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Crompt AI Blog
Tanuljon bizonyított technikákat.
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Claude Opus 4.6 is Anthropic's most advanced AI model, released February 5, 2026. It is designed for complex coding, agentic workflows, and professional knowledge work. It features a 1M token context window in beta and scored 65.4% on Terminal-Bench 2.0, the highest score any AI model has achieved on that benchmark.
Pricing is $5 per million input tokens and $25 per million output tokens, identical to Opus 4.5 despite the capability improvements. Prompts exceeding 200K tokens carry premium pricing at $10/$37.50 per million. US-only inference is available at a 1.1x markup.
The major changes are the 1M token context window (up from 200K), adaptive thinking controls, effort-level tuning, context compaction for long agent tasks, 128K output tokens, and Agent Teams in Claude Code. On benchmarks, the most significant jumps are on ARC-AGI-2 (68.8% vs. 37.6%) and Terminal-Bench 2.0 (65.4% vs. 59.8%).
Claude Opus 4.6 is available through claude.ai, the Claude API (model ID: claude-opus-4-6), Crompt AI, AWS Bedrock, Google Cloud Vertex AI, and Azure. If you want a straightforward interface to start experimenting without API setup, Crompt AI provides direct access to the model alongside other leading models in one place.
Agent Teams is a research preview feature that lets you run multiple AI agents working in parallel on independent tasks. It is designed for read-heavy, parallelizable work such as codebase reviews, documentation audits, and security scans. Each subagent operates independently while coordinating through shared context, and developers can take direct control of any subagent using Shift+Up/Down or tmux.
Opus 4.6 is the better choice for complex, long-horizon tasks: multi-file refactorings, large migrations, architectural changes, and difficult debugging sessions. Sonnet 4.5 remains the practical choice for fast iteration, smaller edits, and high-volume workflows where cost efficiency matters more than peak capability. Both models are accessible via Crompt AI if you want to run quick side-by-side comparisons before committing to one for your workflow.
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