anthropic
Anthropic: Claude Sonnet 5.5 (batch)
anthropic/claude-sonnet-5.5:batch
Our take
AI-assisted analysis based on the sources below. Suitability is an editorial assessment; test it on your own workload.
According to OpenRouter's catalog, anthropic/claude-sonnet-5.5:batch is the batch variant of Anthropic's Claude Sonnet 5.5, positioned as a Sonnet-class model for well-scoped everyday work and a direct successor to Claude Sonnet 5. The catalog lists text, image, and file inputs with text output, a one-million-token context window, mandatory reasoning with five effort levels, and support for tools and structured outputs. No independent model card was available in this source pack, so these capabilities are catalog-reported rather than independently verified.[1]
Strengths
- The catalog lists a one-million-token context window, which could suit large documents or long codebases.[1]
- Five adjustable reasoning-effort levels are reported, from low to max, offering tunable depth per request.[1]
- Tool calling, structured outputs, and multimodal inputs (text, image, file) are listed among the supported parameters and modalities.[1]
Limitations
- Evidence comes solely from OpenRouter's catalog; no independent model card was in this source pack, so capabilities should be validated on real workloads before adoption.[1]
- Reasoning is mandatory and cannot be disabled, with high as the catalog's default effort level.[1]
- Output is text-only and the knowledge cutoff is not listed; arena benchmark entries exist in the catalog but without methodology details.[1]
Where to use it
- Everyday software work such as building features and fixing bugs, per the catalog's own description; suitability should be confirmed per workload.[1]
- Multimodal analysis that produces text from documents or images, given the listed input modalities.[1]
- Tool-using or structured-output pipelines; the batch label suggests non-interactive bulk jobs may be a fit, though the catalog does not document batch-specific behavior.[1]
Sources
- [1] OpenRouter catalog · Anthropic: Claude Sonnet 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 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...
Specifications
- Model ID
- anthropic/claude-sonnet-5.5:batch
- Canonical ID
- anthropic/claude-sonnet-5.5-20260928
- Creator
- anthropic
- Added to OpenRouter
- 28.09.2026
- 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 $1 / out $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.
| 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 | 54.5 | SS — top 10% of the cohort | 13.11.2026 |
| Design Arena | agents · androidnativewin rate 58.6% · rank 6 | 1,260Elo | AA — next 20% of the cohort | 13.11.2026 |
| Design Arena | agents · blender3dwin rate 59.9% · rank 3 | 1,268Elo | SS — top 10% of the cohort | 13.11.2026 |
| Design Arena | agents · codetovideowin rate 70.9% · rank 2 | 1,318Elo | SS — top 10% of the cohort | 13.11.2026 |
| Design Arena | agents · mobileappswin rate 57.6% · rank 5 | 1,261Elo | SS — top 10% of the cohort | 13.11.2026 |
| Design Arena | agents · pdfwin rate 59.1% · rank 9 | 1,238Elo | AA — next 20% of the cohort | 13.11.2026 |
| Design Arena | agents · spreadsheetwin rate 53.6% · rank 7 | 1,287Elo | AA — next 20% of the cohort | 13.11.2026 |
| Design Arena | agents · webappswin rate 58.5% · rank 4 | 1,284Elo | SS — top 10% of the cohort | 13.11.2026 |
| Design Arena | models · 3dwin rate 54.7% · rank 7 | 1,402Elo | SS — top 10% of the cohort | 13.11.2026 |
| Design Arena | models · codecategorieswin rate 56% · rank 8 | 1,347Elo | SS — top 10% of the cohort | 13.11.2026 |
| Design Arena | models · datavizwin rate 64.3% · rank 3 | 1,360Elo | SS — top 10% of the cohort | 13.11.2026 |
| Design Arena | models · gamedevwin rate 59.9% · rank 6 | 1,391Elo | SS — top 10% of the cohort | 13.11.2026 |
| Design Arena | models · svgwin rate 56.7% · rank 6 | 1,303Elo | SS — top 10% of the cohort | 13.11.2026 |
| Design Arena | models · uicomponentwin rate 64.8% · rank 2 | 1,387Elo | SS — top 10% of the cohort | 13.11.2026 |
| Design Arena | models · websitewin rate 53.6% · rank 10 | 1,311Elo | 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 | $1 | $5 | — | — | — |
Provider data retrieved: 13.11.2026
Related articles
No published articles identify this model yet.