anthropic
Anthropic: Claude Sonnet 4.5
anthropic/claude-sonnet-4.5
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-sonnet-4.5 as an Anthropic model intended for agentic and coding workflows. The catalog lists text, image, and file inputs with text output, a 1,000,000-token context window, a knowledge cutoff of January 31, 2025, and support for tools, structured outputs, response formatting, and reasoning-related controls. It also reports design-arena results and coding and agentic indexes. These are catalog-reported capabilities and measurements, not independently verified outcomes; an Anthropic model card was not included in this source pack.[1]
Strengths
- Accepts text, image, and file inputs and returns text, with a listed context window of up to 1,000,000 tokens.[1]
- Exposes request options for tools, tool choice, structured outputs, response format, stop sequences, sampling controls, and reasoning-related parameters.[1]
- The catalog includes measured design-arena entries across design, coding, and app-building categories, plus separate coding and agentic indexes; results vary by category.[1]
Limitations
- Only OpenRouter catalog evidence was supplied; no independent Anthropic model card was available, so capabilities and suitability still require workload validation.[1]
- Reasoning is marked optional and no default or supported effort levels are listed, so its behavior and configuration limits remain unclear from this evidence.[1]
- The source does not state availability, latency, safety properties, licensing, deployment terms, or hardware needs; the January 31, 2025 knowledge cutoff may also matter for current information.[1]
Where to use it
- Potentially suitable for coding assistants or multi-step agent prototypes where tool calling is needed; validate task performance before production use.[1]
- May fit document or image-to-text workflows that benefit from a large context window, subject to file-handling tests.[1]
- Could support applications needing structured outputs or controlled responses, if the selected provider endpoint exposes the listed parameters.[1]
Sources
- [1] OpenRouter catalog · Anthropic: Claude Sonnet 4.5Sources checked: Nov 13, 2026
About this model
Description below is the original text supplied by OpenRouter, shown in the source language.
Claude Sonnet 4.5 is Anthropic’s most advanced Sonnet model to date, optimized for real-world agents and coding workflows. It delivers state-of-the-art performance on coding benchmarks such as SWE-bench Verified, with...
Specifications
- Model ID
- anthropic/claude-sonnet-4.5
- Canonical ID
- anthropic/claude-4.5-sonnet-20250929
- Creator
- anthropic
- Added to OpenRouter
- 29.09.2025
- 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 $3 / out $15
- Knowledge cutoff
- 31.01.2025
- 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 | BB — next 30% of the cohort | — |
| Agents | BB — next 30% of the cohort | 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 |
|---|---|---|---|---|
| Artificial Analysis | Coding index | 52.1 | BB — next 30% of the cohort | 13.11.2026 |
| Artificial Analysis | Agentic index | 15.8 | BB — next 30% of the cohort | 13.11.2026 |
| Design Arena | models · 3dwin rate 51% · rank 73 | 1,140Elo | BB — next 30% of the cohort | 13.11.2026 |
| Design Arena | models · asciiartwin rate 56.1% · rank 26 | 1,200Elo | BB — next 30% of the cohort | 13.11.2026 |
| Design Arena | models · codecategorieswin rate 51.5% · rank 70 | 1,173Elo | BB — next 30% of the cohort | 13.11.2026 |
| Design Arena | models · datavizwin rate 47.4% · rank 75 | 1,165Elo | CC — below the B band | 13.11.2026 |
| Design Arena | models · gamedevwin rate 51.1% · rank 73 | 1,157Elo | BB — next 30% of the cohort | 13.11.2026 |
| Design Arena | models · svgwin rate 52.2% · rank 64 | 1,107Elo | CC — below the B band | 13.11.2026 |
| Design Arena | models · uicomponentwin rate 49.4% · rank 75 | 1,163Elo | BB — next 30% of the cohort | 13.11.2026 |
| Design Arena | models · websitewin rate 51.8% · rank 75 | 1,182Elo | BB — next 30% of the cohort | 13.11.2026 |
| Design Arena | agents · fullstackwin rate 43.7% · rank 37 | 1,028Elo | CC — below the B band | 13.11.2026 |
| Design Arena | agents · mobileappswin rate 53% · rank 36 | 1,132Elo | CC — below the B band | 13.11.2026 |
| Design Arena | agents · webappswin rate 43.2% · rank 42 | 1,042Elo | 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) |
|---|---|---|---|---|---|---|
| Claude Platform on AWS | 1,000,000 | $3 | $15 | — | — | 100% |
| Azure | 200,000 | $3 | $15 | — | — | — |
| Amazon Bedrock | 1,000,000 | $3 | $15 | — | — | 100% |
| Anthropic | 1,000,000 | $3 | $15 | — | — | 100% |
| 1,000,000 | $3 | $15 | — | — | — | |
| Amazon Bedrock | 1,000,000 | $3.3 | $16.5 | — | — | — |
| 1,000,000 | $3.3 | $16.5 | — | — | — |
Provider data retrieved: 13.11.2026
Related articles
No published articles identify this model yet.