Claude Opus 4.7 Review: Pricing, What Changed, and When to Use It

Anthropic's latest flagship model brings major coding and vision improvements at the same price. We break down the verified specs, the hidden tokenizer change, and who should migrate.

Anthropic released Claude Opus 4.7 on April 16, 2026, and the headline sounds simple: same price as Opus 4.6, better at coding and vision. But there is more going on under the surface — including a tokenizer change that can quietly increase your bill by up to 35 percent even though the rate card did not change.

We verified the pricing against Anthropic's official API docs and dug into the release notes so you can decide whether to migrate, stay on Opus 4.6, or route selectively.

What Actually Changed in Opus 4.7?

The improvements fall into three categories: coding, vision, and thinking.

Coding is where the biggest gains are. Opus 4.7 scores 70 percent on CursorBench, up from 58 percent on Opus 4.6 — a 12-point jump on the industry's standard test for real-world coding tasks. On Hex's internal 93-task coding benchmark, it lifted resolution by 13 percent over Opus 4.6, including four tasks that neither Opus 4.6 nor Sonnet 4.6 could solve. Several early testers, including Stripe and Hex, report being able to hand off their hardest coding work to Opus 4.7 with confidence.

Vision got a major overhaul. Maximum image resolution increased from 1.15 megapixels to 3.75 megapixels (2,576 pixels on the long edge). Visual-acuity accuracy jumped from 54.5 percent to 98.5 percent. This means Opus 4.7 can now reliably read small text in screenshots, parse dense UI mockups, and extract information from high-resolution photographs that would have been useless in previous versions.

Adaptive thinking replaced extended thinking. Opus 4.7 no longer supports the old budget_tokens parameter for extended thinking. Instead, it uses adaptive thinking, which automatically decides how much reasoning effort to apply based on task complexity. In Anthropic's internal evaluations, adaptive thinking reliably outperforms the old extended thinking approach.

Source: Anthropic launch announcement and API documentation, April 16, 2026.

The Pricing: Same Rate Card, New Tokenizer

Opus 4.7 costs $5 per million input tokens and $25 per million output tokens — exactly the same as Opus 4.6. Batch processing gives you a 50 percent discount, and prompt caching can reduce costs by up to 90 percent with cache hits priced at just $0.50 per million input tokens.

The entire Claude model family now has clean, consistent pricing. Opus 4.7 and Opus 4.6 both cost $5 and $25. Sonnet 4.6 costs $3 and $15 (40 percent cheaper). Haiku 4.5 costs $1 and $5 (80 percent cheaper). All three include the full 1 million token context window at standard pricing — no surcharges for long inputs.

Here is the detail most coverage misses: Opus 4.7 uses a new tokenizer that produces up to 35 percent more tokens from the same input text. This means a request that cost you $0.10 on Opus 4.6 could cost $0.10 to $0.135 on Opus 4.7 for the identical prompt. The rate card is flat, but your invoice might not be.

The practical impact depends on your content type. Code tends to see smaller increases (5 to 15 percent more tokens). Natural language text sees moderate increases (10 to 25 percent). JSON payloads and structured data can hit the full 35 percent increase.

Before migrating a production workload, replay real traffic side by side and measure the actual cost difference. Do not assume 0 percent increase, and do not assume 35 percent either.

Source: Pricing verified at platform.claude.com/docs/en/about-claude/pricing, April 2026.

Who Should Upgrade to Opus 4.7?

Upgrade if you are building coding agents, especially autonomous or long-running ones. The combination of better coding quality, adaptive thinking, and task budgets makes Opus 4.7 the strongest model for agentic workflows available today. GitHub Copilot is already rolling it out as the default Opus model.

Upgrade if you work with images. The 3x resolution increase and near-perfect visual accuracy unlock use cases that were previously impractical: UI and UX review from full-resolution screenshots, document processing of contracts and invoices, and parsing complex architecture diagrams.

Upgrade if you use Claude Code. The new ultrareview command and auto mode (for Max subscribers) let Claude Code function as an autonomous development partner. Low-effort Opus 4.7 is roughly equivalent to medium-effort Opus 4.6, which means you get similar quality at lower compute cost.

Opus 4.7 is available on Claude Pro ($20 per month), Max ($100 to $200 per month), Team ($30 per user per month), and Enterprise plans. For API access, use the model identifier claude-opus-4-7.

Who Should Stay on Opus 4.6 or Sonnet 4.6?

Stay on Opus 4.6 if you have a production workload that depends on temperature, top_p, or top_k sampling parameters. Opus 4.7 returns a 400 error if you set any of these to a non-default value. This is a breaking change that will crash applications that use custom sampling.

Consider Sonnet 4.6 instead if cost matters more than peak performance. At $3 and $15 per million tokens, Sonnet is 40 percent cheaper than Opus and handles most production inference — RAG responses, content generation, tool use, and standard coding tasks — at a quality level that is close enough for the majority of use cases.

Stay on Haiku 4.5 for high-volume classification, content moderation, and simple extraction. At $1 and $5 per million tokens, it is 5x cheaper than Opus and fast enough for real-time applications.

The smart architecture for most teams: route simple tasks to Haiku, standard tasks to Sonnet, and only the hardest coding and reasoning tasks to Opus 4.7. This hybrid approach can reduce your blended cost per request by 40 to 60 percent compared to routing everything to Opus.

The Bottom Line

Claude Opus 4.7 is the best model available for agentic coding and high-resolution vision work. The pricing is unchanged from Opus 4.6, but the new tokenizer can increase your effective cost by up to 35 percent on the same prompts — so test before you migrate.

For most teams, the right move is not a full migration but selective routing: use Opus 4.7 for hard tasks, Sonnet 4.6 for standard work, and Haiku 4.5 for volume. That gives you access to the best model where it matters without paying the Opus premium across the board.

We track pricing across all Claude models — and 300 other AI tools — at aitoolsmentor.com. Visit our models page to compare API costs across 33 models from 8 providers.