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Anthropic: Claude Opus 5.5 (batch)

anthropic/claude-opus-5.5:batch

Comparar

Claude Opus 5.5 is Anthropic's flagship model for demanding reasoning, coding, and long-horizon agentic work, succeeding Claude Opus 5. It is particularly strong at multi-step changes in large codebases, code review and bug finding, financial and scientific analysis, and reading dense charts, diagrams, and screenshots, and it is more careful than its predecessor about only stating figures and citing sources it can back up.

The model completes comparable tasks in fewer steps and with fewer tokens than Opus 5, and reports on its work in plainer language, with clear updates on what it did, what it found, and what it needs from the user. Thinking is always adaptive, so effort is the main lever for trading off depth, latency, and cost, and lower effort settings remain effective for latency-sensitive workloads.

Modalidades
Preço de entrada / saída
US$ 2 / US$ 10por 1M
Contexto
1,0M
Lançado
22 de set. de 2026
Comparar
ProvedoresPreçosDesempenhoDisponibilidadeAvaliações de desempenhoAplicativosAtividadeDocumentaçãoPerguntas frequentesExplorar

Provedores

Diferentes empresas hospedam o mesmo modelo. O OpenRouter encaminha sua solicitação para uma delas com base no modo de roteamento que você escolhe — Equilibrado (preço + velocidade), Nitro (mais rápido) ou Floor (mais barato).

Preços

O preço médio que os clientes realmente pagam por este modelo, ao lado dos preços publicados pelos provedores. O cache e os descontos fazem com que o preço efetivamente pago seja frequentemente bem inferior ao preço anunciado.

Desempenho

A vazão indica a velocidade com que o modelo escreve (tokens por segundo — quanto maior, melhor). A latência é o tempo total de ida e volta (quanto menor, melhor). TTFT é o tempo até o primeiro token — quanto tempo leva para você ver algo aparecer (quanto menor, melhor).

Disponibilidade

A disponibilidade é a porcentagem dos últimos 3 dias em que pelo menos um provedor estava respondendo às solicitações. A disponibilidade é a porcentagem de tempo em que a inferência foi realizada com sucesso. O OpenRouter monitora continuamente e usa o próximo melhor provedor quando um deles retorna um erro.

Avaliações de desempenho

Pontuações em avaliações padronizadas e as próprias saídas deste modelo para prompts compartilhados de testes de desempenho. Porcentagens maiores são melhores — e cada posição mostra onde este modelo fica entre os modelos avaliados naquela fonte.

Resumo das pontuações de avaliações comparativas para Anthropic: Claude Opus 5.5 (batch) (Artificial Analysis, Design Arena e Vals AI)
FonteAvaliação comparativaPontuação
Artificial AnalysisClaude Opus 5.5 (Medium, Default Fallback) Intelligence Index48,1
Artificial AnalysisClaude Opus 5.5 (Medium, Default Fallback) HLE54.7%
Artificial AnalysisClaude Opus 5.5 (Medium, Default Fallback) AA-LCR84.3%
Artificial AnalysisClaude Opus 5.5 (Medium, Default Fallback) GDPval-AA54.6%
Artificial AnalysisClaude Opus 5.5 (Medium, Default Fallback) CritPt27.7%
Artificial AnalysisClaude Opus 5.5 (Medium, Default Fallback) SciCode59.3%
Artificial AnalysisClaude Opus 5.5 (Medium, Default Fallback) Terminal-Bench 4.052.5%
Artificial AnalysisClaude Opus 5.5 (Medium, Default Fallback) AA-Omniscience Accuracy63.9%
Artificial AnalysisClaude Opus 5.5 (Medium, Default Fallback) AA-Omniscience Non-Hallucination Rate33.1%
Artificial AnalysisClaude Opus 5.5 (Low, Default Fallback) Intelligence Index34,5
Artificial AnalysisClaude Opus 5.5 (Low, Default Fallback) HLE48.3%
Artificial AnalysisClaude Opus 5.5 (Low, Default Fallback) AA-LCR80.7%
Artificial AnalysisClaude Opus 5.5 (Low, Default Fallback) GDPval-AA37.0%
Artificial AnalysisClaude Opus 5.5 (Low, Default Fallback) CritPt17.7%
Artificial AnalysisClaude Opus 5.5 (Low, Default Fallback) SciCode58.6%
Artificial AnalysisClaude Opus 5.5 (Low, Default Fallback) Terminal-Bench 4.031.3%
Artificial AnalysisClaude Opus 5.5 (Low, Default Fallback) AA-Omniscience Accuracy63.3%
Artificial AnalysisClaude Opus 5.5 (Low, Default Fallback) AA-Omniscience Non-Hallucination Rate33.7%
Artificial AnalysisClaude Opus 5.5 (High, Default Fallback) Intelligence Index51,7
Artificial AnalysisClaude Opus 5.5 (High, Default Fallback) HLE55.6%
Artificial AnalysisClaude Opus 5.5 (High, Default Fallback) AA-LCR82.7%
Artificial AnalysisClaude Opus 5.5 (High, Default Fallback) GDPval-AA60.7%
Artificial AnalysisClaude Opus 5.5 (High, Default Fallback) CritPt30.9%
Artificial AnalysisClaude Opus 5.5 (High, Default Fallback) SciCode60.4%
Artificial AnalysisClaude Opus 5.5 (High, Default Fallback) Terminal-Bench 4.056.6%
Artificial AnalysisClaude Opus 5.5 (High, Default Fallback) AA-Omniscience Accuracy64.8%
Artificial AnalysisClaude Opus 5.5 (High, Default Fallback) AA-Omniscience Non-Hallucination Rate36.1%
Artificial AnalysisClaude Opus 5.5 (Xhigh, Default Fallback) Intelligence Index57,0
Artificial AnalysisClaude Opus 5.5 (Xhigh, Default Fallback) HLE57.5%
Artificial AnalysisClaude Opus 5.5 (Xhigh, Default Fallback) AA-LCR84.7%
Artificial AnalysisClaude Opus 5.5 (Xhigh, Default Fallback) GDPval-AA66.8%
Artificial AnalysisClaude Opus 5.5 (Xhigh, Default Fallback) CritPt31.7%
Artificial AnalysisClaude Opus 5.5 (Xhigh, Default Fallback) SciCode65.0%
Artificial AnalysisClaude Opus 5.5 (Xhigh, Default Fallback) Terminal-Bench 4.059.6%
Artificial AnalysisClaude Opus 5.5 (Xhigh, Default Fallback) AA-Omniscience Accuracy65.5%
Artificial AnalysisClaude Opus 5.5 (Xhigh, Default Fallback) AA-Omniscience Non-Hallucination Rate35.0%
Artificial AnalysisClaude Opus 5.5 (Max, Default Fallback) Intelligence Index58,4
Artificial AnalysisClaude Opus 5.5 (Max, Default Fallback) HLE61.4%
Artificial AnalysisClaude Opus 5.5 (Max, Default Fallback) AA-LCR84.7%
Artificial AnalysisClaude Opus 5.5 (Max, Default Fallback) GDPval-AA68.3%
Artificial AnalysisClaude Opus 5.5 (Max, Default Fallback) CritPt31.7%
Artificial AnalysisClaude Opus 5.5 (Max, Default Fallback) SciCode66.9%
Artificial AnalysisClaude Opus 5.5 (Max, Default Fallback) Terminal-Bench 4.059.6%
Artificial AnalysisClaude Opus 5.5 (Max, Default Fallback) AA-Omniscience Accuracy65.5%
Artificial AnalysisClaude Opus 5.5 (Max, Default Fallback) AA-Omniscience Non-Hallucination Rate49.7%
Design ArenaClaude Opus 5.5 Agents Arena Blender3d Elo1281
Design ArenaClaude Opus 5.5 Agents Arena Codetovideo Elo1359
Design ArenaClaude Opus 5.5 Agents Arena Mobile Apps Elo1309
Design ArenaClaude Opus 5.5 Agents Arena Pdf Elo1334
Design ArenaClaude Opus 5.5 Agents Arena Spreadsheet Elo1394
Design ArenaClaude Opus 5.5 Agents Arena Webapps Elo1307
Design ArenaClaude Opus 5.5 Models Arena 3D Elo1471
Design ArenaClaude Opus 5.5 Models Arena Asciiart Elo1354
Design ArenaClaude Opus 5.5 Models Arena Code Categories Elo1385
Design ArenaClaude Opus 5.5 Models Arena Data Visualization Elo1394
Design ArenaClaude Opus 5.5 Models Arena Game Development Elo1435
Design ArenaClaude Opus 5.5 Models Arena SVG Elo1323
Design ArenaClaude Opus 5.5 Models Arena UI Component Elo1378
Design ArenaClaude Opus 5.5 Models Arena Website Elo1325
Vals AIClaude Opus 5.5 BioMysteryBench79.3%
Vals AIClaude Opus 5.5 ClaimBench100.0%
Vals AIClaude Opus 5.5 Code Migration v1.181.0%
Vals AIClaude Opus 5.5 CyberBench v1.155.4%
Vals AIClaude Opus 5.5 EMB v1.175.8%
Vals AIClaude Opus 5.5 Finance Agent v2.167.8%
Vals AIClaude Opus 5.5 Vals Finance Index65.6%
Vals AIClaude Opus 5.5 HLAB-Vals-1.19.2%
Vals AIClaude Opus 5.5 Immigration72.1%
Vals AIClaude Opus 5.5 IOI95.1%
Vals AIClaude Opus 5.5 Vals Legal Index72.3%
Vals AIClaude Opus 5.5 Legal Research Bench50.5%
Vals AIClaude Opus 5.5 MedCode49.8%
Vals AIClaude Opus 5.5 MedScribe91.4%
Vals AIClaude Opus 5.5 MysteryMechanism49.5%
Vals AIClaude Opus 5.5 ProgramBench18.5%
Vals AIClaude Opus 5.5 ProofBench v1.1100.0%
Vals AIClaude Opus 5.5 Public Benefits Bench v1.170.6%
Vals AIClaude Opus 5.5 Robo-bench14.6%
Vals AIClaude Opus 5.5 Vals RSI Index37.3%
Vals AIClaude Opus 5.5 SAGE91.3%
Vals AIClaude Opus 5.5 Vals Science Index58.7%
Vals AIClaude Opus 5.5 SRE Bench33.6%
Vals AIClaude Opus 5.5 SWE-bench Multimodal70.2%
Vals AIClaude Opus 5.5 Tax Agent Bench45.6%
Vals AIClaude Opus 5.5 Terminal-Bench 4.065.2%
Vals AIClaude Opus 5.5 Terminal-Bench-Science47.1%
Vals AIClaude Opus 5.5 Vals Index70.2%
Vals AIClaude Opus 5.5 Vibe Code Bench 1-10030.4%
Vals AIClaude Opus 5.5 Vibe Code Bench v1.190.3%

Aplicativos

Aplicativos públicos que enviam mais tráfego para este modelo. Um bom indicador de como são as cargas de trabalho reais em produção — e uma pista sobre os casos de uso para os quais este modelo é mais adequado.

Atividade

Volume de tokens e tráfego de requisições para este modelo ao longo do tempo.

API

Código pronto para chamar este modelo. A API do OpenRouter é compatível com a OpenAI — a maioria dos SDKs funciona apenas trocando a URL base. A única coisa que muda entre os modelos é o slug do modelo abaixo.

Versões de Anthropic: Claude Opus

Atualmente indisponível por meio do roteamento intrarregional da UE. Documentação de roteamento na região

Documentação

Guias, receitas práticas, publicações de blog e ferramentas para desenvolver com Anthropic: Claude Opus 5.5 (batch) na OpenRouter.

  • Claude 5.5 Migration GuideGuia de receitas
  • Claude Opus vs Sonnet vs Haiku: Which Should You Use?Publicação no blog
  • How Much Does Claude Code Cost? Real Session Costs by ModelPublicação no blog
  • Hit Your Claude Code Usage Limit? How to Keep CodingPublicação no blog
  • Claude 529 Overloaded: What It Means and How to Fix ItPublicação no blog

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Avaliações de desempenho do AutoExacto
GPQA DiamondTAU-BenchAmazon Bedrock90,0%76,7%Claude Platform on AWS89,8%76,1%Azure90,3%75,4%auto-routing90,1%75,6%Google Vertex90,0%75,7%Azure89,7%75,8%Amazon Bedrock89,9%75,5%Amazon Bedrock90,4%74,6%Google Vertex89,9%74,7%Google Vertex89,9%73,7%
+1 provedores adicionais

Ainda não há dados de disponibilidade suficientes para exibição.

Quando ocorre um erro em um provedor upstream, podemos nos recuperar roteando para outro provedor saudável, se os filtros da sua solicitação permitirem. Você pode acessar os dados de disponibilidade por provedor de forma programática pela API de endpoints. Saiba mais sobre nossas opções de balanceamento de carga e roteamento de provedores.

Ainda não há dados suficientes sobre aplicativos que usam este modelo.

Perguntas frequentes

Claude Opus 5.5 is Anthropic's flagship model for demanding reasoning, coding, and long-horizon agentic work, succeeding Claude Opus 5. It is particularly strong at multi-step changes in large codebases, code review and bug finding, financial and scientific analysis, and reading dense charts, diagrams, and screenshots, and it is more careful than its predecessor about only stating figures and...

A documentação de Claude Opus 5.5 (batch) no OpenRouter inclui o guia de exemplos Claude 5.5 Migration Guide, a publicação Claude Opus vs Sonnet vs Haiku: Which Should You Use? no blog, a publicação How Much Does Claude Code Cost? Real Session Costs by Model no blog, a publicação Hit Your Claude Code Usage Limit? How to Keep Coding no blog e a publicação Claude 529 Overloaded: What It Means and How to Fix It no blog. O guia de início rápido aborda chaves de API e sua primeira requisição, e a referência da API lista todos os parâmetros.

Claude Opus 5.5 (batch) custa US$ 2,00/M de tokens de entrada e US$ 10,00/M de tokens de saída, com taxas separadas para Cache Read por US$ 0,10/M tokens, Cache Write por US$ 2,50/M tokens, Cache Write (1h) por US$ 4,00/M tokens e Web Search por US$ 10,00/1K calls.

Claude Opus 5.5 (batch) tem uma janela de contexto de 1.000.000 tokens. Ele aceita até 128.000 tokens de conclusão.

Sim. Claude Opus 5.5 (batch) aceita tools e tool_choice para chamadas de função. Também oferece suporte a saídas estruturadas por meio de um esquema JSON em response_format.

Claude Opus 5.5 (batch) aceita texto, imagens e arquivos como PDFs como entrada e retorna texto.

Claude Haiku 5.5, Claude Sonnet 5.5, Claude Fable 5.1 e mais 11 são outros modelos de texto de Anthropic.

Claude Opus 5.5 (batch) foi lançado em 22 de setembro de 2026.

Mais modelos de Anthropic

Claude Haiku 5.5

Claude Haiku 5.5 is Anthropic's small, fast model for high-volume, cost-sensitive work such as summarization, subagents, and browser use. It succeeds Claude Haiku 4.5 with stronger coding, computer use, and knowledge work, and accepts text and image input with a 1M-token context window.

It is the first Haiku model with adjustable effort. Thinking is adaptive and on by default, with effort as the main lever for trading off depth, latency, and cost; it can be turned off at low, medium, and high effort.

TextoContexto de 1MUS$ 0,10 / US$ 0,50
Claude Haiku 5.5 (batch)

Claude Haiku 5.5 is Anthropic's small, fast model for high-volume, cost-sensitive work such as summarization, subagents, and browser use. It succeeds Claude Haiku 4.5 with stronger coding, computer use, and knowledge work, and accepts text and image input with a 1M-token context window.

It is the first Haiku model with adjustable effort. Thinking is adaptive and on by default, with effort as the main lever for trading off depth, latency, and cost; it can be turned off at low, medium, and high effort.

TextoContexto de 1MUS$ 0,05 / US$ 0,25
Claude Sonnet 5.5

Claude Sonnet 5.5 is Anthropic's Sonnet-class model for well-scoped everyday work, succeeding Claude Sonnet 5 as a direct upgrade. It is especially strong at building features, fixing bugs, and producing polished documents, slides, and spreadsheets, and it writes and communicates more clearly than its predecessor.

Thinking is always on, so effort is the main lever for trading off depth, latency, and cost, and lower effort settings keep it responsive for everyday agentic loops.

TextoContexto de 1MUS$ 2 / US$ 10
Claude Sonnet 5.5 (batch)

Claude Sonnet 5.5 is Anthropic's Sonnet-class model for well-scoped everyday work, succeeding Claude Sonnet 5 as a direct upgrade. It is especially strong at building features, fixing bugs, and producing polished documents, slides, and spreadsheets, and it writes and communicates more clearly than its predecessor.

Thinking is always on, so effort is the main lever for trading off depth, latency, and cost, and lower effort settings keep it responsive for everyday agentic loops.

TextoContexto de 1MUS$ 1 / US$ 5
Claude Opus 5.5

Claude Opus 5.5 is Anthropic's flagship model for demanding reasoning, coding, and long-horizon agentic work, succeeding Claude Opus 5. It is particularly strong at multi-step changes in large codebases, code review and bug finding, financial and scientific analysis, and reading dense charts, diagrams, and screenshots, and it is more careful than its predecessor about only stating figures and citing sources it can back up.

The model completes comparable tasks in fewer steps and with fewer tokens than Opus 5, and reports on its work in plainer language, with clear updates on what it did, what it found, and what it needs from the user. Thinking is always adaptive, so effort is the main lever for trading off depth, latency, and cost, and lower effort settings remain effective for latency-sensitive workloads.

TextoContexto de 1MUS$ 4 / US$ 20
Claude Opus 5.5 (batch)

Claude Opus 5.5 is Anthropic's flagship model for demanding reasoning, coding, and long-horizon agentic work, succeeding Claude Opus 5. It is particularly strong at multi-step changes in large codebases, code review and bug finding, financial and scientific analysis, and reading dense charts, diagrams, and screenshots, and it is more careful than its predecessor about only stating figures and citing sources it can back up.

The model completes comparable tasks in fewer steps and with fewer tokens than Opus 5, and reports on its work in plainer language, with clear updates on what it did, what it found, and what it needs from the user. Thinking is always adaptive, so effort is the main lever for trading off depth, latency, and cost, and lower effort settings remain effective for latency-sensitive workloads.

TextoContexto de 1MUS$ 2 / US$ 10
Claude Fable 5.1

Claude Fable 5.1 improves on Claude Fable 5 across the board, with the biggest gains in agentic coding, long-running agentic workflows, and knowledge work: long code refactors, front-end and visual code generation, and finance and analysis tasks in particular. It also tends to be more concise than Fable 5 in its plans and summaries. We recommend testing it as a direct upgrade wherever you use Fable 5 today, and alongside Opus 5 on reasoning-heavy tasks.

TextoContexto de 1MUS$ 10 / US$ 50
Claude Fable 5.1 (batch)

Claude Fable 5.1 improves on Claude Fable 5 across the board, with the biggest gains in agentic coding, long-running agentic workflows, and knowledge work: long code refactors, front-end and visual code generation, and finance and analysis tasks in particular. It also tends to be more concise than Fable 5 in its plans and summaries. We recommend testing it as a direct upgrade wherever you use Fable 5 today, and alongside Opus 5 on reasoning-heavy tasks.

TextoContexto de 1MUS$ 5 / US$ 25
Claude Opus 5

Fast-mode variant of Opus 5 - identical capabilities with higher output speed at 2x pricing relative to regular Opus 5.

Learn more in Anthropic's docs: https://platform.claude.com/docs/en/build-with-claude/fast-mode

Note: As of September 1, 2026, this dedicated fast model is deprecated. Fast mode is now served by the fast service tier endpoint on Claude Opus 5 — request it with service_tier: "fast" or speed: "fast". Requests to this model keep working and are served by the same fast tier capacity, so no action is required, but new integrations should target the regular model. Learn more in our service tier docs: https://openrouter.ai/docs/guides/features/service-tiers

TextoContexto de 1M
Claude Opus 5

Claude Opus 5 is Anthropic’s flagship model for demanding reasoning, coding, and long-horizon agentic work. It is particularly strong at end-to-end software tasks, code review and bug finding, visual analysis of charts and documents, complex office deliverables, and coordinating parallel subagents.

The model maintains strong instruction following and tool use across extended tasks, while remaining effective at lower effort settings for workloads that prioritize latency and token efficiency.

TextoContexto de 1MUS$ 5 / US$ 25
Claude Opus 5 (batch)

Claude Opus 5 is Anthropic’s flagship model for demanding reasoning, coding, and long-horizon agentic work. It is particularly strong at end-to-end software tasks, code review and bug finding, visual analysis of charts and documents, complex office deliverables, and coordinating parallel subagents.

The model maintains strong instruction following and tool use across extended tasks, while remaining effective at lower effort settings for workloads that prioritize latency and token efficiency.

TextoContexto de 1MUS$ 2,50 / US$ 12,50
Claude Sonnet 5

Sonnet 5 is Anthropic's most capable Sonnet-class model, with frontier performance across coding, agents, and professional work. It supports adaptive thinking with selectable reasoning effort levels (low, medium, high, max, and x-high), a 1M-token context window, and text, image, and file inputs. Sonnet 5 uses an updated tokenizer and includes real-time cyber safeguards that block certain high-risk dual-use activities.

TextoContexto de 1MUS$ 2 / US$ 10
Claude Sonnet 5 (batch)

Sonnet 5 is Anthropic's most capable Sonnet-class model, with frontier performance across coding, agents, and professional work. It supports adaptive thinking with selectable reasoning effort levels (low, medium, high, max, and x-high), a 1M-token context window, and text, image, and file inputs. Sonnet 5 uses an updated tokenizer and includes real-time cyber safeguards that block certain high-risk dual-use activities.

TextoContexto de 1MUS$ 1 / US$ 5
Claude Fable Latest

This model always redirects to the latest model in the Claude Fable family.

TextoContexto de 1M
Claude Fable 5

Claude Fable 5 is a Mythos-class model from Anthropic, built for autonomous knowledge work and coding. It supports text, image, and file inputs with text output, with reasoning support and a 1M-token context window. It is suited for long-running, complex, and asynchronous tasks that previously required frequent human check-ins.

It is particularly strong at end-to-end work that would otherwise take a person hours, days, or weeks - taking on problems that are long-running, ambiguous, or highly multi-step. It executes well-scoped tasks with few mistakes, automatically self-correcting through verification loops, and ships with robust safeguards.

TextoContexto de 1MUS$ 10 / US$ 50
Claude Fable 5 (batch)

Claude Fable 5 is a Mythos-class model from Anthropic, built for autonomous knowledge work and coding. It supports text, image, and file inputs with text output, with reasoning support and a 1M-token context window. It is suited for long-running, complex, and asynchronous tasks that previously required frequent human check-ins.

It is particularly strong at end-to-end work that would otherwise take a person hours, days, or weeks - taking on problems that are long-running, ambiguous, or highly multi-step. It executes well-scoped tasks with few mistakes, automatically self-correcting through verification loops, and ships with robust safeguards.

TextoContexto de 1MUS$ 5 / US$ 25
Claude Opus 4.8

Fast-mode variant of Opus 4.8 - identical capabilities with higher output speed at 2x pricing relative to regular Opus 4.8.

Learn more in Anthropic's docs: https://platform.claude.com/docs/en/build-with-claude/fast-mode

Note: As of September 1, 2026, this dedicated fast model is deprecated. Fast mode is now served by the fast service tier endpoint on Claude Opus 4.8 — request it with service_tier: "fast" or speed: "fast". Requests to this model keep working and are served by the same fast tier capacity, so no action is required, but new integrations should target the regular model. Learn more in our service tier docs: https://openrouter.ai/docs/guides/features/service-tiers

TextoContexto de 1M
Claude Opus 4.8

Claude Opus 4.8 is Anthropic's most capable generally available model in the Opus family. It supports text, image, and file inputs with text output, with reasoning support and a 1M-token context window. It is suited for highly autonomous agents, long-horizon agentic work, knowledge work, and memory-driven tasks where coherence over extended sessions matters.

It is particularly strong on multi-step reasoning, complex coding, and end-to-end project orchestration - large codebases, multi-stage debugging, and long-running asynchronous agent pipelines. Beyond coding, it handles knowledge work such as drafting documents, building presentations, and analyzing data, maintaining quality across very long outputs.

TextoContexto de 1MUS$ 5 / US$ 25
Claude Opus 4.8 (batch)

Claude Opus 4.8 is Anthropic's most capable generally available model in the Opus family. It supports text, image, and file inputs with text output, with reasoning support and a 1M-token context window. It is suited for highly autonomous agents, long-horizon agentic work, knowledge work, and memory-driven tasks where coherence over extended sessions matters.

It is particularly strong on multi-step reasoning, complex coding, and end-to-end project orchestration - large codebases, multi-stage debugging, and long-running asynchronous agent pipelines. Beyond coding, it handles knowledge work such as drafting documents, building presentations, and analyzing data, maintaining quality across very long outputs.

TextoContexto de 1MUS$ 2,50 / US$ 12,50
Claude Opus 4.7

Fast-mode variant of Opus 4.7 - identical capabilities with higher output speed at premium 6x pricing.

Learn more in Anthropic's docs: https://platform.claude.com/docs/en/build-with-claude/fast-mode

TextoContexto de 1M