Analysis Summary
Claude Opus 4.6 is a full Anthropic configuration with text, image, and file input, vision, tool use, and function calling. Its 1M-token context window supports large codebases, lengthy contracts, extensive research collections, and complex multi-step briefs. The supplied pricing is premium, particularly for generated output, so careful routing is required.
It is well suited to high-value software engineering, long-document analysis, editorial quality control, and supervised agents. This batch variant has no separate benchmark record in the supplied data, so its measured reliability cannot be confirmed despite the strong operational feature set. Adopt it for demanding workflows where context capacity and answer depth justify the cost, with cheaper models handling routine traffic.
Assessed August 9, 2026
Editorial notes
Claude Opus 4.6 combines a 1M-token context, vision, file input, tool use, and function calling for demanding coding, analysis, and content workflows. This batch variant has no separate benchmark record, while premium pricing limits bulk use.
Rankings consider pricing, capabilities, benchmarks, and real-world applicability and are refreshed as new models launch. Feedback?
DFO Verdict
Claude Opus 4.6 combines a 1M-token context, vision, file input, tool use, and function calling for demanding coding, analysis, and content workflows. This batch variant has no separate benchmark record, while premium pricing limits bulk use.
How Anthropic: Claude Opus 4.6 (batch) compares
Anthropic: Claude Opus 4.6 (batch) ranks #38 of 420 AI models we track for overall intelligence. Its 1M-token context window is larger than 86% of the models we list. At $2.50 per million input tokens it is cheaper than 14% 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 value. The pulled-in technical 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 | $2.50 | $0.002500 |
| Output | $12.50 | $0.012500 |
What would Anthropic: Claude Opus 4.6 (batch) 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 688 models → Price Calculator
These numbers get smaller with the right architecture.
We route routine calls to cheap models and save Anthropic: Claude Opus 4.6 (batch) for the hard ones. Most clients cut their estimate by 60-80%.
Talk to our teamAbout 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..
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Frequently asked questions about Anthropic: Claude Opus 4.6 (batch)
How much does Anthropic: Claude Opus 4.6 (batch) cost?
Anthropic: Claude Opus 4.6 (batch) costs $2.50 per million input tokens and $12.50 per million output tokens.
What is the context window of Anthropic: Claude Opus 4.6 (batch)?
Anthropic: Claude Opus 4.6 (batch) has a context window of 1,000,000 tokens (1M).
What can Anthropic: Claude Opus 4.6 (batch) do?
Anthropic: Claude Opus 4.6 (batch) supports image/vision input, tool use, and function calling.
Who created Anthropic: Claude Opus 4.6 (batch)?
Anthropic: Claude Opus 4.6 (batch) is developed by Anthropic and was released on February 4, 2026.
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: August 10, 2026 8:38 pm