Analysis Summary
Claude Opus 4.5 is Anthropic's flagship reasoning model from late 2025, pairing strong general intelligence with one of the highest agentic scores in its class. It supports vision, tool use and function calling, giving it real breadth for both analytical and interactive business tasks.
It fits software engineering, multi-step agent workflows, and long-form client content where accuracy and tone control matter. Its 200K context window is smaller than some rivals, and newer Claude releases have since pushed reasoning further, but Opus 4.5 remains dependable for demanding professional use.
Pricing at $5 input and $25 output per million tokens sits at the premium end, best reserved for high-value work where quality outweighs cost.
Assessed July 25, 2026
Editorial notes
Claude Opus 4.5 from Anthropic combines strong reasoning with high agentic reliability, vision and function calling, making it dependable for coding and client-facing work.
Rankings consider pricing, capabilities, benchmarks, and real-world applicability and are refreshed as new models launch. Feedback?
DFO Verdict
Claude Opus 4.5 from Anthropic combines strong reasoning with high agentic reliability, vision and function calling, making it dependable for coding and client-facing work.
How Anthropic: Claude Opus 4.5 compares
Anthropic: Claude Opus 4.5 ranks #31 of 395 AI models we track for overall intelligence, #40 of 302 for agentic tasks. Its 200K-token context window is larger than 59% of the models we list. At $5.00 per million input tokens it is cheaper than 7% of comparable models.
Dark bar = input · light bar = output, scaled to the priciest peer.
1M tokens ≈ 8 full-length novels or ~2,500 pages of business documents in a single request.
Strongest on content. The pulled-in intelligence corner is the trade-off, and if the shape matters more than the price, this is your model.
Compare shapes side-by-side →Pricing
| Token Type | Cost per 1M tokens | Cost per 1K tokens |
|---|---|---|
| Input | $5.00 | $0.005000 |
| Output | $25.00 | $0.025000 |
What would Anthropic: Claude Opus 4.5 cost your business?
Pick the job that looks most like yours, then fine-tune with the sliders. Estimates update live.
A website chatbot handling around 100 customer conversations a day, a few short messages each.
Full calculator with 650 models → Price Calculator
These numbers get smaller with the right architecture.
We route routine calls to cheap models and save Anthropic: Claude Opus 4.5 for the hard ones. Most clients cut their estimate by 60-80%.
Talk to our teamAbout 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..
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<a href="https://designforonline.com/ai-models/anthropic-claude-opus-4-5/"><img src="https://designforonline.com/?aiml_badge=anthropic-claude-opus-4-5&theme=dark" alt="Anthropic: Claude Opus 4.5, ranked #23 on the Design for Online AI Leaderboard" width="400" height="76"></a>
<a href="https://designforonline.com/ai-models/anthropic-claude-opus-4-5/"><img src="https://designforonline.com/?aiml_badge=anthropic-claude-opus-4-5&theme=light" alt="Anthropic: Claude Opus 4.5, ranked #23 on the Design for Online AI Leaderboard" width="400" height="76"></a>
Frequently asked questions about Anthropic: Claude Opus 4.5
How much does Anthropic: Claude Opus 4.5 cost?
Anthropic: Claude Opus 4.5 costs $5.00 per million input tokens and $25.00 per million output tokens.
What is the context window of Anthropic: Claude Opus 4.5?
Anthropic: Claude Opus 4.5 has a context window of 200,000 tokens (200K).
What can Anthropic: Claude Opus 4.5 do?
Anthropic: Claude Opus 4.5 supports image/vision input, tool use, and function calling.
Who created Anthropic: Claude Opus 4.5?
Anthropic: Claude Opus 4.5 is developed by Anthropic and was released on November 24, 2025.
Data sourced from the OpenRouter API, Artificial Analysis, the Hugging Face Open LLM Leaderboard and our own internal testing. Scores are editorially curated by our team.
Last updated: July 29, 2026 8:38 pm