and a focus on large projects, coding, games, and 3D. Full weights are expected in the next few days. API: $3 / $15 per million input/output tokens. Pricing-wise, that puts it around Sonnet 5 or GPT-5.6 Terra, while Moonshot’s own benchmarks have it taking shots at Opus 4.8 and Sol. So basically: Opus-class performance at Sonnet pricing. You can already try it for free on the Kimi website or through Kimi Code CLI.
  15. · Příspěvky uživatele Alex · Alex Getman
    Úryvek
    Grok 4.5: a new competitor to GPT and Claude Posting this a little late, but I prepared something interesting. Grok 4.5 is temporarily available to test for free in Grok Build and Cursor. The model runs at around 80 tokens per second, supports a context window of up to 500,000 tokens, and costs $2 per million input tokens and $6 per million output tokens. According to Musk, Grok 4.5 was trained from scratch on SpaceXAI’s own foundation and is not built on top of Kimi like Composer. In terms of quality, Grok 4.5 comes close to GPT-5.6 Terra, while its pricing is closer to Luna. Among Anthropic models, it sits between Haiku and Sonnet, making it especially attractive in terms of price-to-pe

Signály 2

Specifikace

GPT-5.6 Terra je AI model od OpenAI, vydaný 2026-07-09. Kontextové okno má velikost 1 050 000 tokenů. Maximální délka výstupu je 128 000 tokenů. Cena za milion tokenů je $2,00 pro vstup a $12,00 pro výstup.

Kontextové okno
1 050 000
Maximální délka odpovědi
128 000
Vstup
text · obrázek
Výstup
text
Vstup · USD / 1 milion tokenů
$2,00
Výstup · USD / 1 milion tokenů
$12,00
Vstup v mezipaměti · USD / 1 milion tokenů
$0,20

Otázky

Jaké je kontextové okno GPT-5.6 Terra?

Kontextové okno má velikost 1 050 000 tokenů. Maximální délka výstupu je 128 000 tokenů.

Kolik stojí GPT-5.6 Terra?

Cena za milion tokenů je $2,00 pro vstup a $12,00 pro výstup. Vstup z mezipaměti stojí $0,20 za milion tokenů.

Kdy byl vydán GPT-5.6 Terra?

2026-07-09.