Claude Opus 5

Name: Claude Opus 5
Author: Anthropic

by AnthropicClaude

APIAvailable through a hosted API — pay per token, no self-hosting required

Released July 20261000K context≈ 750,000 words

Claude Opus 5 is Anthropic's second-generation Opus model on the Claude 5 family architecture. It narrows the gap with the flagship Fable 5 while costing half as much, making frontier-level reasoning, coding, and analysis accessible to a wider range of production workloads. It accepts text and image inputs with a 1M-token context window and produces up to 128K output tokens (300K via Batch API). The model retains Claude's characteristic care around safety and honesty while delivering substantial gains in coding, math, and agentic tasks over its Opus 4.8 predecessor.

Capabilities

Capability scores are AI-generated based on model documentation, benchmarks, and technical specifications. Learn more

Reasoning & Logic

Exceptional

Coding

Claude Opus 5

by AnthropicClaude

APIAvailable through a hosted API — pay per token, no self-hosting required

Released July 20261000K context≈ 750,000 words

Claude Opus 5 is Anthropic's second-generation Opus model on the Claude 5 family architecture. It narrows the gap with the flagship Fable 5 while costing half as much, making frontier-level reasoning, coding, and analysis accessible to a wider range of production workloads. It accepts text and image inputs with a 1M-token context window and produces up to 128K output tokens (300K via Batch API). The model retains Claude's characteristic care around safety and honesty while delivering substantial gains in coding, math, and agentic tasks over its Opus 4.8 predecessor.

Capabilities

Capability scores are AI-generated based on model documentation, benchmarks, and technical specifications. Learn more

Reasoning & Logic

Exceptional

Coding

Benchmark Scores

Benchmark	Score	Type	Recorded
Humanity's Last Exam	56.3	accuracy	23d ago
MMLU-Pro	91.6	accuracy	23d ago
GPQA Diamond	93.2	accuracy	23d ago
LiveCodeBench	89.0	accuracy	23d ago
SWE-Bench	96.0	accuracy	23d ago
LCR	79.3	accuracy	23d ago
SciCode	56.4	accuracy	23d ago

Glossary

APIAn interface that allows developers to send requests to and receive responses from an AI model over the internet.AgenticA model designed to act autonomously by making decisions, selecting actions, and using tools to accomplish multi-step tasks.Agentic TasksComplex tasks where a model acts autonomously to break down goals into steps, use tools, and make decisions to reach an objective.ArchitectureThe underlying structural design of a neural network that defines how data flows through layers and components.Context WindowThe maximum number of tokens a model can process in a single conversation or prompt.HonestyWhether a model acknowledges the limits of its knowledge and avoids making up answers.ReasoningThe model's ability to work through multi-step logical problems and provide justified answers rather than just pattern-matching.TokenA small unit of text (a word, subword, or punctuation mark) that a language model breaks input into for processing.TokensThe basic units of text that a language model processes, typically representing words or word fragments.

Capabilities

Capabilities

Benchmark Scores

Use Case Fit

Glossary