anthropic
Anthropic: Claude Opus 5.5 (batch)
anthropic/claude-opus-5.5:batch
Our take
AI-assisted analysis based on the sources below. Suitability is an editorial assessment; test it on your own workload.
OpenRouter's catalog describes anthropic/claude-opus-5.5:batch as Anthropic's flagship successor to Claude Opus 5 for demanding reasoning, coding, and long-horizon agentic work. The entry lists text, image, and file inputs with text output, a large context window, mandatory reasoning with selectable effort, and support for tools and structured outputs. It also reports arena and intelligence-index measurements across coding, design, document, app-building, and other categories. These are catalog-reported findings, not workload guarantees. An independent model card was not available in this source pack.[1]
Strengths
- The catalog positions it for demanding reasoning, coding, and long-horizon agentic work, and describes it as particularly strong at multi-step changes in large codebases.[1]
- Text, image, and file inputs are listed, with text output and a large context window.[1]
- Reasoning is mandatory, with multiple effort settings, and the catalog lists tool use, structured outputs, response formatting, stop sequences, and verbosity controls.[1]
Limitations
- All supplied evidence comes from OpenRouter's catalog; an independent model card was not available, so provider claims and measurements need corroboration.[1]
- The source does not explain what anthropic/claude-opus-5.5:batch changes relative to other variants, and it leaves the knowledge cutoff, licensing, safety behavior, availability, and operating constraints unstated.[1]
- Reported arena and index measurements cover selected categories and may not predict results on a given workload; validate with representative tasks before adoption.[1]
Where to use it
- Evaluate for complex code maintenance or agentic projects where configurable reasoning effort and tool use are relevant.[1]
- Pilot multimodal document or file-analysis workflows that require text output, comparing quality against your own acceptance criteria.[1]
- Consider controlled trials in web or app creation, data visualization, spreadsheets, PDFs, 3D, or game development, the categories covered by the catalog's arena measurements.[1]
Sources
- [1] OpenRouter catalog · Anthropic: Claude Opus 5.5 (batch)Sources checked: Nov 13, 2026
About this model
Description below is the original text supplied by OpenRouter, shown in the source language.
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...
Specifications
- Model ID
- anthropic/claude-opus-5.5:batch
- Canonical ID
- anthropic/claude-opus-5.5-20260921
- Creator
- anthropic
- Added to OpenRouter
- 22.09.2026
- 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 / out $10
- 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.
| Task | Grade | Source-declared capability |
|---|---|---|
| General quality | SS — top 10% of the cohort | reasoning: mandatory · default high · efforts: max, xhigh, high, medium, low · parameters: include_reasoning, reasoning, reasoning_effort |
| Coding | No measurement | — |
| Agents | No measurement | parameters: structured_outputs, tool_choice, tools |
| Writing | No measurement | output: text |
| Reasoning | No measurement | reasoning: mandatory · default high · efforts: max, xhigh, high, medium, low · parameters: include_reasoning, reasoning, reasoning_effort |
| Document analysis | No measurement | input: file |
| Vision | No measurement | input: image |
| Image generation | No measurement | — |
| Audio | No measurement | — |
| Video | No measurement | — |
| Embeddings | No measurement | — |
Evaluations
| Source | Benchmark | Value | Grade | Data retrieved |
|---|---|---|---|---|
| Artificial Analysis | Intelligence index | 59.1 | SS — top 10% of the cohort | 13.11.2026 |
| Design Arena | agents · androidnativewin rate 76.3% · rank 1 | 1,397Elo | SS — top 10% of the cohort | 13.11.2026 |
| Design Arena | agents · blender3dwin rate 57.2% · rank 4 | 1,255Elo | AA — next 20% of the cohort | 13.11.2026 |
| Design Arena | agents · codetovideowin rate 73.8% · rank 1 | 1,341Elo | SS — top 10% of the cohort | 13.11.2026 |
| Design Arena | agents · fullstackwin rate 70.8% · rank 1 | 1,392Elo | SS — top 10% of the cohort | 13.11.2026 |
| Design Arena | agents · mobileappswin rate 61.6% · rank 3 | 1,296Elo | SS — top 10% of the cohort | 13.11.2026 |
| Design Arena | agents · pdfwin rate 68.4% · rank 2 | 1,309Elo | SS — top 10% of the cohort | 13.11.2026 |
| Design Arena | agents · spreadsheetwin rate 68% · rank 2 | 1,392Elo | SS — top 10% of the cohort | 13.11.2026 |
| Design Arena | agents · webappswin rate 62.7% · rank 1 | 1,320Elo | SS — top 10% of the cohort | 13.11.2026 |
| Design Arena | models · 3dwin rate 65.2% · rank 2 | 1,464Elo | SS — top 10% of the cohort | 13.11.2026 |
| Design Arena | models · asciiartwin rate 64.3% · rank 2 | 1,354Elo | SS — top 10% of the cohort | 13.11.2026 |
| Design Arena | models · codecategorieswin rate 60.8% · rank 2 | 1,385Elo | SS — top 10% of the cohort | 13.11.2026 |
| Design Arena | models · datavizwin rate 63.9% · rank 1 | 1,388Elo | SS — top 10% of the cohort | 13.11.2026 |
| Design Arena | models · gamedevwin rate 63.7% · rank 1 | 1,428Elo | SS — top 10% of the cohort | 13.11.2026 |
| Design Arena | models · svgwin rate 53.6% · rank 3 | 1,321Elo | SS — top 10% of the cohort | 13.11.2026 |
| Design Arena | models · uicomponentwin rate 63.4% · rank 3 | 1,379Elo | SS — top 10% of the cohort | 13.11.2026 |
| Design Arena | models · websitewin rate 55.3% · rank 5 | 1,325Elo | SS — top 10% of the cohort | 13.11.2026 |
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.
| Provider | Context length | Price in /1M | Price out /1M | Latency p50 (30m, s) | Throughput p50 (30m, tok/s) | Uptime (30m) |
|---|---|---|---|---|---|---|
| Anthropic | 1,000,000 | $2 | $10 | — | — | — |
Provider data retrieved: 13.11.2026
Related articles
No published articles identify this model yet.