# Anthropic: claude-opus-4-7 - Model ID: `claude-opus-4-7` - Provider: Anthropic - Web version: https://www.moleapi.com/en/models/anthropic/claude-opus-4-7 - Content status: verified ## Model introduction Claude Opus 4.7 is Anthropic's high-capability model for complex software engineering, multi-step agents, and high-resolution visual documents, with 1M context and task budgets. ## Model capabilities - OpenAI compatible - Anthropic compatible - Prompt cache - Reasoning ### Verified specifications - Official positioning: Complex coding, agents, and visual professional work - Context window: 1,000,000 tokens - Maximum output: 128,000 tokens - Verified capabilities: Adaptive thinking, task budgets, tools, high-resolution vision ## Model pricing and access Pricing is supplied dynamically by the MoleAPI console API. ### Standard (default, x1) - Input: $5 / 1M tokens - Output: $25 / 1M tokens - Cache read: $0.5 / 1M tokens - Cache write: $6.25 / 1M tokens ### Discount (discount, x0.8) - Input: $4 / 1M tokens - Output: $20 / 1M tokens - Cache read: $0.4 / 1M tokens - Cache write: $5 / 1M tokens ### Relay (relay, x0.3) - Input: $1.5 / 1M tokens - Output: $7.5 / 1M tokens - Cache read: $0.15 / 1M tokens - Cache write: $1.875 / 1M tokens ### Access protocols | Protocol | Method | Endpoint | | --- | --- | --- | | anthropic | POST | /v1/messages | | openai | POST | /v1/chat/completions | - Live pricing source: https://home.moleapi.com/api/pricing ## About claude-opus-4-7 Claude Opus 4.7 is Anthropic's high-capability model for complex software engineering, multi-step agents, and high-resolution visual documents, with 1M context and task budgets. ### Best for Large refactors, long-running coding agents, multi-tool business workflows, and technical diagram or visual-document analysis. ### Core strengths - A 1M context window and 128K output suit full repositories and research corpora. - Strengthens software engineering, vision, and multi-step tool orchestration. - Task budgets and xhigh effort provide finer control over task investment. ### Limitations - High effort and long agent loops consume more tokens, cost, and time. - Audio and video are not native inputs; network access and external actions need tools. ### Selection and production evaluation Start a claude-opus-4-7 evaluation by mapping its official positioning to real work: Large refactors, long-running coding agents, multi-tool business workflows, and technical diagram or visual-document analysis. The first pass should exercise both its main strength, "A 1M context window and 128K output suit full repositories and research corpora.", and its known limitation, "High effort and long agent loops consume more tokens, cost, and time.", instead of relying on a single subjective general-chat comparison. For access, MoleAPI currently lists anthropic, openai protocols and the Standard, Discount, Relay billing groups for this Anthropic model; the default price summary is Input $5 / 1M tokens · Output $25 / 1M tokens. Pricing, protocols, and groups come from the live catalog, so production planning should still price representative requests using real context length, output size, and cache-hit assumptions. No independent ranking is shown unless it matches this exact model ID and reasoning profile, so nearby variants are not used as a proxy. Before launch, pin the model ID, prompt, and sample set, then compare task accuracy, structured-output validity, tool-call success, and timeout rates under the same conditions. The model material on this page was last checked on 2026-07-24. When upstream model cards, context limits, or tool support change, update the cited bilingual facts before changing the recommendation; live MoleAPI price changes remain separate and update from the catalog automatically. ### Sources - [B.AI Claude Opus 4.7 model guide](https://docs.b.ai/llmservice/models/claude-opus-4-7/) — B.AI - [Anthropic Claude model card resources](https://platform.claude.com/docs/en/resources/overview) — Anthropic - Last verified: 2026-07-24 ## Code examples ### cURL ```bash curl https://api.moleapi.com/v1/chat/completions \ -H "Authorization: Bearer $MOLEAPI_API_KEY" \ -H "Content-Type: application/json" \ -d '{"model":"claude-opus-4-7","messages":[{"role":"user","content":"Hello"}]}' ``` ## More related models - [claude-fable-5](https://www.moleapi.com/en/models/anthropic/claude-fable-5) — Anthropic - [claude-opus-5](https://www.moleapi.com/en/models/anthropic/claude-opus-5) — Anthropic - [claude-sonnet-5](https://www.moleapi.com/en/models/anthropic/claude-sonnet-5) — Anthropic - [gpt-5.6-luna](https://www.moleapi.com/en/models/openai/gpt-5.6-luna) — OpenAI - [gpt-5.6-sol](https://www.moleapi.com/en/models/openai/gpt-5.6-sol) — OpenAI - [gpt-5.6-terra](https://www.moleapi.com/en/models/openai/gpt-5.6-terra) — OpenAI ## Frequently asked questions ### How is claude-opus-4-7 priced? Prices are read from the MoleAPI console API and update with model prices, context tiers, and account groups. ### How can I access claude-opus-4-7? The catalog currently lists anthropic, openai. ### How do I switch an existing project to claude-opus-4-7? Keep the MoleAPI API address and key, replace the model parameter, and check protocol-specific parameters. ### Where do the claude-opus-4-7 details come from? Capabilities and limitations are checked against B.AI and the other cited pages; pricing and protocols come from the MoleAPI console.