That's NeuralModel catalog

anthropic

Anthropic: Claude Opus 4.7 (batch)

anthropic/claude-opus-4.7:batch

Our take

AI-assisted analysis based on the sources below. Suitability is an editorial assessment; test it on your own workload.

OpenRouter catalogs anthropic/claude-opus-4.7:batch as an Anthropic Claude Opus 4.7 batch variant for text, image, and file inputs with text output. The catalog describes Opus 4.7 as aimed at extended asynchronous agent workloads and lists tool use, structured outputs, response formatting, and optional controllable reasoning. It also reports a very large context window and limited third-party benchmark fields. No independent model card was available in this source pack, so capabilities and fit should be validated on real workloads.[1]

Strengths

  • Cataloged with text, image, and file inputs, plus text output.[1]
  • Optional reasoning modes, tool use, structured outputs, and response controls are listed.[1]
  • The catalog positions this variant for extended asynchronous agent workloads and reports a very large context window.[1]

Limitations

  • Evidence is catalog-only; no independent model card was supplied, so real workload validation is needed.[1]
  • Only text output is listed; image, audio, and other output modalities are not shown.[1]
  • Batch semantics, latency, knowledge cutoff, safety behavior, and benchmark coverage remain unclear in this source pack.[1]

Where to use it

  • Consider for queued document, image, or file processing where text output is sufficient.[1]
  • Consider prototyping coding or agent workflows that combine tools, reasoning controls, and structured responses.[1]
  • Consider for long-context synthesis tasks after confirming batch behavior, cost, and quality on representative inputs.[1]

Sources

  1. [1] OpenRouter catalog · Anthropic: Claude Opus 4.7 (batch)Sources checked: Nov 13, 2026

About this model

Description below is the original text supplied by OpenRouter, shown in the source language.

Opus 4.7 is the next generation of Anthropic's Opus family, built for long-running, asynchronous agents. Building on the coding and agentic strengths of Opus 4.6, it delivers stronger performance on...

Specifications

Model ID
anthropic/claude-opus-4.7:batch
Canonical ID
anthropic/claude-4.7-opus-20260416
Creator
anthropic
Added to OpenRouter
16.04.2026
Context length
1,000,000
Modality
text+image+file->text
Input modalities
text, image, file
Output modalities
text
Token pricing
USD per 1M tokens: in $2.5 / out $12.5
Knowledge cutoff
—
Expiration date
—

Tasks and capabilities

A grade appears only where the source supplies a matching measurement for that task, the model is active and the cohort holds at least 10 comparable models. The capability column lists facts the source declares — supported formats, reasoning and tool parameters — which are not measured quality.

TaskGradeSource-declared capability
General qualityNo measurementreasoning: optional · default high · efforts: max, xhigh, high, medium, low, none · parameters: include_reasoning, reasoning, reasoning_effort
CodingAA — next 20% of the cohort—
AgentsAA — next 20% of the cohortparameters: structured_outputs, tool_choice, tools
WritingNo measurementoutput: text
ReasoningNo measurementreasoning: optional · default high · efforts: max, xhigh, high, medium, low, none · parameters: include_reasoning, reasoning, reasoning_effort
Document analysisNo measurementinput: file
VisionNo measurementinput: image
Image generationNo measurement—
AudioNo measurement—
VideoNo measurement—
EmbeddingsNo measurement—

Evaluations

SourceBenchmarkValueGradeData retrieved
Artificial AnalysisCoding index73.6AA — next 20% of the cohort13.11.2026
Artificial AnalysisAgentic index38.6AA — next 20% of the cohort13.11.2026
How grades work

Each letter grade compares a model only against other models scored by the same source and metric in the current snapshot. S means the top 10%, A the next 20%, B the next 30%, C the rest. Models without a published measurement are shown as not rated — a supported format alone never implies measured quality.

  • S — S — top 10% of the cohort
  • A — A — next 20% of the cohort
  • B — B — next 30% of the cohort
  • C — C — below the B band

Providers

Optional live provider statistics from OpenRouter. Missing values are unknown, not zero.

ProviderContext lengthPrice in /1MPrice out /1MLatency p50 (30m, s)Throughput p50 (30m, tok/s)Uptime (30m)
Anthropic1,000,000$2.5$12.5———

Provider data retrieved: 13.11.2026

No published articles identify this model yet.