Last updated: April 19, 2026
Anthropic shipped Claude Opus 4.7 on April 16, 2026 — two months after Opus 4.6. The new model narrowly retakes the lead for most powerful generally available LLM, with gains in agentic coding, high-resolution vision, and long-horizon reliability. Pricing is unchanged, but the tokenizer is not, so real cost per task can shift depending on workload.
This breakdown covers every meaningful change versus Opus 4.6, benchmark standings, pricing in USD and INR for Indian developers, 1M-context use cases, Claude Code integration, and a step-by-step upgrade path.
Key Takeaways
- Release: April 16, 2026 — Opus 4.7 is a drop-in upgrade to Opus 4.6, not a new model family (VentureBeat).
- Pricing: $5 / million input tokens, $25 / million output — identical to 4.6 (Anthropic pricing docs).
- Coding: Scores 70% on CursorBench (vs 58% for Opus 4.6), beats 4.6 on 12 of 14 reported benchmarks (llm-stats).
- Vision: First Claude to accept 2,576-px images (~3.75 MP), up from 1,568 px / 1.15 MP on 4.6 (AI Corner).
- New controls:
xhigheffort level, task budgets,/ultrareviewClaude Code command (Anthropic docs). - Availability: claude.ai, Anthropic API, AWS Bedrock, Google Vertex AI, Microsoft Foundry, GitHub Copilot (Pro+/Business/Enterprise) (AWS announcement).
What's New in Claude Opus 4.7 vs 4.6
Agentic Coding at a New Level
Opus 4.7 beats Opus 4.6 on 12 of 14 reported benchmarks. On CursorBench — which tests editing inside an IDE — Opus 4.7 scores 70% versus 58% on 4.6 (llm-stats). Anthropic credits this to more deliberate tool use, better self-verification, and stronger adherence to file-system memory conventions over longer sessions.
High-Resolution Vision
Opus 4.7 is the first Claude that can process images up to 2,576 pixels on the long edge — roughly 3.75 megapixels — compared to 1.15 MP on 4.6. On visual navigation without tools, full-resolution Opus 4.7 scores 79.5% versus 57.7% for 4.6 (AI Corner). That matters for Indian teams annotating dense financial filings, lab reports, architectural plans, and vernacular-script documents.
The New xhigh Effort Level
Opus 4.6 exposed four effort levels — low, medium, high, and max. Opus 4.7 adds xhigh, between high and max, so you can dial in more reasoning without the full latency of max (Anthropic docs).
Task Budgets
Opus 4.7 introduces task budgets — a rough estimate of how many tokens to target across an entire agentic loop, rather than capping each step individually. For long-running agents on Bedrock or Vertex, this reduces the need for manual compaction (AWS blog).
Stricter Instruction Following
Opus 4.7 follows instructions more literally than any prior Claude model. Anthropic flags this as a migration concern: prompts that relied on loose interpretation in 4.6 may return unexpected results, so re-run eval suites rather than assume drop-in parity (Techloy).
Safety Upgrades from Mythos Preview
Opus 4.7 is the first Claude to ship with automated detection and blocking for prohibited cybersecurity uses, carried over from Anthropic's Mythos research preview (CNBC).
Benchmarks: Opus 4.7 vs GPT-5.4, Gemini 3.1 Pro, Grok 4, Llama 4
Anthropic claims Opus 4.7 exceeds its most direct rivals — GPT-5.4 and Gemini 3.1 Pro — on agentic coding, scaled tool-use, agentic computer use, and financial analysis (Tom's Guide). It concedes Terminal-Bench and BrowseComp to competitors. Standings from the wider 2026 benchmark pool (Adam Holter rankings):
| Benchmark | Claude Opus 4.7 | GPT-5.4 | Gemini 3.1 Pro | Grok 4 | Llama 4 | |---|---|---|---|---|---| | Agentic coding (SWE-bench-style) | Leader on scaled tool-use | 74.9% SWE-bench | — | 75% SWE-bench | Below frontier | | GPQA Diamond | 91.3% | 92.8% | 94.3% | — | — | | ARC-AGI-2 | — | 73.3% | 77.1% | — | — | | Computer use (OSWorld) | Leader on agentic computer use | 75% | — | — | — | | Context window | 1M tokens | 1M | 1M+ | 2M | 128K–10M tiers | | Output tokens | 128K | 64K–100K | ~64K | — | — |
The short read: Opus 4.7 wins agentic, coding, and long-horizon tasks, GPT-5.4 wins desktop automation, Gemini 3.1 Pro wins pure reasoning, and Grok 4 wins raw SWE-bench while offering the widest context (LM Council benchmarks).
Pricing: Opus 4.7 in USD and INR
Pricing is identical to Opus 4.6 (Anthropic pricing):
| Tier | USD | INR (approx at ~83.5/USD, excl GST) | |---|---|---| | API input | $5 / M tokens | ~₹418 / M tokens | | API output | $25 / M tokens | ~₹2,088 / M tokens | | Claude Pro | $20 / month | ~₹1,670 / month | | Claude Max 5x | $100 / month | ~₹8,350 / month | | Claude Max 20x | $200 / month | ~₹16,700 / month | | Team (Standard) | $25 / seat / month | ~₹2,088 / seat | | Team (Premium) | $150 / seat / month (5+ seats) | ~₹12,525 / seat | | Enterprise | Custom | Custom |
Indian users still pay in USD — Anthropic does not yet offer INR-localized plans (Anthropic GitHub issue #17432). GST at 18% applies. Cost caveat: Opus 4.7 ships with a new tokenizer that can produce 1.0–1.35× more tokens for the same input (Finout). Expect bills to creep up on vision-heavy or long-context calls. Prompt caching still saves up to 90%, Batch API 50%.
1M-Context Use Cases
Opus 4.7 ships a full 1M-token context window at standard API pricing with no long-context premium (Claude help centre). Practical use cases for Indian teams (Caylent):
- Entire-codebase refactors — feed a large monorepo and a CLAUDE.md, ask for a typed-migration diff.
- Multi-day agent sessions — combine 1M context with file-system memory so Opus carries context across sprints without costly compaction.
- Due-diligence reading — parse an entire DRHP plus five years of annual reports in one call.
- Research synthesis — load a PhD thesis corpus plus 200 arXiv papers and ask for a gap analysis.
- Legal review — pull in all contract drafts for a matter and surface inconsistencies.
Related: Claude Code tutorial for India, Claude Code custom commands, Claude Skills guide.
Claude Code and the New /ultrareview
Inside Claude Code, Opus 4.7 unlocks a new /ultrareview command for deeper pre-production code reviews (Decrypt). Combined with xhigh and 1M context, Opus 4.7 is strong for large multi-file refactors, root-cause debugging, dependency upgrades that touch hundreds of call sites, and multi-day agents carrying their own memory files. See our Claude Code tutorial for Indian developers.
Availability: Where Indian Developers Can Access Opus 4.7
- claude.ai web & desktop app — available on Pro, Max, Team, and Enterprise plans (claude.com pricing).
- Anthropic API — model ID
claude-opus-4-7(Anthropic docs). - AWS Bedrock — generally available in multiple regions (AWS announcement).
- Google Cloud Vertex AI and Microsoft Foundry — GA on launch day (XDA Developers).
- GitHub Copilot — available to Pro+, Business, and Enterprise users; capped at 200K context inside Copilot, 1M in Claude Code (GitHub changelog). Launching at a 7.5× premium request multiplier through April 30 (Allthings.how).
UPI and Indian cards are accepted on claude.ai billing; Bedrock and Vertex bill through AWS/GCP, which both support INR-billed Indian business accounts.
How Indian Developers Should Start
Existing Claude Pro or Max users can pick Opus 4.7 from the model picker today. API users swap the model ID. First-time users:
- Sign up at claude.ai with an Indian mobile or Google account.
- Start on Free to test limits.
- Upgrade to Pro ($20 / ~₹1,670) when you hit daily caps.
- Hook up the API via
platform.claude.comand get $5 trial credits. - Install Claude Code for terminal workflows.
For model-choice guidance see which AI model to use and latest AI models 2026.
How to Upgrade from Opus 4.6 to Opus 4.7 (Step-by-Step)
This section is written so the site can project a HowTo JSON-LD schema cleanly.
Step 1: Audit every call site using claude-opus-4-6
Grep your codebase for the string claude-opus-4-6 and list every call site, including prompts, SDK files, eval harnesses, and prompt-cache fingerprints.
Step 2: Swap the model ID to claude-opus-4-7
Edit each call site to use claude-opus-4-7. The API surface is identical — no SDK version bump is required for most users (Anthropic docs).
Step 3: Re-run your eval suite
Opus 4.7 follows instructions more literally. Run your evaluation suite against the new model and compare pass rates. Pay particular attention to prompts that relied on loose interpretation, multi-step plans that expected the model to "fill in" missing steps, and vision prompts where higher resolution changes the answer.
Step 4: Tune effort level
For coding and agentic tasks, set effort to high or xhigh. For chat and content tasks, medium or high is usually sufficient. Avoid max except for one-off hard problems — it burns tokens.
Step 5: Set a task budget for long agents
For multi-step agents, set a task budget that caps total tokens across the full loop. This prevents runaway costs if a single tool call regresses.
Step 6: Update prompt caches and fingerprints
Prompt-cache keys tied to the old model ID will miss after the switch. Regenerate cache fingerprints and re-warm the cache for your top prompts.
Step 7: Monitor cost per request for a week
The new tokenizer may push your per-request costs up 0–35% depending on content mix. Track cost per task for a full week and rebalance effort levels or batch usage if the bill runs hotter than expected (Finout).
Step 8: Enable the /ultrareview command in Claude Code
If you use Claude Code, the /ultrareview slash command is available on Opus 4.7 for deeper pre-commit reviews. Add it to your CLAUDE.md checklist for production branches.
FAQs
Is Claude Opus 4.7 a major new model family?
No. Anthropic describes it as a drop-in upgrade to Opus 4.6 with the same price, stronger capabilities per token, and longer reliable runs (llm-stats). The model ID simply changes from claude-opus-4-6 to claude-opus-4-7.
How much does Opus 4.7 cost in INR?
API pricing is $5 / million input tokens and $25 / million output — roughly ₹418 and ₹2,088 respectively at current exchange rates. Claude Pro is $20/month (~₹1,670). Anthropic does not yet offer INR-localized subscription plans (Anthropic pricing).
Can I use Opus 4.7 in Claude Code?
Yes. Opus 4.7 is a selectable model inside Claude Code, and it unlocks the new /ultrareview command plus the 1M context window. See our Claude Code tutorial for India for setup.
Which is better for Indian developers: Opus 4.7 or GPT-5.4?
Opus 4.7 wins agentic coding, scaled tool-use, and long-context work; GPT-5.4 wins on some desktop-automation benchmarks and currently edges Opus on GPQA Diamond (Adam Holter rankings). For Indian developers doing codebase work, Opus 4.7 is the stronger default today.
Does GitHub Copilot include Opus 4.7?
Yes, for Pro+, Business, and Enterprise users. Inside Copilot the model is locked to medium reasoning effort and capped at 200K context, launching at a 7.5× premium request multiplier through April 30, 2026 (GitHub changelog).