anthropic
Anthropic: Claude Opus 4.8
anthropic/claude-opus-4.8
Our take
AI-assisted analysis based on the sources below. Suitability is an editorial assessment; test it on your own workload.
Anthropic/claude-opus-4.8 is listed in the OpenRouter catalog as Anthropic's generally available flagship Opus-family model, accepting text, image, and file inputs and returning text. The catalog reports a one-million-token context window, optional reasoning with configurable effort levels, and support for tools and structured outputs. Arena data reproduced by the catalog suggests relatively strong results in agentic slide-generation tasks and weaker results in 3D and PDF tasks. No independent model card was available in this source pack, so capabilities remain vendor- and catalog-reported.[1]
Strengths
- Multimodal input — text, images, and files — with text output and a reported one-million-token context window, per the OpenRouter catalog.[1]
- Reasoning is optional and tunable across several effort levels, alongside support for tools, structured outputs, and response formatting.[1]
- Catalog-reported arena results were comparatively strong in agentic presentation and slide generation.[1]
Limitations
- All evidence is a single OpenRouter catalog entry; no independent model card was available, so reported capabilities should be validated on your own workload.[1]
- Catalog arena data showed relatively weaker results for 3D/Blender and PDF-related tasks; knowledge cutoff, license terms, and hardware requirements were not reported.[1]
Where to use it
- Worth evaluating for long-document analysis or agentic workflows that could benefit from the large reported context and optional reasoning.[1]
- Candidate for presentation and slide-deck generation, where catalog arena results were relatively strongest; verify quality on your content.[1]
- Potential fit for multimodal assistants combining images or files with tool calling and structured output.[1]
Sources
- [1] OpenRouter catalog · Anthropic: Claude Opus 4.8Sources checked: Nov 13, 2026
About this model
Description below is the original text supplied by OpenRouter, shown in the source language.
Claude Opus 4.8 is Anthropic's most capable generally available model in the Opus family. It supports text, image, and file inputs with text output, with reasoning support and a 1M-token...
Specifications
- Model ID
- anthropic/claude-opus-4.8
- Canonical ID
- anthropic/claude-4.8-opus-20260528
- Creator
- anthropic
- Added to OpenRouter
- 27.05.2026
- 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, xhigh, high, medium, low, none · parameters: include_reasoning, reasoning, reasoning_effort |
| Coding | AA — next 20% of the cohort | — |
| Agents | AA — next 20% of the cohort | parameters: structured_outputs, tool_choice, tools |
| Writing | No measurement | output: text |
| Reasoning | No measurement | reasoning: optional · default high · efforts: max, xhigh, 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 |
|---|---|---|---|---|
| Artificial Analysis | Coding index | 74.3 | AA — next 20% of the cohort | 13.11.2026 |
| Artificial Analysis | Agentic index | 41.9 | AA — next 20% of the cohort | 13.11.2026 |
| Design Arena | agents · agenticgamedevwin rate 55.3% · rank 5 | 1,184Elo | AA — next 20% of the cohort | 13.11.2026 |
| Design Arena | agents · agentichtmlslideswin rate 55.6% · rank 3 | 1,227Elo | —Not rated | 13.11.2026 |
| Design Arena | agents · agenticslideswin rate 64.8% · rank 1 | 1,294Elo | —Not rated | 13.11.2026 |
| Design Arena | agents · agenticslides(html)win rate 56% · rank 3 | 1,230Elo | —Not rated | 13.11.2026 |
| Design Arena | agents · agenticslides(python-pptx)win rate 68.9% · rank 1 | 1,310Elo | —Not rated | 13.11.2026 |
| Design Arena | agents · androidnativewin rate 55.7% · rank 11 | 1,221Elo | AA — next 20% of the cohort | 13.11.2026 |
| Design Arena | agents · blender3dwin rate 48.2% · rank 14 | 1,096Elo | BB — next 30% of the cohort | 13.11.2026 |
| Design Arena | agents · codetovideowin rate 53.7% · rank 11 | 1,186Elo | BB — next 30% of the cohort | 13.11.2026 |
| Design Arena | agents · fullstackwin rate 55% · rank 10 | 1,228Elo | AA — next 20% of the cohort | 13.11.2026 |
| Design Arena | agents · godotgamedevwin rate 55.8% · rank 11 | 1,214Elo | AA — next 20% of the cohort | 13.11.2026 |
| Design Arena | agents · htmlslideswin rate 58% · rank 8 | 1,116Elo | AA — next 20% of the cohort | 13.11.2026 |
| Design Arena | agents · mobileappswin rate 53.3% · rank 16 | 1,210Elo | AA — next 20% of the cohort | 13.11.2026 |
| Design Arena | agents · pdfwin rate 49.7% · rank 22 | 1,156Elo | CC — below the B band | 13.11.2026 |
| Design Arena | agents · pptxslideswin rate 67.9% · rank 1 | 1,306Elo | —Not rated | 13.11.2026 |
| Design Arena | agents · python-pptxslideswin rate 65.9% · rank 2 | 1,298Elo | SS — top 10% of the cohort | 13.11.2026 |
| Design Arena | agents · spreadsheetwin rate 55.3% · rank 13 | 1,177Elo | BB — next 30% of the cohort | 13.11.2026 |
| Design Arena | agents · webappswin rate 51.3% · rank 17 | 1,217Elo | BB — next 30% of the cohort | 13.11.2026 |
| Design Arena | models · 3dwin rate 51.1% · rank 48 | 1,205Elo | BB — next 30% of the cohort | 13.11.2026 |
| Design Arena | models · asciiartwin rate 61.7% · rank 10 | 1,272Elo | AA — next 20% of the cohort | 13.11.2026 |
| Design Arena | models · codecategorieswin rate 52.2% · rank 44 | 1,244Elo | BB — next 30% of the cohort | 13.11.2026 |
| Design Arena | models · datavizwin rate 52.5% · rank 41 | 1,235Elo | BB — next 30% of the cohort | 13.11.2026 |
| Design Arena | models · gamedevwin rate 52% · rank 36 | 1,252Elo | AA — next 20% of the cohort | 13.11.2026 |
| Design Arena | models · svgwin rate 50.7% · rank 36 | 1,184Elo | BB — next 30% of the cohort | 13.11.2026 |
| Design Arena | models · uicomponentwin rate 52.9% · rank 45 | 1,249Elo | BB — next 30% of the cohort | 13.11.2026 |
| Design Arena | models · websitewin rate 52.8% · rank 43 | 1,251Elo | BB — next 30% 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 | — | — | — |
| Amazon Bedrock | 1,000,000 | $5 | $25 | — | — | 100% |
| 1,000,000 | $5 | $25 | — | — | 100% | |
| Anthropic | 1,000,000 | $5 | $25 | — | — | 100% |
| Azure | 1,000,000 | $5.5 | $27.5 | — | — | — |
| Amazon Bedrock | 1,000,000 | $5.5 | $27.5 | — | — | — |
| 1,000,000 | $5.5 | $27.5 | — | — | — | |
| Amazon Bedrock | 1,000,000 | $5.5 | $27.5 | — | — | — |
| 1,000,000 | $5.5 | $27.5 | — | — | — | |
| Anthropic | 1,000,000 | $10 | $50 | — | — | — |
Provider data retrieved: 13.11.2026
Related articles
No published articles identify this model yet.