Models Model details

Anthropic

Anthropic: Claude Opus 4.6 (batch)

anthropic/claude-opus-4.6:batch

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 for large codebases, complex refactors, and multi-step debugging that unfolds over time. The model shows deeper contextual understanding, stronger problem decomposition, and greater reliability on hard engineering tasks than prior generations. Beyond coding, Opus 4.6 excels at sustained knowledge work. It produces near-production-ready documents, plans, and analyses in a single pass, and maintains coherence across very long outputs and extended sessions. This makes it a strong default for tasks that require persistence, judgment, and follow-through, such as technical design, migration planning, and end-to-end project execution. For users upgrading from earlier Opus versions, see our official migration guide here

Input
$2.5

/ 1M tokens

Output
$12.5

/ 1M tokens

Context window
1M

tokens

Limits

Context

1,000,000

tokens

Max output

128,000

13% of the context window

Model facts

Author

Anthropic

Tokenizer

Claude

Modality

Text + Image + File -> Text

Created

Feb 4, 2026

Reasoning

Default HighMaxHighMediumLowNone

Publication status

Hugging Face: unavailableLicense: not publishedParameter count: not published

Modalities

Input · TextInput · ImageInput · FileOutput · Text

Generation controls

Include reasoningMax tokensReasoningReasoning effortResponse formatStopStructured outputsTemperatureTool choiceToolsTop pVerbosity

Capability scores

31.9
Intelligence index

Better than 73% of models compared

Agent tasks

Category performance

Android apps
Top 36%

1216 Elo

63.5% win

Full-stack apps
Top 32%

1220 Elo

59.9% win

Mobile apps
Top 38%

1205 Elo

59.1% win

Web apps
Top 42%

1198 Elo

57.0% win

Agentic games
Top 38%

1213 Elo

50.3% win

Creative tasks

Category performance

3D
Top 23%

1274 Elo

62.5% win

ASCII art
Top 27%

1257 Elo

61.9% win

Code
Top 19%

1290 Elo

61.2% win

Websites
Top 17%

1293 Elo

61.2% win

Games
Top 23%

1279 Elo

61.0% win

SVG
Top 28%

1227 Elo

60.9% win

UI components
Top 24%

1284 Elo

59.8% win

Data visualization
Top 19%

1281 Elo

58.7% win