O que é GPT-5.6 Sol?

GPT-5.6 Sol is the flagship model in OpenAI's GPT-5.6 series. It is suited for complex reasoning, coding, and agentic workflows, and is particularly strong at command-line and multi-step coding tasks and long-horizon problem solving.

Onde está a documentação de GPT-5.6 Sol?

A documentação de GPT-5.6 Sol no OpenRouter inclui o guia de exemplos GPT-5.6 Migration Guide e a publicação GPT 5.6 Discounts & Jevons Paradox no blog. O guia de início rápido aborda chaves de API e sua primeira requisição, e a referência da API lista todos os parâmetros.

Quanto custa GPT-5.6 Sol?

GPT-5.6 Sol custa US$ 4,00/M de tokens de entrada e US$ 20,00/M de tokens de saída, com taxas separadas para Cache Read por US$ 0,40/M tokens e Cache Write por US$ 5,00/M tokens.

Qual é o tamanho do contexto de GPT-5.6 Sol?

GPT-5.6 Sol tem uma janela de contexto de 1.050.000 tokens. Ele aceita até 128.000 tokens de conclusão.

GPT-5.6 Sol oferece suporte a chamadas de ferramentas e saídas estruturadas?

Sim. GPT-5.6 Sol aceita tools e tool_choice para chamadas de função. Também oferece suporte a saídas estruturadas por meio de um esquema JSON em response_format.

Posso desativar o cache de prompts para GPT-5.6 Sol?

Sim. A OpenAI armazena automaticamente em cache prompts de 1024 tokens ou mais, e GPT-5.6 Sol cobra uma gravação em cache para cada prompt armazenado em cache, independentemente de o prefixo em cache ser lido novamente. Para desativar o cache em uma requisição, defina prompt_cache_options.mode como "explicit" na raiz da requisição e não marque nenhum bloco de conteúdo com prompt_cache_breakpoint. O modo explícito desativa os pontos de interrupção gerenciados pela OpenAI, portanto uma requisição sem pontos de interrupção próprios não tem prefixo que possa ser armazenado em cache e é cobrada pela tarifa normal de entrada. Consulte o guia de armazenamento de prompts em cache.

Quais entradas e saídas GPT-5.6 Sol suporta?

GPT-5.6 Sol aceita arquivos como PDFs, imagens e texto como entrada e retorna texto.

Quais provedores disponibilizam GPT-5.6 Sol?

GPT-5.6 Sol é disponibilizado por 3 provedores no OpenRouter: OpenAI, Amazon Bedrock e Azure. As solicitações são roteadas para o melhor provedor disponível, com alternância automática para os demais em caso de falha, e você pode fixar ou excluir provedores com o roteamento de provedores.

Quando GPT-5.6 Sol foi lançado?

GPT-5.6 Sol foi lançado em 9 de julho de 2026. Seu conhecimento vai até 16 de fevereiro de 2026.

GPT-5.6 Sol - Preços da API e avaliações de desempenho

Name: OpenAI: GPT-5.6 Sol
Author: OpenAI

Resumo das pontuações de avaliações comparativas para OpenAI: GPT-5.6 Sol (Artificial Analysis e Vals AI)
Fonte	Avaliação comparativa	Pontuação
Artificial Analysis	GPT-5.6 Sol (High) Coding Index	77,2
Artificial Analysis	GPT-5.6 Sol (High) Agentic Index	44,2
Artificial Analysis	GPT-5.6 Sol (High) GPQA Diamond	92.8%
Artificial Analysis	GPT-5.6 Sol (High) HLE	46.0%
Artificial Analysis	GPT-5.6 Sol (High) IFBench	69.2%
Artificial Analysis	GPT-5.6 Sol (High) τ²-Bench Telecom	83.3%
Artificial Analysis	GPT-5.6 Sol (High) AA-LCR	81.7%
Artificial Analysis	GPT-5.6 Sol (High) τ-Bench Banking	36.7%
Artificial Analysis	GPT-5.6 Sol (High) GDPval-AA	50.6%
Artificial Analysis	GPT-5.6 Sol (High) CritPt	25.7%
Artificial Analysis	GPT-5.6 Sol (High) SciCode	57.8%
Artificial Analysis	GPT-5.6 Sol (High) Terminal-Bench Hard	62.1%
Artificial Analysis	GPT-5.6 Sol (High) Terminal-Bench 4.0	20.7%
Artificial Analysis	GPT-5.6 Sol (High) Terminal-Bench 2.1	87.3%
Artificial Analysis	GPT-5.6 Sol (Low) Coding Index	69,7
Artificial Analysis	GPT-5.6 Sol (Low) Agentic Index	31,6
Artificial Analysis	GPT-5.6 Sol (Low) GPQA Diamond	89.8%
Artificial Analysis	GPT-5.6 Sol (Low) HLE	39.4%
Artificial Analysis	GPT-5.6 Sol (Low) IFBench	66.5%
Artificial Analysis	GPT-5.6 Sol (Low) τ²-Bench Telecom	76.0%
Artificial Analysis	GPT-5.6 Sol (Low) AA-LCR	78.0%
Artificial Analysis	GPT-5.6 Sol (Low) τ-Bench Banking	29.1%
Artificial Analysis	GPT-5.6 Sol (Low) GDPval-AA	40.7%
Artificial Analysis	GPT-5.6 Sol (Low) CritPt	14.9%
Artificial Analysis	GPT-5.6 Sol (Low) SciCode	56.4%
Artificial Analysis	GPT-5.6 Sol (Low) Terminal-Bench Hard	60.6%
Artificial Analysis	GPT-5.6 Sol (Low) Terminal-Bench 4.0	1.0%
Artificial Analysis	GPT-5.6 Sol (Low) Terminal-Bench 2.1	76.8%
Artificial Analysis	GPT-5.6 Sol (Max) Coding Index	77,4
Artificial Analysis	GPT-5.6 Sol (Max) Agentic Index	50,2
Artificial Analysis	GPT-5.6 Sol (Max) GPQA Diamond	94.1%
Artificial Analysis	GPT-5.6 Sol (Max) HLE	49.5%
Artificial Analysis	GPT-5.6 Sol (Max) IFBench	72.7%
Artificial Analysis	GPT-5.6 Sol (Max) τ²-Bench Telecom	85.1%
Artificial Analysis	GPT-5.6 Sol (Max) AA-LCR	84.0%
Artificial Analysis	GPT-5.6 Sol (Max) τ-Bench Banking	44.3%
Artificial Analysis	GPT-5.6 Sol (Max) GDPval-AA	55.9%
Artificial Analysis	GPT-5.6 Sol (Max) CritPt	32.3%
Artificial Analysis	GPT-5.6 Sol (Max) SciCode	57.1%
Artificial Analysis	GPT-5.6 Sol (Max) Terminal-Bench Hard	65.9%
Artificial Analysis	GPT-5.6 Sol (Max) Terminal-Bench 4.0	39.9%
Artificial Analysis	GPT-5.6 Sol (Max) Terminal-Bench 2.1	88.0%
Artificial Analysis	GPT-5.6 Sol (Medium) Coding Index	76,3
Artificial Analysis	GPT-5.6 Sol (Medium) Agentic Index	39,7
Artificial Analysis	GPT-5.6 Sol (Medium) GPQA Diamond	92.6%
Artificial Analysis	GPT-5.6 Sol (Medium) HLE	42.2%
Artificial Analysis	GPT-5.6 Sol (Medium) IFBench	69.6%
Artificial Analysis	GPT-5.6 Sol (Medium) τ²-Bench Telecom	81.0%
Artificial Analysis	GPT-5.6 Sol (Medium) AA-LCR	80.3%
Artificial Analysis	GPT-5.6 Sol (Medium) τ-Bench Banking	36.5%
Artificial Analysis	GPT-5.6 Sol (Medium) GDPval-AA	46.6%
Artificial Analysis	GPT-5.6 Sol (Medium) CritPt	22.9%
Artificial Analysis	GPT-5.6 Sol (Medium) SciCode	57.4%
Artificial Analysis	GPT-5.6 Sol (Medium) Terminal-Bench Hard	62.9%
Artificial Analysis	GPT-5.6 Sol (Medium) Terminal-Bench 4.0	14.6%
Artificial Analysis	GPT-5.6 Sol (Medium) Terminal-Bench 2.1	86.1%
Artificial Analysis	GPT-5.6 Sol (Non-reasoning) Coding Index	65,1
Artificial Analysis	GPT-5.6 Sol (Non-reasoning) Agentic Index	28,1
Artificial Analysis	GPT-5.6 Sol (Non-reasoning) GPQA Diamond	79.0%
Artificial Analysis	GPT-5.6 Sol (Non-reasoning) HLE	16.7%
Artificial Analysis	GPT-5.6 Sol (Non-reasoning) AA-LCR	62.3%
Artificial Analysis	GPT-5.6 Sol (Non-reasoning) τ-Bench Banking	19.6%
Artificial Analysis	GPT-5.6 Sol (Non-reasoning) GDPval-AA	37.5%
Artificial Analysis	GPT-5.6 Sol (Non-reasoning) CritPt	5.1%
Artificial Analysis	GPT-5.6 Sol (Non-reasoning) SciCode	47.7%
Artificial Analysis	GPT-5.6 Sol (Non-reasoning) Terminal-Bench 2.1	74.2%
Artificial Analysis	GPT-5.6 Sol (Xhigh) Coding Index	78,3
Artificial Analysis	GPT-5.6 Sol (Xhigh) Agentic Index	47,4
Artificial Analysis	GPT-5.6 Sol (Xhigh) GPQA Diamond	93.1%
Artificial Analysis	GPT-5.6 Sol (Xhigh) HLE	47.3%
Artificial Analysis	GPT-5.6 Sol (Xhigh) IFBench	71.0%
Artificial Analysis	GPT-5.6 Sol (Xhigh) τ²-Bench Telecom	84.8%
Artificial Analysis	GPT-5.6 Sol (Xhigh) AA-LCR	82.3%
Artificial Analysis	GPT-5.6 Sol (Xhigh) τ-Bench Banking	38.1%
Artificial Analysis	GPT-5.6 Sol (Xhigh) GDPval-AA	53.9%
Artificial Analysis	GPT-5.6 Sol (Xhigh) CritPt	28.6%
Artificial Analysis	GPT-5.6 Sol (Xhigh) SciCode	57.1%
Artificial Analysis	GPT-5.6 Sol (Xhigh) Terminal-Bench Hard	61.4%
Artificial Analysis	GPT-5.6 Sol (Xhigh) Terminal-Bench 4.0	24.7%
Artificial Analysis	GPT-5.6 Sol (Xhigh) Terminal-Bench 2.1	89.5%
Vals AI	GPT-5.6 Sol BioMysteryBench	71.1%
Vals AI	GPT-5.6 Sol Code Migration	52.9%
Vals AI	GPT-5.6 Sol CorpFin v2	64.4%
Vals AI	GPT-5.6 Sol CyberBench v1.1	76.3%
Vals AI	GPT-5.6 Sol EMB	72.3%
Vals AI	GPT-5.6 Sol Finance Agent (v2)	53.8%
Vals AI	GPT-5.6 Sol GPQA Diamond	95.2%
Vals AI	GPT-5.6 Sol Harvey's Legal Agent Benchmark v1	2.5%
Vals AI	GPT-5.6 Sol IOI	91.2%
Vals AI	GPT-5.6 Sol LiveCodeBench	82.6%
Vals AI	GPT-5.6 Sol LegalBench	87.0%
Vals AI	GPT-5.6 Sol Legal Research Bench	48.1%
Vals AI	GPT-5.6 Sol MedCode	44.0%
Vals AI	GPT-5.6 Sol MedScribe	85.2%
Vals AI	GPT-5.6 Sol MMLU Pro	89.1%
Vals AI	GPT-5.6 Sol MMMU Pro	88.8%
Vals AI	GPT-5.6 Sol MortgageTax	67.3%
Vals AI	GPT-5.6 Sol MysteryMechanism	33.3%
Vals AI	GPT-5.6 Sol ProgramBench	1.5%
Vals AI	GPT-5.6 Sol ProofBench v1.1	83.0%
Vals AI	GPT-5.6 Sol Public Benefits Bench v1.1	66.5%
Vals AI	GPT-5.6 Sol Vals RSI Index	23.9%
Vals AI	GPT-5.6 Sol SAGE v1	52.6%
Vals AI	GPT-5.6 Sol Vals Science Index	41.5%
Vals AI	GPT-5.6 Sol SkillsBench	54.1%
Vals AI	GPT-5.6 Sol SRE Bench	30.5%
Vals AI	GPT-5.6 Sol SWE-bench	96.2%
Vals AI	GPT-5.6 Sol Tax Agent Bench	31.1%
Vals AI	GPT-5.6 Sol TaxEval v2	74.8%
Vals AI	GPT-5.6 Sol Terminal-Bench 4.0	37.9%
Vals AI	GPT-5.6 Sol Terminal-Bench-Science	20.0%
Vals AI	GPT-5.6 Sol Vals Index	58.0%
Vals AI	GPT-5.6 Sol Vals Multimodal Index	72.6%
Vals AI	GPT-5.6 Sol Vibe Code Bench 1-100	20.0%
Vals AI	GPT-5.6 Sol Vibe Code Bench v1.1	80.5%
Vals AI	GPT-5.6 Sol Vals Web Search Index	43.6%


	US$ 4,00	US$ 20,00	US$ 0,40	3,99s	72 tps	100,00%
	US$ 4,00	US$ 20,00	US$ 0,40	3,70s	55 tps	99,96%
	US$ 4,00	US$ 20,00	US$ 0,40	2,96s	79 tps	100,00%
Não utilizado no roteamento Standard:Por que estes endpoints não são usados
Flex	US$ 2,00	US$ 10,00	US$ 0,20	5,00s	135 tps	100,00%
	US$ 4,40	US$ 22,00	US$ 0,44	4,95s	53 tps	100,00%
	US$ 4,40	US$ 22,00	US$ 0,44	--	--	--
	US$ 4,40	US$ 22,00	US$ 0,44	4,94s	65 tps	100,00%
Fast	US$ 8,00	US$ 40,00	US$ 0,80	1,53s	95 tps	100,00%

Resumo das pontuações de avaliações comparativas para OpenAI: GPT-5.6 Sol (Artificial Analysis e Vals AI)
Fonte	Avaliação comparativa	Pontuação
Artificial Analysis	GPT-5.6 Sol (High) Coding Index	77,2
Artificial Analysis	GPT-5.6 Sol (High) Agentic Index	44,2
Artificial Analysis	GPT-5.6 Sol (High) GPQA Diamond	92.8%
Artificial Analysis	GPT-5.6 Sol (High) HLE	46.0%
Artificial Analysis	GPT-5.6 Sol (High) IFBench	69.2%
Artificial Analysis	GPT-5.6 Sol (High) τ²-Bench Telecom	83.3%
Artificial Analysis	GPT-5.6 Sol (High) AA-LCR	81.7%
Artificial Analysis	GPT-5.6 Sol (High) τ-Bench Banking	36.7%
Artificial Analysis	GPT-5.6 Sol (High) GDPval-AA	50.6%
Artificial Analysis	GPT-5.6 Sol (High) CritPt	25.7%
Artificial Analysis	GPT-5.6 Sol (High) SciCode	57.8%
Artificial Analysis	GPT-5.6 Sol (High) Terminal-Bench Hard	62.1%
Artificial Analysis	GPT-5.6 Sol (High) Terminal-Bench 4.0	20.7%
Artificial Analysis	GPT-5.6 Sol (High) Terminal-Bench 2.1	87.3%
Artificial Analysis	GPT-5.6 Sol (Low) Coding Index	69,7
Artificial Analysis	GPT-5.6 Sol (Low) Agentic Index	31,6
Artificial Analysis	GPT-5.6 Sol (Low) GPQA Diamond	89.8%
Artificial Analysis	GPT-5.6 Sol (Low) HLE	39.4%
Artificial Analysis	GPT-5.6 Sol (Low) IFBench	66.5%
Artificial Analysis	GPT-5.6 Sol (Low) τ²-Bench Telecom	76.0%
Artificial Analysis	GPT-5.6 Sol (Low) AA-LCR	78.0%
Artificial Analysis	GPT-5.6 Sol (Low) τ-Bench Banking	29.1%
Artificial Analysis	GPT-5.6 Sol (Low) GDPval-AA	40.7%
Artificial Analysis	GPT-5.6 Sol (Low) CritPt	14.9%
Artificial Analysis	GPT-5.6 Sol (Low) SciCode	56.4%
Artificial Analysis	GPT-5.6 Sol (Low) Terminal-Bench Hard	60.6%
Artificial Analysis	GPT-5.6 Sol (Low) Terminal-Bench 4.0	1.0%
Artificial Analysis	GPT-5.6 Sol (Low) Terminal-Bench 2.1	76.8%
Artificial Analysis	GPT-5.6 Sol (Max) Coding Index	77,4
Artificial Analysis	GPT-5.6 Sol (Max) Agentic Index	50,2
Artificial Analysis	GPT-5.6 Sol (Max) GPQA Diamond	94.1%
Artificial Analysis	GPT-5.6 Sol (Max) HLE	49.5%
Artificial Analysis	GPT-5.6 Sol (Max) IFBench	72.7%
Artificial Analysis	GPT-5.6 Sol (Max) τ²-Bench Telecom	85.1%
Artificial Analysis	GPT-5.6 Sol (Max) AA-LCR	84.0%
Artificial Analysis	GPT-5.6 Sol (Max) τ-Bench Banking	44.3%
Artificial Analysis	GPT-5.6 Sol (Max) GDPval-AA	55.9%
Artificial Analysis	GPT-5.6 Sol (Max) CritPt	32.3%
Artificial Analysis	GPT-5.6 Sol (Max) SciCode	57.1%
Artificial Analysis	GPT-5.6 Sol (Max) Terminal-Bench Hard	65.9%
Artificial Analysis	GPT-5.6 Sol (Max) Terminal-Bench 4.0	39.9%
Artificial Analysis	GPT-5.6 Sol (Max) Terminal-Bench 2.1	88.0%
Artificial Analysis	GPT-5.6 Sol (Medium) Coding Index	76,3
Artificial Analysis	GPT-5.6 Sol (Medium) Agentic Index	39,7
Artificial Analysis	GPT-5.6 Sol (Medium) GPQA Diamond	92.6%
Artificial Analysis	GPT-5.6 Sol (Medium) HLE	42.2%
Artificial Analysis	GPT-5.6 Sol (Medium) IFBench	69.6%
Artificial Analysis	GPT-5.6 Sol (Medium) τ²-Bench Telecom	81.0%
Artificial Analysis	GPT-5.6 Sol (Medium) AA-LCR	80.3%
Artificial Analysis	GPT-5.6 Sol (Medium) τ-Bench Banking	36.5%
Artificial Analysis	GPT-5.6 Sol (Medium) GDPval-AA	46.6%
Artificial Analysis	GPT-5.6 Sol (Medium) CritPt	22.9%
Artificial Analysis	GPT-5.6 Sol (Medium) SciCode	57.4%
Artificial Analysis	GPT-5.6 Sol (Medium) Terminal-Bench Hard	62.9%
Artificial Analysis	GPT-5.6 Sol (Medium) Terminal-Bench 4.0	14.6%
Artificial Analysis	GPT-5.6 Sol (Medium) Terminal-Bench 2.1	86.1%
Artificial Analysis	GPT-5.6 Sol (Non-reasoning) Coding Index	65,1
Artificial Analysis	GPT-5.6 Sol (Non-reasoning) Agentic Index	28,1
Artificial Analysis	GPT-5.6 Sol (Non-reasoning) GPQA Diamond	79.0%
Artificial Analysis	GPT-5.6 Sol (Non-reasoning) HLE	16.7%
Artificial Analysis	GPT-5.6 Sol (Non-reasoning) AA-LCR	62.3%
Artificial Analysis	GPT-5.6 Sol (Non-reasoning) τ-Bench Banking	19.6%
Artificial Analysis	GPT-5.6 Sol (Non-reasoning) GDPval-AA	37.5%
Artificial Analysis	GPT-5.6 Sol (Non-reasoning) CritPt	5.1%
Artificial Analysis	GPT-5.6 Sol (Non-reasoning) SciCode	47.7%
Artificial Analysis	GPT-5.6 Sol (Non-reasoning) Terminal-Bench 2.1	74.2%
Artificial Analysis	GPT-5.6 Sol (Xhigh) Coding Index	78,3
Artificial Analysis	GPT-5.6 Sol (Xhigh) Agentic Index	47,4
Artificial Analysis	GPT-5.6 Sol (Xhigh) GPQA Diamond	93.1%
Artificial Analysis	GPT-5.6 Sol (Xhigh) HLE	47.3%
Artificial Analysis	GPT-5.6 Sol (Xhigh) IFBench	71.0%
Artificial Analysis	GPT-5.6 Sol (Xhigh) τ²-Bench Telecom	84.8%
Artificial Analysis	GPT-5.6 Sol (Xhigh) AA-LCR	82.3%
Artificial Analysis	GPT-5.6 Sol (Xhigh) τ-Bench Banking	38.1%
Artificial Analysis	GPT-5.6 Sol (Xhigh) GDPval-AA	53.9%
Artificial Analysis	GPT-5.6 Sol (Xhigh) CritPt	28.6%
Artificial Analysis	GPT-5.6 Sol (Xhigh) SciCode	57.1%
Artificial Analysis	GPT-5.6 Sol (Xhigh) Terminal-Bench Hard	61.4%
Artificial Analysis	GPT-5.6 Sol (Xhigh) Terminal-Bench 4.0	24.7%
Artificial Analysis	GPT-5.6 Sol (Xhigh) Terminal-Bench 2.1	89.5%
Vals AI	GPT-5.6 Sol BioMysteryBench	71.1%
Vals AI	GPT-5.6 Sol Code Migration	52.9%
Vals AI	GPT-5.6 Sol CorpFin v2	64.4%
Vals AI	GPT-5.6 Sol CyberBench v1.1	76.3%
Vals AI	GPT-5.6 Sol EMB	72.3%
Vals AI	GPT-5.6 Sol Finance Agent (v2)	53.8%
Vals AI	GPT-5.6 Sol GPQA Diamond	95.2%
Vals AI	GPT-5.6 Sol Harvey's Legal Agent Benchmark v1	2.5%
Vals AI	GPT-5.6 Sol IOI	91.2%
Vals AI	GPT-5.6 Sol LiveCodeBench	82.6%
Vals AI	GPT-5.6 Sol LegalBench	87.0%
Vals AI	GPT-5.6 Sol Legal Research Bench	48.1%
Vals AI	GPT-5.6 Sol MedCode	44.0%
Vals AI	GPT-5.6 Sol MedScribe	85.2%
Vals AI	GPT-5.6 Sol MMLU Pro	89.1%
Vals AI	GPT-5.6 Sol MMMU Pro	88.8%
Vals AI	GPT-5.6 Sol MortgageTax	67.3%
Vals AI	GPT-5.6 Sol MysteryMechanism	33.3%
Vals AI	GPT-5.6 Sol ProgramBench	1.5%
Vals AI	GPT-5.6 Sol ProofBench v1.1	83.0%
Vals AI	GPT-5.6 Sol Public Benefits Bench v1.1	66.5%
Vals AI	GPT-5.6 Sol Vals RSI Index	23.9%
Vals AI	GPT-5.6 Sol SAGE v1	52.6%
Vals AI	GPT-5.6 Sol Vals Science Index	41.5%
Vals AI	GPT-5.6 Sol SkillsBench	54.1%
Vals AI	GPT-5.6 Sol SRE Bench	30.5%
Vals AI	GPT-5.6 Sol SWE-bench	96.2%
Vals AI	GPT-5.6 Sol Tax Agent Bench	31.1%
Vals AI	GPT-5.6 Sol TaxEval v2	74.8%
Vals AI	GPT-5.6 Sol Terminal-Bench 4.0	37.9%
Vals AI	GPT-5.6 Sol Terminal-Bench-Science	20.0%
Vals AI	GPT-5.6 Sol Vals Index	58.0%
Vals AI	GPT-5.6 Sol Vals Multimodal Index	72.6%
Vals AI	GPT-5.6 Sol Vibe Code Bench 1-100	20.0%
Vals AI	GPT-5.6 Sol Vibe Code Bench v1.1	80.5%
Vals AI	GPT-5.6 Sol Vals Web Search Index	43.6%

GPT-6.1 Terra Pro

GPT-6.1 Terra Pro is the same underlying model as GPT-6.1 Terra, served with reasoning.mode set to pro for higher-quality responses on complex tasks.

Cost note: pro mode spends far more reasoning tokens per request, so a typical request costs several times more than the same request on GPT-6.1 Terra and takes much longer to complete. It is intended for hard, high-stakes problems where the extra accuracy justifies the cost. For everyday coding, agentic, and chat workloads, use GPT-6.1 Terra instead.

Learn more in OpenAI's docs: https://developers.openai.com/api/docs/guides/reasoning#reasoning-mode

TextoContexto de 1,1MUS$ 1 / US$ 5

GPT-6.1 Terra Pro (batch)

GPT-6.1 Terra Pro is the same underlying model as GPT-6.1 Terra, served with reasoning.mode set to pro for higher-quality responses on complex tasks.

Cost note: pro mode spends far more reasoning tokens per request, so a typical request costs several times more than the same request on GPT-6.1 Terra and takes much longer to complete. It is intended for hard, high-stakes problems where the extra accuracy justifies the cost. For everyday coding, agentic, and chat workloads, use GPT-6.1 Terra instead.

Learn more in OpenAI's docs: https://developers.openai.com/api/docs/guides/reasoning#reasoning-mode

TextoContexto de 1,1MUS$ 0,50 / US$ 2,50

GPT-6.1 Terra

GPT-6.1 Terra is the mid-tier model in OpenAI's GPT-6.1 series, priced below GPT-6.1 Sol. It is suited for everyday agentic, coding, and writing work, is particularly strong at understanding screenshots and on-screen content, and is efficient enough for high-volume workloads.

TextoContexto de 1,1MUS$ 1 / US$ 5

GPT-6.1 Terra (batch)

GPT-6.1 Terra is the mid-tier model in OpenAI's GPT-6.1 series, priced below GPT-6.1 Sol. It is suited for everyday agentic, coding, and writing work, is particularly strong at understanding screenshots and on-screen content, and is efficient enough for high-volume workloads.

TextoContexto de 1,1MUS$ 0,50 / US$ 2,50

GPT-6 Luna Decisions

GPT-6 Luna Decisions is GPT-6 Luna served through OpenAI's Decisions API. Instead of generating text, it reads the content passed as state (text, JSON, or images) and returns typed, probabilistic answers to named questions in a single request: the probability of yes for a yes/no question (noul), a probability for every option plus the most likely one (choice), or a probability for every level of an ordered rubric plus the expected score (score).

It is built for classification, routing, moderation, and rubric grading where application code thresholds the returned numbers rather than parsing a chat reply. A request can carry up to 200 questions about the same content.

DecisõesUS$ 0,10 / US$ 0

GPT-6.1 Sol Pro

GPT-6.1 Sol Pro is the same underlying model as GPT-6.1 Sol, served with reasoning.mode set to pro for higher-quality responses on complex tasks.

Cost note: pro mode spends far more reasoning tokens per request, so a typical request costs several times more than the same request on GPT-6.1 Sol and takes much longer to complete. It is intended for hard, high-stakes problems where the extra accuracy justifies the cost. For everyday coding, agentic, and chat workloads, use GPT-6.1 Sol instead.

Learn more in OpenAI's docs: https://developers.openai.com/api/docs/guides/reasoning#reasoning-mode

TextoContexto de 1,1MUS$ 2 / US$ 10

GPT-6.1 Sol Pro (batch)

GPT-6.1 Sol Pro is the same underlying model as GPT-6.1 Sol, served with reasoning.mode set to pro for higher-quality responses on complex tasks.

Cost note: pro mode spends far more reasoning tokens per request, so a typical request costs several times more than the same request on GPT-6.1 Sol and takes much longer to complete. It is intended for hard, high-stakes problems where the extra accuracy justifies the cost. For everyday coding, agentic, and chat workloads, use GPT-6.1 Sol instead.

Learn more in OpenAI's docs: https://developers.openai.com/api/docs/guides/reasoning#reasoning-mode

TextoContexto de 1,1MUS$ 1 / US$ 5

GPT-6.1 Sol

GPT-6.1 Sol is an upgrade to GPT-6 Sol from OpenAI, positioned below the flagship GPT-6 Astra in the GPT-6 series. It is suited for agentic coding, computer use, document-heavy professional work, and multi-step business workflow automation, and approaches Astra-level results on these tasks at a much lower cost. Compared with GPT-6 Sol, it makes fewer factual errors and is more reliable at respecting explicit restrictions and user intent during agentic tasks.

TextoContexto de 1,1MUS$ 2 / US$ 10

GPT-6.1 Sol (batch)

GPT-6.1 Sol is an upgrade to GPT-6 Sol from OpenAI, positioned below the flagship GPT-6 Astra in the GPT-6 series. It is suited for agentic coding, computer use, document-heavy professional work, and multi-step business workflow automation, and approaches Astra-level results on these tasks at a much lower cost. Compared with GPT-6 Sol, it makes fewer factual errors and is more reliable at respecting explicit restrictions and user intent during agentic tasks.

TextoContexto de 1,1MUS$ 1 / US$ 5

GPT-6 Luna Pro

GPT-6 Luna Pro is the same underlying model as GPT-6 Luna, served with reasoning.mode set to pro for higher-quality responses on complex tasks.

Cost note: pro mode spends far more reasoning tokens per request, so a typical request costs several times more than the same request on GPT-6 Luna and takes much longer to complete. It is intended for hard, high-stakes problems where the extra accuracy justifies the cost. For everyday coding, agentic, and chat workloads, use GPT-6 Luna instead.

Learn more in OpenAI's docs: https://developers.openai.com/api/docs/guides/reasoning#reasoning-mode

TextoContexto de 1,1MUS$ 0,10 / US$ 0,50

GPT-6 Luna Pro (batch)

GPT-6 Luna Pro is the same underlying model as GPT-6 Luna, served with reasoning.mode set to pro for higher-quality responses on complex tasks.

Cost note: pro mode spends far more reasoning tokens per request, so a typical request costs several times more than the same request on GPT-6 Luna and takes much longer to complete. It is intended for hard, high-stakes problems where the extra accuracy justifies the cost. For everyday coding, agentic, and chat workloads, use GPT-6 Luna instead.

Learn more in OpenAI's docs: https://developers.openai.com/api/docs/guides/reasoning#reasoning-mode

TextoContexto de 1,1MUS$ 0,05 / US$ 0,25

GPT-6 Luna

GPT-6 Luna is the fast, cost-efficient model in OpenAI's GPT-6 series, positioned below GPT-6 Sol. It is suited for high-volume and latency-sensitive workloads such as chat, classification, and lightweight agentic tasks, and at higher reasoning effort it can take on complex software engineering and computer-use tasks that previously called for a Sol-tier model. It shares the GPT-6 family's gains in factual reliability and its clearer, more concise communication style.

TextoContexto de 1,1MUS$ 0,10 / US$ 0,50

GPT-6 Luna (batch)

GPT-6 Luna is the fast, cost-efficient model in OpenAI's GPT-6 series, positioned below GPT-6 Sol. It is suited for high-volume and latency-sensitive workloads such as chat, classification, and lightweight agentic tasks, and at higher reasoning effort it can take on complex software engineering and computer-use tasks that previously called for a Sol-tier model. It shares the GPT-6 family's gains in factual reliability and its clearer, more concise communication style.

TextoContexto de 1,1MUS$ 0,05 / US$ 0,25

GPT-6 Sol Pro

GPT-6 Sol Pro is the same underlying model as GPT-6 Sol, served with reasoning.mode set to pro for higher-quality responses on complex tasks.

Cost note: pro mode spends far more reasoning tokens per request, so a typical request costs several times more than the same request on GPT-6 Sol and takes much longer to complete. It is intended for hard, high-stakes problems where the extra accuracy justifies the cost. For everyday coding, agentic, and chat workloads, use GPT-6 Sol instead.

Learn more in OpenAI's docs: https://developers.openai.com/api/docs/guides/reasoning#reasoning-mode

TextoContexto de 1,1MUS$ 2 / US$ 10

GPT-6 Sol Pro (batch)

GPT-6 Sol Pro is the same underlying model as GPT-6 Sol, served with reasoning.mode set to pro for higher-quality responses on complex tasks.

Cost note: pro mode spends far more reasoning tokens per request, so a typical request costs several times more than the same request on GPT-6 Sol and takes much longer to complete. It is intended for hard, high-stakes problems where the extra accuracy justifies the cost. For everyday coding, agentic, and chat workloads, use GPT-6 Sol instead.

Learn more in OpenAI's docs: https://developers.openai.com/api/docs/guides/reasoning#reasoning-mode

TextoContexto de 1,1MUS$ 1 / US$ 5

GPT-6 Sol

GPT-6 Sol is the cost-efficient high-end model in OpenAI's GPT-6 series, positioned below the flagship GPT-6 Astra and above the fast GPT-6 Luna tier. It is suited for demanding professional work, agentic coding, business workflow automation, and computer use, and is particularly strong at long-horizon software engineering tasks in real codebases. It approaches Astra-level factual reliability at a much lower cost and shares Astra's clearer, more concise communication style in technical and coding conversations.

TextoContexto de 1,1MUS$ 2 / US$ 10

GPT-6 Sol (batch)

GPT-6 Sol is the cost-efficient high-end model in OpenAI's GPT-6 series, positioned below the flagship GPT-6 Astra and above the fast GPT-6 Luna tier. It is suited for demanding professional work, agentic coding, business workflow automation, and computer use, and is particularly strong at long-horizon software engineering tasks in real codebases. It approaches Astra-level factual reliability at a much lower cost and shares Astra's clearer, more concise communication style in technical and coding conversations.

TextoContexto de 1,1MUS$ 1 / US$ 5

GPT Astra Latest

This model always redirects to the latest model in the GPT Astra family.

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GPT Sol Latest

This model always redirects to the latest model in the GPT Sol family.

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GPT Terra Latest

This model always redirects to the latest model in the GPT Terra family.

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