Models Model details

Anthropic

Anthropic: Claude Opus 4.5

anthropic/claude-opus-4.5

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 reasoning benchmarks, and improved robustness to prompt injection. The model is designed to operate efficiently across varied effort levels, enabling developers to trade off speed, depth, and token usage depending on task requirements. It comes with a new parameter to control token efficiency, which can be accessed using the OpenRouter Verbosity parameter with low, medium, or high. Opus 4.5 supports advanced tool use, extended context management, and coordinated multi-agent setups, making it well-suited for autonomous research, debugging, multi-step planning, and spreadsheet/browser manipulation. It delivers substantial gains in structured reasoning, execution reliability, and alignment compared to prior Opus generations, while reducing token overhead and improving performance on long-running tasks.

Input
$5

/ 1M tokens

Output
$25

/ 1M tokens

Context window
200K

tokens

Limits

Context

200,000

tokens

Max output

64,000

32% of the context window

Model facts

Author

Anthropic

Tokenizer

Claude

Modality

Text + Image + File -> Text

Created

Nov 24, 2025

Publication status

Hugging Face: unavailableLicense: not publishedParameter count: not published

Modalities

Input · FileInput · ImageInput · TextOutput · Text

Generation controls

Include reasoningMax completion tokensMax tokensReasoningResponse formatStopStructured outputsTemperatureTool choiceToolsTop kVerbosity

Capability scores

29.1
Intelligence index

Better than 70% of models compared

Creative tasks

Category performance

Websites
Top 39%

1248 Elo

59.7% win

Code
Top 39%

1244 Elo

59.5% win

Games
Top 38%

1232 Elo

59.3% win

SVG
Top 47%

1180 Elo

58.7% win

3D
Top 41%

1214 Elo

58.5% win

Data visualization
Top 35%

1244 Elo

58.5% win

UI components
Top 42%

1237 Elo

58.1% win

ASCII art
Top 48%

1193 Elo

54.8% win

Agent tasks

Category performance

Android apps
Top 50%

1191 Elo

65.5% win

Mobile apps
Top 49%

1186 Elo

60.7% win

Full-stack apps
Top 58%

1156 Elo

60.2% win

Web apps
Top 63%

1151 Elo

55.1% win