anthropic
Anthropic: Claude Opus 4.6
anthropic/claude-opus-4.6
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-4.6 as Anthropic's Opus 4.6 model for coding and extended professional work, including agents that carry tasks across workflows. The catalog lists text, image, and file inputs with text output, a one-million-token context window, tool use, structured outputs, and configurable reasoning effort. It also reports Design Arena results across several agent and model categories. Because this source pack contains catalog data only, not an independent model card, these claims and measured results should be validated against the intended workload.[1]
Strengths
- The catalog positions this exact variant for coding, agentic workflows, and long-running professional tasks.[1]
- It lists text, image, and file inputs with text-only output, plus tool use and structured output support.[1]
- Reasoning is optional and configurable across multiple effort levels, and the catalog lists a one-million-token context window.[1]
Limitations
- Only OpenRouter catalog evidence was supplied; an independent model card was not available in this source pack, so catalog claims need corroboration.[1]
- The reported Design Arena outcomes cover selected agent and model categories; they do not establish performance on a user's specific workload.[1]
- The catalog lists text as the sole output modality and does not provide a knowledge cutoff.[1]
Where to use it
- Consider for coding assistants or agentic workflows that may benefit from tool use, structured outputs, and a large context window; validate on representative tasks.[1]
- Potentially suitable for document or image-grounded analysis that produces text, given the listed file and image inputs.[1]
- May fit long-running professional workflows where configurable reasoning effort is useful, subject to workload testing.[1]
Sources
- [1] OpenRouter catalog · Anthropic: Claude Opus 4.6Sources checked: Nov 13, 2026
About this model
Description below is the original text supplied by OpenRouter, shown in the source language.
Opus 4.6 is Anthropic’s strongest model for coding and long-running professional tasks. It is built for agents that operate across entire workflows rather than single prompts, making it especially effective...
Specifications
- Model ID
- anthropic/claude-opus-4.6
- Canonical ID
- anthropic/claude-4.6-opus-20260205
- Creator
- anthropic
- Added to OpenRouter
- 04.02.2026
- 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 $5 / out $25
- 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 · default high · efforts: max, high, medium, low, none · 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: optional · default high · efforts: max, high, medium, low, none · 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 |
|---|---|---|---|---|
| Design Arena | agents · agenticgamedevwin rate 45.5% · rank 11 | 1,146Elo | BB — next 30% of the cohort | 13.11.2026 |
| Design Arena | agents · androidnativewin rate 61% · rank 18 | 1,180Elo | BB — next 30% of the cohort | 13.11.2026 |
| Design Arena | agents · blender3dwin rate 37.2% · rank 20 | 1,008Elo | CC — below the B band | 13.11.2026 |
| Design Arena | agents · codetovideowin rate 42.9% · rank 16 | 1,110Elo | CC — below the B band | 13.11.2026 |
| Design Arena | agents · fullstackwin rate 59.2% · rank 15 | 1,199Elo | BB — next 30% of the cohort | 13.11.2026 |
| Design Arena | agents · mobileappswin rate 57.3% · rank 20 | 1,202Elo | BB — next 30% of the cohort | 13.11.2026 |
| Design Arena | agents · pdfwin rate 54.2% · rank 16 | 1,198Elo | BB — next 30% of the cohort | 13.11.2026 |
| Design Arena | agents · spreadsheetwin rate 60.5% · rank 10 | 1,221Elo | BB — next 30% of the cohort | 13.11.2026 |
| Design Arena | agents · webappswin rate 55.6% · rank 25 | 1,187Elo | BB — next 30% of the cohort | 13.11.2026 |
| Design Arena | models · 3dwin rate 62.5% · rank 28 | 1,257Elo | AA — next 20% of the cohort | 13.11.2026 |
| Design Arena | models · asciiartwin rate 61.9% · rank 16 | 1,250Elo | AA — next 20% of the cohort | 13.11.2026 |
| Design Arena | models · codecategorieswin rate 61.2% · rank 24 | 1,279Elo | AA — next 20% of the cohort | 13.11.2026 |
| Design Arena | models · datavizwin rate 58.7% · rank 21 | 1,277Elo | AA — next 20% of the cohort | 13.11.2026 |
| Design Arena | models · gamedevwin rate 61% · rank 25 | 1,268Elo | AA — next 20% of the cohort | 13.11.2026 |
| Design Arena | models · svgwin rate 60.9% · rank 24 | 1,219Elo | AA — next 20% of the cohort | 13.11.2026 |
| Design Arena | models · uicomponentwin rate 59.8% · rank 29 | 1,276Elo | AA — next 20% of the cohort | 13.11.2026 |
| Design Arena | models · websitewin rate 61.1% · rank 22 | 1,284Elo | AA — next 20% 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) |
|---|---|---|---|---|---|---|
| Claude Platform on AWS | 1,000,000 | $5 | $25 | — | — | 100% |
| Azure | 1,000,000 | $5 | $25 | — | — | — |
| 1,000,000 | $5 | $25 | — | — | — | |
| Amazon Bedrock | 1,000,000 | $5 | $25 | — | — | 100% |
| Anthropic | 1,000,000 | $5 | $25 | — | — | 100% |
| 1,000,000 | $5.5 | $27.5 | — | — | — |
Provider data retrieved: 13.11.2026
Related articles
No published articles identify this model yet.