anthropic
Anthropic: Claude Opus 4.5 (batch)
anthropic/claude-opus-4.5: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-4.5:batch as an Anthropic Claude Opus 4.5 batch listing associated with canonical model anthropic/claude-4.5-opus-20251124. It reports text, image, and file inputs with text output, a large context window, tool use, structured output, and optional reasoning controls. The catalog also lists arena results across design and agent/app categories. Because the source pack contains only a marketplace catalog and no independent model card, these capabilities and results should be treated as provisional and validated on the intended workload.[1]
Strengths
- The OpenRouter catalog reports multimodal text, image, and file inputs with text output.[1]
- It lists a 200,000-token context window, tool calling, structured outputs, and optional reasoning parameters.[1]
- Reported Design Arena results span coding, visualization, UI, websites, game development, and agent-built apps.[1]
Limitations
- Only OpenRouter catalog evidence was supplied; no independent model card was available for cross-checking.[1]
- The listed arena results cover limited categories and do not prove performance on a specific workload.[1]
- The listing omits the knowledge cutoff, expiration date, default reasoning effort, and explicit batch-request behavior.[1]
Where to use it
- Evaluate it for software engineering or agentic workflow trials matching the catalog's stated optimization.[1]
- Test it for image or file-to-text pipelines that can benefit from multimodal input support.[1]
- Consider it for long-context application prototypes, while validating behavior and costs before adoption.[1]
Sources
- [1] OpenRouter catalog · Anthropic: Claude Opus 4.5 (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 4.5 is Anthropic’s frontier reasoning model optimized for complex software engineering, agentic workflows, and long-horizon computer use. It offers strong multimodal capabilities, competitive performance across real-world coding and...
Specifications
- Model ID
- anthropic/claude-opus-4.5:batch
- Canonical ID
- anthropic/claude-4.5-opus-20251124
- Creator
- anthropic
- Added to OpenRouter
- 24.11.2025
- Context length
- 200,000
- Modality
- text+image+file->text
- Input modalities
- file, image, text
- 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.
| Task | Grade | Source-declared capability |
|---|---|---|
| General quality | No measurement | reasoning: optional · parameters: include_reasoning, reasoning |
| Coding | No measurement | — |
| Agents | No measurement | parameters: structured_outputs, tool_choice, tools |
| Writing | No measurement | output: text |
| Reasoning | No measurement | reasoning: optional · parameters: include_reasoning, reasoning |
| 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 |
|---|---|---|---|---|
| Design Arena | models · 3dwin rate 58.5% · rank 50 | 1,196Elo | BB — next 30% of the cohort | 13.11.2026 |
| Design Arena | models · asciiartwin rate 54.8% · rank 31 | 1,185Elo | BB — next 30% of the cohort | 13.11.2026 |
| Design Arena | models · codecategorieswin rate 59.5% · rank 49 | 1,233Elo | BB — next 30% of the cohort | 13.11.2026 |
| Design Arena | models · datavizwin rate 58.5% · rank 38 | 1,241Elo | BB — next 30% of the cohort | 13.11.2026 |
| Design Arena | models · gamedevwin rate 59.3% · rank 47 | 1,219Elo | BB — next 30% of the cohort | 13.11.2026 |
| Design Arena | models · svgwin rate 58.7% · rank 41 | 1,171Elo | BB — next 30% of the cohort | 13.11.2026 |
| Design Arena | models · uicomponentwin rate 58.1% · rank 49 | 1,229Elo | BB — next 30% of the cohort | 13.11.2026 |
| Design Arena | models · websitewin rate 59.7% · rank 50 | 1,240Elo | BB — next 30% of the cohort | 13.11.2026 |
| Design Arena | agents · androidnativewin rate 65.5% · rank 24 | 1,162Elo | BB — next 30% of the cohort | 13.11.2026 |
| Design Arena | agents · fullstackwin rate 60.1% · rank 26 | 1,134Elo | BB — next 30% of the cohort | 13.11.2026 |
| Design Arena | agents · mobileappswin rate 60.7% · rank 24 | 1,183Elo | BB — next 30% of the cohort | 13.11.2026 |
| Design Arena | agents · webappswin rate 55.1% · rank 32 | 1,141Elo | CC — below the B band | 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 | 200,000 | $2.5 | $12.5 | — | — | — |
Provider data retrieved: 13.11.2026
Related articles
No published articles identify this model yet.