Alex Getmantidlige AI-signaler

GPT-6 Sol

OpenAI

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

API-priser

USD / 1 mio. tokens

InputOutputCachelagret input
  • $2,00
openrouter
  • $10,00
openrouter
  • $0,20
openrouter

Tidslinje

  1. · Tilgængelighed via API · kildelink · kildelink
  2. · Tilgængelighed via API · kildelink
  3. · Produktopdatering · kildelink · kildelink
Pris for input / output · USD / 1 mio. tokens
ModelKildelinksPris for input / output
gpt-6-sol
batch · long context
openai
API-rute er ikke tilgængelig
$2,00 (Input > 272.000 tokens) / $7,50 (Input > 272.000 tokens)
gpt-6-sol
batch · short context
openai
API-rute er ikke tilgængelig
$1,00 (Input ≤ 272.000 tokens) / $5,00 (Input ≤ 272.000 tokens)
gpt-6-sol
fast · long context
openai
API-rute er ikke tilgængelig
$8,00 (Input > 272.000 tokens) / $30,00 (Input > 272.000 tokens)
gpt-6-sol
fast · short context
openai
API-rute er ikke tilgængelig
$4,00 (Input ≤ 272.000 tokens) / $20,00 (Input ≤ 272.000 tokens)
gpt-6-sol
flex · long context
openai
API-rute er ikke tilgængelig
$2,00 (Input > 272.000 tokens) / $7,50 (Input > 272.000 tokens)
gpt-6-sol
flex · short context
openai
API-rute er ikke tilgængelig
$1,00 (Input ≤ 272.000 tokens) / $5,00 (Input ≤ 272.000 tokens)
gpt-6-sol
standard · long context
openai
API-rute er ikke tilgængelig
$4,00 (Input > 272.000 tokens) / $15,00 (Input > 272.000 tokens)
gpt-6-sol
standard · short context
openai
API-rute er ikke tilgængelig
$2,00 (Input ≤ 272.000 tokens) / $10,00 (Input ≤ 272.000 tokens)
openai/gpt-6-sol-pro
standard
openrouter$2,00 / $10,00
openai/gpt-6-sol-pro:batch
batch
openrouter$1,00 / $5,00
  1. · Bekræftet brug · OpenAI · official articles · Introducing GPT-6 Sol and Luna
  2. · Kildelinks · OpenAI · official articles
  3. · Katalogpost · GitHub · openai/openai-node · code
    Uddrag
    -1106": Announced shutdown date: 2026-09-28. See * https://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-20
  4. · Katalogpost · GitHub · openai/openai-agents-python · code
    Uddrag
    These models require non-reasoning mode for Chat Completions function tools. # Keep Responses defaults and caller-provided effort overrides unchanged. if ( reasoning_effort is None and self.model in {"gpt-6-sol", "gpt-6-luna"} and converted_tools and "reasoning_effort" not in (model_settings.extra_args or {}) ): reasoning_effort = "none" store = ChatCmplHelpers.get_store_param(self._get_client(), model_settings) stream_options = ChatCmplHelpers.get_stream_options_param( self._get_client(), model_settings, stream=stream ) stream_param: Literal[True] | Omit = True if stream else omit create_kwargs: dict[str, Any] = { "model": self.model, "messages": converted_messages, "tools": tools_param, "temp
  5. · Katalogpost · GitHub · openai/codex · code
    Uddrag
    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_1_SOL_MODEL_ID, "GPT-6.1 Sol", /*priority*/ 0, ), bedrock_model( bundled_openai_model(GPT_6_ASTRA_OPENAI_MODEL_ID), AMAZON_BEDROCK_GPT_6_ASTRA
  6. · Katalogpost · GitHub · openai/openai-agents-python · code
    Uddrag
    """Select a model before the run. Requires openai>=3.26.0.""" from __future__ import annotations import asyncio from openai import AsyncOpenAI from agents import Agent, Runner MODELS = {"fast": "gpt-6-luna", "powerful": "gpt-6-sol"} async def choose_model(client: AsyncOpenAI, request: str) -> str: decision = await client.decisions.create( model="gpt-6-luna", input=request, questions=[ { "type": "choice", "name": "route", "instructions": "Which model is appropriate for this request?", "choices": [ {"value": "fast", "description": "Simple questions and short summaries."}, { "value": "powerful", "description": "Complex reasoning and detailed analysis.",

    Denne henvisning i koden bekræfter ikke en modelidentifikator i brug.

  7. · Katalogpost · GitHub · openai/openai-python · code
    Uddrag
    h a maximum length of 64 characters. Values are strings with a maximum length 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",
  8. · Katalogpost · GitHub · openai/openai-agents-js · code
    Uddrag
    = withoutProviderPrefix.toLowerCase(); const withoutPinnedDate = normalized.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',
  9. · Kildelinks · GitHub · openai/codex · PR
    Uddrag
    #49369 Update Bedrock GPT-6 Sol catalog tests to expect multi-agent V2
  10. · Alex' indlæg · Alex Getman
    Uddrag
    🚨 Sonnet 5.5 Max beats GPT-6 Astra Max on the Intelligence Index vs. cost curve A few other things stand out: 1. At medium, GPT-6 Sol is much cheaper than Sonnet 5.5 at a fairly similar intelligence level. 2. Around the Pareto line, GPT-6 Sol Max and Sonnet 5.5 High are basically neck and neck. 3. GPT-6 Astra Max lands roughly around Sonnet 5.5 XHigh. + Sonnet 5.5 Max is in a league of its own at the top.
  11. · Alex' indlæg · Alex Getman
    Uddrag
    🚨 Sonnet 5.5 ranks #2 on the Artificial Analysis Intelligence Index, ahead of Fable 5.1. It also beats GPT-6 Sol by 8 points.
  12. · Alex' indlæg · Alex Getman
    Uddrag
    🚨 Sonnet 5.5 benchmarks are out It crushes Sonnet 5, goes toe-to-toe with Opus 5.5, and beats GPT-6 Sol across most shared benchmarks.
  13. · Kildelinks · OpenAI · ChatGPT release notes
    Uddrag
    We’re introducing GPT-6 Sol and GPT-6 Luna in ChatGPT Work and Codex
  14. · Kildelinks · GitHub · openai/codex · PR
    Uddrag
    #47347 Add GPT-6 Sol and Luna to Amazon Bedrock catalogs
  15. · Alex' indlæg · Alex Getman
    Uddrag
    GPT-6 Sol and Luna both get around 40–50% more usage on subscriptions. Probably the biggest OpenAI update of the day.
  16. · Alex' indlæg · Alex Getman
    Uddrag
    GPT-6 Sol and Luna are basically just minor releases
  17. · Kildelinks · GitHub · openai/codex · PR
    Uddrag
    #47332 Add GPT-6 Sol and Luna to the model catalog
  18. · Alex' indlæg · Alex Getman
    Uddrag
    GPT-6 Sol and Luna pricing is here. And Luna is practically free.
  19. · Alex' indlæg · Alex Getman
    Uddrag
    🚨 GPT-6 Sol and Luna ARE OUT!
  20. · Katalogpost · OpenAI API
  21. · Alex' indlæg · Alex Getman
    Uddrag
    🚨 GPT-6 Sol and Luna are rolling out right now!
  22. · Alex' indlæg · Alex Getman
    Uddrag
    Tibo hinted that a big ship is happening today. My guess is GPT-6 Sol, and we’ll probably get a Codex reset too.
  23. · Alex' indlæg · Alex Getman
    Uddrag
    GPT 6 Sol and Luna could launch this week Terra may be gone for good. The model never found enough demand or a clear price point. Sol could get a bit cheaper, while Luna could move up in price and performance to fill the gap.

    Prognosens tidspunkt holdt ikke; bevaret som tidlig omtale, ikke som korrekt forudsigelse.

  24. · Alex' indlæg · Alex Getman
    Uddrag
    🚨 GPT-6 Sol is already being tested internally There is a good chance it drops on DevDay, Sep 29. Tibo said Astra pulled some OpenAI releases forward by six months. Sol feels like the obvious candidate. GPT-6 Luna could show up too.

Kildelinks

Signaler 1

OpenAILanceret

GPT-6 Sol

Bekræftet15 kildelinks
Specifikationer

GPT-6 Sol er en model fra OpenAI, lanceret den 2026-09-22. Kontekstvinduet er 1.050.000 tokens. Den maksimale outputlængde er 128.000 tokens. Prisen er $2,00 pr. million inputtokens og $10,00 pr. million outputtokens.

Kontekstvindue
1.050.000
Maksimal outputlængde
128.000
Input
tekst · billede
Output
tekst
Input · USD / 1 mio. tokens
$2,00
Output · USD / 1 mio. tokens
$10,00
Cachelagret input · USD / 1 mio. tokens
$0,20

Spørgsmål

Hvor stort er kontekstvinduet for GPT-6 Sol?

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

Hvad koster GPT-6 Sol?

Prisen er $2,00 pr. million inputtokens og $10,00 pr. million outputtokens. Cachelagret input koster $0,20 pr. million tokens.

Hvornår blev GPT-6 Sol lanceret?

Den 2026-09-22.