anthropic
Anthropic: Claude Opus 4.8 (batch)
anthropic/claude-opus-4.8:batch
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:batch
- 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 $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 · 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) |
|---|---|---|---|---|---|---|
| Anthropic | 1,000,000 | $2.5 | $12.5 | — | — | — |
Provider data retrieved: 13.11.2026
Related articles
No published articles identify this model yet.