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GPT 6.1 Sol Review: 1M Context, Five Effort Levels, Tool Calls

Pick GPT 6.1 Sol for hard coding and analysis that needs a million-token window and a real reasoning dial; so far we have run only launch checks.

Spicy Index

81,2/ 100

Preliminar

Freedom Score

Aún sin probar

Precio
4,00 US$ por 1 M de tokens mixtos (3 de entrada : 1 de salida)
Velocidad de salida
26 tok/s
Tasa de éxito
Recopilando datos

GPT 6.1 Sol is the larger of OpenAI's two GPT 6.1 models, released on 29 September 2026. OpenAI positions it for complex coding, computer use and professional work, and describes it as near-Astra performance at a lower cost. On our API it is one OpenAI-compatible chat endpoint that takes text and images and returns text, with a 1,050,000-token window and replies up to 128,000 tokens.

The verdict

This is a launch-day review. On 28 October 2026 our platform ran a real request through the endpoint as part of launch: one neutral message, answered without streaming at low reasoning effort. It returned a complete answer. We have not run a quality blind test, a long-document test or a content-level test, and this page does not score the model; where a result is missing we say so below.

Choose Sol when a task is hard enough that a missed detail is expensive: a bug that crosses several files, an analysis with many moving parts, an agent that is allowed to change things. For routine traffic, the cheaper GPT 6.1 Terra shares the same window and reply ceiling.

Try GPT 6.1 Sol →

Key facts

  • Tested: one real launch request on 28 Oct 2026 (neutral prompt, low reasoning effort, no streaming). No scored runs yet.
  • Price: $2 per million input tokens, $0.10 cached and $10 output; prompts over 272,000 tokens are billed on a higher tier for the whole request. The live price is on the model page.
  • Limits: 1,050,000-token context, replies up to 128,000 tokens (default 4,096, reasoning included), text and image input, 256 messages and 128 tool definitions per request.
  • Reasoning: reasoning_effort takes low, medium, high, xhigh or max (default medium); there is no none.
  • Sources: scoring rules are on our review methodology page, full parameters on the GPT 6.1 Sol model page.

Lo que nos gustó y lo que lo frenó

Lo que nos gustó

  • A million-token window with a 128,000-token reply ceiling. A repository, a specification and the question fit in one request, and a long answer comes back in one piece.
  • Five effort levels on one field. Low for quick passes, max for cases that justify the tokens, and the switch is one string on the same request body.
  • Tool calling is on the endpoint. Up to 128 function definitions per request, with toolchoice and paralleltool_calls accepted; we have not graded tool-use quality yet.
  • Sampling stays adjustable. temperature (0 to 2), top_p and up to four stop sequences are available.
  • Same request shape as Terra. Moving traffic between the two models is a model-name change, not a rewrite.

Lo que lo frenó

  • No none setting. Even the lightest request gets a short reasoning pass; the cheaper Terra is the GPT 6.1 model that accepts none.
  • A price cliff at 272,000 tokens. A prompt over that size is billed on a higher tier for the whole request, not just the excess, so send a full codebase only when the task needs it.
  • Reasoning is paid for out of max_tokens. The default cap is 4,096; a small cap at a high effort can be spent mostly on thinking before the visible answer starts.
  • Images are capped at 16,384 input tokens each. Enough for a screenshot or diagram; a dense scanned page may need a smaller crop, and Terra allows 37,000 per image.
  • No audio or video input, and no quality numbers of our own yet.

What we tested

On 28 October 2026 our platform sent GPT 6.1 Sol one real request as part of launch: a single neutral user message, answered without streaming at low reasoning effort with a 1,024-token cap. It returned a complete answer, and the request was priced at the published rate. The endpoint also passed our pre-launch checks of its price table and request limits.

That is a working-endpoint check, not a benchmark. We have not compared Sol's answers with another model, tested streaming or tool calls beyond what the endpoint documents, measured speed under load, or tried the 272,000-token tier. We plan to add scored runs; until then, treat the capability claims on this page as OpenAI's own and the limits as what our endpoint accepts.

Prompts to start from

These starting prompts come from the model page's published examples. We have not graded the outputs, so they are a place to begin rather than prompts proven on this model.

1. Review a change with a defined target. Name the failure you are hunting and ask for evidence.

text
Review a retry-loop change and identify where duplicate billing could occur. Work from the material I provide, cite the relevant lines, distinguish facts from assumptions, and say what information is missing before proposing changes.

Run this prompt on GPT 6.1 Sol →

2. A tool step. Confirms your function-calling loop end to end with a trivial function.

text
Call report_status with status ready.

Settings that matter: start at medium effort and step up only where a wrong answer is costly; leave several thousand tokens of max_tokens headroom above the visible answer; put reference material first and the question last.

How far it writes

We have not run our content-level test on GPT 6.1 Sol, so we have no result to report and the endpoint carries no Unrestricted label. The model page states the position plainly: content decisions come from the model, its behaviour can vary between versions, and no guarantee of unrestricted output is made.

Not tested yet: the full content-level ladder, multi-turn behaviour over a long session, languages other than English, and how the 272,000-token tier behaves in practice.

Every character in a request should be an adult, keep real, identifiable people out of it, and you are responsible for the law where you publish.

What the community says

The launch thread drew a split reaction. One reader summed up the pricing news as "Shots fired, half the price of Opus 5.5." Another welcomed it but wondered about the motive: "This is great. But maybe part of the motivation is that 6-Sol wasn't as good as initially advertised so they needed to tweak it."

Alternatives

  • The same family at half the price? GPT 6.1 Terra charges $1 per million input tokens and $5 output, accepts reasoning_effort none and allows larger images; Sol is the pick for the hardest tasks.
  • A different 1M-class model with audio input? Gemini 4 Argon reads text, images and audio, with replies capped at 65,536 tokens.
  • A different publisher's flagship? Claude Opus 5.5 is the Anthropic option on the same API; compare it on your own prompts.

Cómo gana GPT 6.1 Sol su Spicy Index

Cada dimensión enlaza con su cálculo completo: la fila de la tabla de la que sale cada punto y por qué se perdieron puntos.

Clasificaciones públicas 40 % de la calidad
Aún sin probar

Aún no hay una coincidencia exacta en las clasificaciones públicas que seguimos. Cómo funciona

Rol 15 % de la calidad
Aún sin probar

Nuestra batería de rol aún no se ha ejecutado con este modelo. Cómo funciona

Escritura creativa 15 % de la calidad
72,7
Seguimiento de instrucciones 15 % de la calidad
100,0
Memoria con contexto largo 15 % de la calidad
Aún sin probar

Nuestra batería de contexto largo aún no se ha ejecutado con este modelo. Cómo funciona

Capacidad Peso del 10,5 %
52,0
Freedom Score Peso del 30 %
Aún sin probar

La libertad no se ha probado o las pruebas son insuficientes. El Index conserva la puntuación original de calidad y capacidades, se marca como provisional y sigue recibiendo posición. La falta de pruebas no equivale a cero. Cómo funciona

La libertad no se ha probado o las pruebas son insuficientes. El Index conserva la puntuación original de calidad y capacidades, se marca como provisional y sigue recibiendo posición. La falta de pruebas no equivale a cero.

Abrir el informe de prueba completo →

Capacidad, punto por punto

Puntos de la tabla pública de puntuación. Los niveles reescalados y los límites que fijamos nosotros no cuentan.

Ventana de contexto (publicada por el creador)Sin declarar
0,0 / 30
Modalidades de entrada en SpicyAPITexto, más imágenes
12,0 / 25
Uso de herramientasHerramientas y tool_choice
15,0 / 15
Salida estructuradaSe acepta, cumplimiento del esquema verificado
15,0 / 15
Control del razonamiento5 niveles: low · medium · high · xhigh · max
10,0 / 15

Lo que GPT 6.1 Sol puede hacer en SpicyAPI

Tomado directamente de la especificación en vivo del modelo en SpicyAPI. Algunos creadores ofrecen más en sus propias apps; esto es lo que puedes llamar hoy desde nuestra API.

Capacidades por endpoint
FunciónConversación
Ventana de contexto1.050.000 tokens
Salida máxima por solicitud128.000 tokens
Niveles de razonamientolow · medium · high · xhigh · max
Llamada a herramientasSí
Salida estructuradaSí
Ver todos los parámetros y ejemplos de código →

Cuánto tarda de verdad

Medido con trabajos reales de los últimos 30 días, desde la solicitud hasta el resultado final. Los tiempos incluyen nuestras propias pruebas.

Velocidad de salida
26 tok/sIncluye el tiempo hasta el primer token
Tasa de éxito
Recopilando datos

Un tiempo aparece cuando hay al menos 10 trabajos completados. Las tasas de éxito solo cuentan trabajos de clientes y siguen ocultas para todos los modelos hasta completar 30 días de tráfico.

Lo que dice la gente de GPT 6.1 Sol

1 positivos · 1 mixtos · 0 negativos

  • Shots fired, half the price of Opus 5.5.

    hacker-news· 29 sept 2026· PositivoFuente

  • This is great. But maybe part of the motivation is that 6-Sol wasn't as good as initially advertised so they needed to tweak it.

    hacker-news· 29 sept 2026· MixtoFuente

Las citas son textuales de publicaciones públicas y enlazan al original. No son calificaciones ni alimentan ninguna puntuación.

Modelos que puedes considerar en lugar de GPT 6.1 Sol

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Preguntas frecuentes sobre GPT 6.1 Sol

Prueba GPT 6.1 Sol por tu cuenta

Ajusta cada parámetro en el Playground y mira el precio exacto antes de lanzarlo.

4,00 US$ por 1 M de tokens mixtos (3 de entrada : 1 de salida)

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