Alex Getmanseñales tempranas de IA

GPT-6.1 Sol

OpenAI

Lanzado Actualizado
Ventana de contexto
1M
1.050.000 tokens
Salida máxima
128K
128.000 tokens
Entrada / Salida
texto, imagen → texto

Precios de API

USD / 1 millón de tokens

EntradaSalidaEntrada en caché
  • $2,00
openrouter
  • $10,00
openrouter
  • $0,10
openrouter

Cronología

  1. · Disponibilidad en API · enlace de referencia · enlace de referencia
  2. · Disponibilidad en API · enlace de referencia
  3. · Actualización de producto · enlace de referencia
Precio entrada/salida · USD / 1 millón de tokens
ModeloEnlaces de referenciaPrecio entrada/salida
gpt-6.1-sol
batch · long context
openai
Ruta de API no disponible
$2,00 (Entrada > 272.000 tokens) / $7,50 (Entrada > 272.000 tokens)
gpt-6.1-sol
batch · short context
openai
Ruta de API no disponible
$1,00 (Entrada ≤ 272.000 tokens) / $5,00 (Entrada ≤ 272.000 tokens)
gpt-6.1-sol
fast · long context
openai
Ruta de API no disponible
$8,00 (Entrada > 272.000 tokens) / $30,00 (Entrada > 272.000 tokens)
gpt-6.1-sol
fast · short context
openai
Ruta de API no disponible
$4,00 (Entrada ≤ 272.000 tokens) / $20,00 (Entrada ≤ 272.000 tokens)
gpt-6.1-sol
flex · long context
openai
Ruta de API no disponible
$2,00 (Entrada > 272.000 tokens) / $7,50 (Entrada > 272.000 tokens)
gpt-6.1-sol
flex · short context
openai
Ruta de API no disponible
$1,00 (Entrada ≤ 272.000 tokens) / $5,00 (Entrada ≤ 272.000 tokens)
gpt-6.1-sol
standard · long context
openai
Ruta de API no disponible
$4,00 (Entrada > 272.000 tokens) / $15,00 (Entrada > 272.000 tokens)
gpt-6.1-sol
standard · short context
openai
Ruta de API no disponible
$2,00 (Entrada ≤ 272.000 tokens) / $10,00 (Entrada ≤ 272.000 tokens)
gpt-6.1-sol
ultrafast · long context
openai
Ruta de API no disponible
$24,00 (Entrada > 272.000 tokens) / $90,00 (Entrada > 272.000 tokens)
gpt-6.1-sol
ultrafast · short context
openai
Ruta de API no disponible
$12,00 (Entrada ≤ 272.000 tokens) / $60,00 (Entrada ≤ 272.000 tokens)
openai/gpt-6.1-sol-pro
standard
openrouter$2,00 / $10,00
openai/gpt-6.1-sol-pro:batch
batch
openrouter$1,00 / $5,00
  1. · Uso confirmado · OpenAI · official articles · How Third Moment Research runs 10,000 agents for 36+ hours
  2. · Enlaces de referencia · OpenAI · official articles
    Fragmento
    Uber will benefit from models like GPT‑6.1 Sol⁠ which will be deployed as the default capability within ChatGPT Work, balancing frontier performance and cost efficiency
  3. · Uso confirmado · OpenAI · official articles · GPT-6.1 Sol helps CodeRabbit strengthen security across complex codebases
    Fragmento
    CodeRabbit reports using GPT‑6.1 Sol to flag security-related issues across thousands of repositories and organizations
  4. · Uso confirmado · OpenAI · official articles · DevRev delivers autonomous self-service with GPT-6.1 Sol
  5. · Enlaces de referencia · OpenAI · official articles
    Fragmento
    GPT-6.1 Sol is available starting today to all Plus, Pro, Business, Enterprise, and Edu users in ChatGPT Work and Codex
  6. · Entrada de catálogo · GitHub · openai/openai-node · code
    Fragmento
    mended replacements. * - "gpt-3.5-turbo-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
  7. · Uso confirmado · OpenAI · official articles · Cogent and OpenAI build cyber defense factories for enterprises
  8. · Entrada de catálogo · GitHub · openai/codex · code
    Fragmento
    o"), AuthCredentialsStoreMode::File, )?; let config = load_default_config_for_test(&codex_home).await; let models = [MODEL, "gpt-5.6-luna", "gpt-6.1-sol"] .into_iter() .map(|slug| { let mut info = codex_core::test_support::construct_model_info_offline(slug, &config); if slug == MODEL { info.auto_review_model_override = Some("gpt-6.1-sol".to_owned()); } info }) .collect();

    Esta referencia en el código no confirma un identificador de modelo en uso.

  9. · Entrada de catálogo · GitHub · openai/codex · code
    Fragmento
    NDOW: 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_1_SOL_MODEL_ID, "GPT-6.1 Sol", /*priority*/ 0, ), bedrock_mo
  10. · Entrada de catálogo · GitHub · openai/openai-agents-python · code
    Fragmento
    "direct", "function", ModelSettings(extra_body={"reasoning_effort": "low"}), False, "low", ), ("gpt-6-sol", "string", "none", ModelSettings(), False, None), ("gpt-6.1-sol", "string", "function", ModelSettings(), False, None), ("gpt-6-astra", "string", "function", ModelSettings(), False, None), ("gpt-6-sol-unknown", "string", "function", ModelSettings(), False, None), ("gpt-6-sol", "string", "function", ModelSettings(), True, None), ], ) @pytest.mark.parametrize("stream", [False, True]) async def test_gpt6_tool_request_defaults( name: str, entry: str, tools: str, settings: ModelSettings, responses: bool, expected: str | None, stream: bool, ) -> None: if responses and stream: pytest.skip("Responses preservation is covered by the non-s

    Esta referencia en el código no confirma un identificador de modelo en uso.

  11. · Entrada de catálogo · GitHub · openai/openai-python · code
    Fragmento
    ects via API or the dashboard. Keys are strings with 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",
  12. · Entrada de catálogo · GitHub · openai/openai-agents-js · code
    Fragmento
    rCase(); 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', 'gpt-5.4-mini', 'gpt-5.4-nano
  13. · Entrada de catálogo · Vertex AI · quotas
  14. · Enlaces de referencia · GitHub · openai/codex · PR
    Fragmento
    #51794 Advertise Ultrafast for GPT-6.1 Sol on Amazon Bedrock
  15. · Publicaciones de Alex · Alex Getman
    Fragmento
    I’m seeing a lot of negativity around OpenAI, so let’s separate the real issues from the noise. Since GPT-6.1 Sol came out, I’ve been using it nonstop. In terms of usage, it honestly feels almost like Luna. My limits barely move. I even run it at the Max reasoning level, and it’s still more than enough for the project I’m building. And that’s the main thing. For the most part, people got what they actually needed. As for the complaints about the $500 plan and the $200 limits, I completely agree with those. And the new Dots feature still isn’t available on my plan. Once it rolls out to me, I’ll definitely try it, although right now I don’t really see much potential in it.
  16. · Enlaces de referencia · GitHub · openai/codex · PR
    Fragmento
    #49342 [0.159] Backport GPT-6.1 Sol Bedrock catalogs
  17. · Enlaces de referencia · GitHub · openai/codex · PR
    Fragmento
    #49339 Add GPT-6.1 Sol to Bedrock catalogs and make it the default
  18. · Publicaciones de Alex · Alex Getman
    Fragmento
    GPT-6.1 Sol ranks 5th on the AA Intelligence Index Honestly, it feels like they just took Astra, cut the price, and called it Sol. Kind of a rushed rebrand after people roasted OpenAI, let’s be real. I genuinely don’t understand these model names anymore. We got Sol, but it feels like Astra. Before that we had Sol, but it was basically Terra. Anthropic shipped this supposedly incredible Fable, and now Opus is their strongest model. At this point it feels like they basically have two models: the strong one and the weaker one. Everything else is just some weird mix in between. Why make it this confusing?
  19. · Publicaciones de Alex · Alex Getman
    Fragmento
    OpenAI dropped a bunch of new stuff today. Here’s my quick take: 1. Dots Some kind of OpenClaw alternative, I guess. I didn’t even understand half of it and honestly I don’t care. 2. GPT-6.1 Sol Good. Actually good. Performance is almost at Astra level, but at Sol pricing. Pretty much exactly what we were waiting for, something that can finally put up at least some fight against Opus 5.5. 3. The new $500 plan with Ultra Fast I mostly don’t care about the plan itself, but I hate the fact that OpenAI were the first to push into the $500 subscription territory. Now Anthropic can easily follow. OpenAI basically paved the road for even more user tier discrimination. And the funniest part
  20. · Enlaces de referencia · GitHub · openai/codex · PR
    Fragmento
    #49318 Add GPT-6.1 Sol as the default catalog model
  21. · Entrada de catálogo · OpenAI API
  22. · Publicaciones de Alex · Alex Getman
    Fragmento
    🚨 GPT-6.1 Sol IS OUT!

Enlaces de referencia

Señales 6

OpenAILanzado

GPT-6.1 Sol

Con respaldo2 enlaces de referencia
Especificaciones

GPT-6.1 Sol es un modelo de OpenAI, lanzado el 2026-09-22. La ventana de contexto es de 1.050.000 tokens. El máximo de salida es de 128.000 tokens. El precio por millón de tokens es de $2,00 para la entrada y $10,00 para la salida.

Ventana de contexto
1.050.000
Salida máxima
128.000
Entrada
texto · imagen
Salida
texto
Entrada · USD / 1 millón de tokens
$2,00
Salida · USD / 1 millón de tokens
$10,00
Entrada en caché · USD / 1 millón de tokens
$0,10

Preguntas

¿Cuál es la ventana de contexto de GPT-6.1 Sol?

La ventana de contexto es de 1.050.000 tokens. El máximo de salida es de 128.000 tokens.

¿Cuánto cuesta GPT-6.1 Sol?

El precio por millón de tokens es de $2,00 para la entrada y $10,00 para la salida. La entrada en caché cuesta $0,10 por millón.

¿Cuándo se lanzó GPT-6.1 Sol?

El 2026-09-22.