On April 16, 2026, Anthropic officially released Claude Opus 4.7 — and it’s not a minor update. The new flagship model brings a substantial leap in vision capabilities, a smarter approach to extended thinking, a brand-new tokenizer, and a first-of-its-kind task budget system designed for complex, long-running AI agent workflows. Whether you’re a developer, a knowledge worker, or someone who uses AI daily, Claude Opus 4.7 introduces changes that will reshape how you interact with AI tools in 2026.
In this post, we break down every major feature, explain what it means in plain English, and show you exactly how Opus 4.7 stacks up against the competition — including GPT-5.4 and Gemini 3.1 Ultra.
What Is Claude Opus 4.7?
Claude Opus 4.7 is Anthropic’s latest and most capable generally available AI model. It succeeds Claude Opus 4.6 and is purpose-built for autonomous, long-horizon agentic tasks — meaning it can handle complex, multi-step jobs with minimal hand-holding. Think of it as an AI that doesn’t just answer your questions, but actually works through problems from start to finish.
Pricing remains unchanged at $5 input / $25 output per million tokens — a significant value considering the capability jump over Opus 4.6.
Key New Features in Claude Opus 4.7
1. High-Resolution Vision — A First for Claude
This is a headline feature. Claude Opus 4.7 is the first Claude model to support high-resolution image input, with the maximum image resolution jumping from 1568px / 1.15MP (Opus 4.6) to an impressive 2576px / 3.75MP. That’s a 3x increase in pixel density.
What this means practically: Claude can now analyze detailed charts, read fine print in scanned documents, interpret complex engineering diagrams, and process high-fidelity screenshots with far greater accuracy than before. For teams using Claude in document analysis, legal review, or design critique workflows, this is a game-changer.
2. Task Budgets — Smarter Agentic Work
Claude Opus 4.7 introduces a groundbreaking concept called task budgets. When running Claude in an agentic loop (where the AI uses tools, makes decisions, and runs multiple steps), you can now give Claude a rough estimate of how many tokens to target for the entire workflow — including thinking, tool calls, tool results, and final output.
Claude sees a running countdown and uses it to prioritize work intelligently. If it’s burning through tokens faster than expected, it adjusts its approach — focusing on the most critical parts of the task rather than exhausting its budget on secondary details. This makes long-horizon AI automation dramatically more reliable and cost-predictable for developers and enterprises.
3. Adaptive Thinking Replaces Extended Thinking
In Claude Opus 4.6, users could toggle extended thinking — a mode where Claude would reason through problems at length before responding. Opus 4.7 retires this in favor of Adaptive Thinking, the only thinking-on mode going forward.
The result? Adaptive Thinking reliably outperforms extended thinking across benchmarks. Rather than using a fixed extended budget, the model dynamically scales its reasoning depth based on what the task actually requires — spending more cognitive effort on hard problems and less on easy ones. The output is smarter, faster, and more efficient.
4. New Tokenizer for Improved Performance
Claude Opus 4.7 ships with a completely new tokenizer that contributes meaningfully to performance gains. One important note: this new tokenizer may use roughly 1x to 1.35x as many tokens compared to previous models (up to ~35% more). Users with tight token budgets should account for this when migrating from Opus 4.6.
The trade-off is worth it — the new tokenizer enables better language understanding, improved multilingual support, and more accurate parsing of complex technical content like code and structured data.
5. Claude Design — Powered by Opus 4.7
Anthropic also launched Claude Design, a new product in research preview, exclusively powered by Claude Opus 4.7. Available to Claude Pro, Max, Team, and Enterprise subscribers, Claude Design applies Opus 4.7’s vision and reasoning capabilities to design-specific workflows — analyzing UI mockups, generating design feedback, and helping creative and product teams iterate faster.
6. /ultrareview in Claude Code
For developers using Claude Code (Anthropic’s agentic coding tool), Opus 4.7 introduces a new command: /ultrareview. This command simulates a senior human code reviewer — not just catching bugs, but pointing out subtle design problems, architectural issues, and logic holes that standard linters and even earlier Claude models would miss. It’s the closest thing to having a principal engineer review your PR on demand.
How Claude Opus 4.7 Compares to the Competition
The AI model landscape in April 2026 is fiercely competitive. Here’s how Opus 4.7 stacks up:
| Model | Strengths | Context Window | Computer Use (OSWorld) |
|---|---|---|---|
| Claude Opus 4.7 | Agentic workflows, vision, reasoning | 200K tokens | 72.5% |
| GPT-5.4 | Computer use, coding, autonomy | 1M tokens | 75% (above human baseline) |
| Gemini 3.1 Ultra | Multimodal, 2M context, grounding | 2M tokens | Not disclosed |
| Grok 4.20 | Real-time web access | Not disclosed | Not disclosed |
While GPT-5.4 edges out Opus 4.7 on OSWorld’s computer use benchmark (75% vs. 72.5%), Claude’s strengths lie in reasoning quality, safety, and long-form agentic reliability — areas where Anthropic’s constitutional AI training continues to deliver an edge. Gemini 3.1 Ultra leads on context window size, but Claude Opus 4.7’s task budget system makes it uniquely suited for controlled, predictable enterprise deployments.
What Claude Opus 4.7 Means for Users
Whether you’re using Claude as a personal AI assistant or deploying it at enterprise scale, here’s the practical impact of Opus 4.7:
- Knowledge workers benefit from dramatically better image understanding — upload detailed reports, diagrams, and screenshots and get richer, more accurate analysis.
- Developers gain a more reliable agentic model with task budgets and the /ultrareview command — both reduce costly surprises in production AI pipelines.
- Enterprise teams can now plan AI automation costs more confidently thanks to predictable token usage through task budgets.
- Creative professionals get early access to Claude Design, a dedicated design-review product built on Opus 4.7’s enhanced vision.
- API users migrating from Opus 4.6 should note the ~35% potential increase in token usage due to the new tokenizer and plan accordingly.
Key Takeaways
- Claude Opus 4.7 launched on April 16, 2026, with pricing held at $5/$25 per million tokens.
- High-resolution vision support (up to 3.75MP) is a first for Claude and a major upgrade for visual tasks.
- Task budgets make long-running AI agent workflows more efficient, predictable, and cost-controlled.
- Adaptive Thinking replaces Extended Thinking and delivers superior reasoning performance.
- A new tokenizer boosts performance but may increase token count by up to 35% — plan your migrations accordingly.
- Claude Design (research preview) and the /ultrareview command in Claude Code are exciting additions for creators and developers.
- Despite GPT-5.4’s edge in raw computer use, Claude Opus 4.7 remains the top choice for safe, reliable, and explainable agentic AI.
Frequently Asked Questions (FAQ)
What is Claude Opus 4.7 and when was it released?
Claude Opus 4.7 is Anthropic’s latest flagship AI model, released on April 16, 2026. It is the most capable generally available Claude model to date, designed for advanced reasoning, high-resolution vision tasks, and complex long-running agentic workflows.
How is Claude Opus 4.7 different from Claude Opus 4.6?
Claude Opus 4.7 introduces several major upgrades over 4.6: high-resolution image support (up to 2576px / 3.75MP), the new Task Budget system for agentic loops, Adaptive Thinking replacing Extended Thinking, a new tokenizer, and the /ultrareview command for Claude Code. The pricing remains the same at $5/$25 per million tokens.
What are task budgets in Claude Opus 4.7?
Task budgets are a new feature in Claude Opus 4.7 that lets developers set a token target for an entire agentic workflow — including thinking, tool calls, tool results, and output. Claude sees a running countdown and adjusts its behavior to prioritize the most important work within the budget, making AI automation more efficient and cost-predictable.
Is Claude Opus 4.7 better than GPT-5.4?
Both are top-tier models in 2026. GPT-5.4 leads on OSWorld computer use benchmarks (75% vs 72.5%) and offers a larger 1M-token context window. Claude Opus 4.7 excels at safe, reasoning-intensive agentic tasks, high-resolution vision analysis, and predictable enterprise deployments with task budgets. The best choice depends on your specific use case.
What is Claude Design, and who can access it?
Claude Design is a new product from Anthropic Labs, currently in research preview, powered by Claude Opus 4.7. It applies the model’s vision and reasoning capabilities to design-focused workflows. It is available to Claude Pro, Max, Team, and Enterprise subscribers.
Will Claude Opus 4.7 use more tokens than previous models?
Possibly. Due to its new tokenizer, Claude Opus 4.7 may use approximately 1x to 1.35x as many tokens compared to Opus 4.6 for equivalent content — up to about 35% more. Users and developers should account for this when estimating API costs or migrating existing workflows.
How do I access Claude Opus 4.7?
Claude Opus 4.7 is generally available now. You can access it through the Claude web interface (claude.ai) on Pro, Max, Team, and Enterprise plans, or via the Anthropic API using the model string claude-opus-4-7.
Conclusion
Claude Opus 4.7 is a meaningful, well-rounded upgrade — not just a benchmark chase. With high-resolution vision, adaptive thinking, task budgets, and a smarter tokenizer, Anthropic is clearly focused on making Claude the most reliable and practical AI model for real-world autonomous work. As AI models race toward AGI-level capabilities in 2026, Claude Opus 4.7 stands out not just for what it can do, but for how predictably and safely it does it.
Keep watching this space — Anthropic’s internal testing of Claude Mythos (a rumored 10-trillion parameter model) suggests the pace of innovation is only accelerating. The next Claude flagship could make even Opus 4.7 look modest.
