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Model details
Claude Opus 5
Claude Opus 5 is Anthropic's flagship hybrid reasoning release for the Opus tier, positioned as a step-change upgrade that emphasizes stronger coding, more capable agents, and sharper professional knowledge work. Anthropic introduced the model on July 24, 2026 as a daily-driver system that approaches the intelligence of its larger Claude Fable 5 sibling while operating at roughly half the price, and the company highlights a 1,000,000-token context window as a defining architectural feature for long-running agentic workflows. On the engineering side, Opus 5 is framed around serious software development and autonomous task execution, with an adjustable effort setting that lets users trade intelligence against token spend, allowing teams to tune speed, cost, and depth per task without changing models.
In practice, Opus 5 targets developers and knowledge workers who need sustained reasoning across multi-step projects, such as large refactors, agentic pipelines, and enterprise workflows that span tools and documents. Anthropic claims it reaches state-of-the-art results on coding and knowledge-work evaluations like Frontier-Bench and GDPval-AA, doubling the predecessor's Frontier-Bench performance at lower cost per task and staying within a fraction of a point of the top competitor on CursorBench 3.2 at maximum effort, while still trailing on dedicated cybersecurity benchmarks. Combined with Anthropic's same-cost upgrade over the prior Opus generation, the model is well suited for users who want a balance of depth, efficiency, and long-context reasoning rather than a purely raw-intelligence tier.
Quick Info
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- Venice AI
- Model key
- claude-opus-5
- Release date
- Jul 23, 2026
- Last updated
- Jul 24, 2026
- Knowledge cutoff
- 2026-05
- Input modalities
- Output modalities
- Capabilities
Cost
- Input token cost
- $6.00
- Output token cost
- $30.00
Limits
- Output tokens
- 128,000 tokens
- Context window
- 1,000,000 tokens
Transparent token rates
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Rates are shown per one million tokens. Combined means one million input plus one million output tokens.
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