Complex software engineering
Work through difficult multi-file implementation, debugging and code-review tasks with tools and verification loops.
Independent tool overview
Claude Opus 4.7 at a glance
Claude Opus 4.7 is an active Anthropic model built for difficult coding, long-running agents, high-resolution vision and complex professional work, though newer Opus 4.8 and Opus 5 models now sit above it.
Visit the official Claude Opus 4.7 site ↗
- API model ID
- claude-opus-4-7
- Lifecycle
- Active
- Context window
- 1 million tokens
- Maximum output
- 128,000 tokens
- Standard API price
- $5 input / $25 output per million tokens
- Availability
- Claude API, Bedrock, Vertex AI and Microsoft Foundry
Overview
What Claude Opus 4.7 is
Claude Opus 4.7 improved on Opus 4.6 in advanced software engineering, instruction following, long-horizon work and high-resolution visual analysis. It supports a one-million-token context window, adaptive thinking, tool use and outputs up to 128,000 tokens.
The model remains active in Anthropic's API lifecycle table, with retirement listed as no sooner than April 16, 2027. It is no longer Anthropic's newest Opus model, so new projects should benchmark Opus 4.8 and Opus 5 before choosing 4.7.
Opus 4.7 keeps the $5 input and $25 output price per million tokens used by nearby Opus releases, but the same text can tokenize roughly 1.0 to 1.35 times higher than it did on Opus 4.6. Higher visual resolution and deeper effort can also raise token usage.
Use cases
Who Claude Opus 4.7 is best for
The strongest fit depends on the job you need the product to complete, not the size of its feature list.
Long-running agents
Handle multi-step workflows that require sustained instruction following and recovery across many tool calls.
Document and visual analysis
Reason over large source collections, detailed images, diagrams and professional documents.
Capabilities
Core Claude Opus 4.7 features
One-million-token context
Processes very large prompts at the standard per-token rate without a separate long-context premium.
Adaptive thinking
Lets the model adjust reasoning effort to the task when explicitly enabled through the API.
Large outputs
Supports up to 128,000 output tokens for extensive code, documents or structured results.
High-resolution vision
Processes images at higher fidelity than Opus 4.6, improving detailed diagram and document work while using more tokens.
Broad tool support
Works with client and server tools including bash, code execution, computer use, web search, web fetch, MCP and memory.
Prompt caching and batches
Caching lowers repeated-input costs, while asynchronous batch processing discounts input and output tokens by 50%.
Process
How the Claude Opus 4.7 workflow works
Step 1
Define a real evaluation set
Collect representative coding, document and agent tasks with objective success criteria.
Step 2
Retune the harness
Enable adaptive thinking deliberately, remove unsupported manual-thinking or sampling parameters and review literal instruction behavior.
Step 3
Measure total token cost
Compare quality and spend using the new tokenizer, tool overhead, visual inputs and later-turn reasoning.
Step 4
Choose the lifecycle path
Keep 4.7 for validated compatibility or migrate to a newer Opus model after regression and cost testing.
Cost
Claude Opus 4.7 pricing and free plan
Claude Opus 4.7 costs $5 per million standard input tokens and $25 per million output tokens. Batch requests are half price, and prompt-cache reads cost one-tenth of normal input. Cloud-provider and data-residency pricing can differ.
Standard API
$5 input / $25 output per MTok
First-party Claude API global-routing price.
- 1M context at the standard rate
- $6.25 per MTok for five-minute cache writes
- $10 per MTok for one-hour cache writes
- $0.50 per MTok for cache hits
Batch API
$2.50 input / $12.50 output per MTok
Asynchronous processing with a 50% token discount.
- Best for non-interactive bulk work
- Batch turnaround constraints apply
- Prompt caching can still apply
Cloud and residency options
Provider dependent
Bedrock, Vertex AI, Microsoft Foundry and restricted routing have separate modifiers.
- US-only first-party inference carries a 1.1x multiplier
- Regional partner endpoints may carry a premium
- Check the billing provider before deployment
Pricing checked . Check current pricing at the source ↗
Assessment
Claude Opus 4.7 strengths and limitations
Where it stands out
- Strong long-horizon coding and agent behavior compared with Opus 4.6
- One-million-token context and 128K output support unusually large workflows
- High-resolution vision improves detailed image and document understanding
- Active model with broad API and cloud-platform availability
What to consider
- Opus 4.8 and Opus 5 are newer, so 4.7 is rarely the default choice for a greenfield project
- The newer tokenizer can produce roughly 30% more tokens for the same text than Opus 4.6
- Fast mode is not available for Opus 4.7
- Adaptive thinking is off by default and manual extended-thinking budgets are unsupported
- More literal instruction following can expose brittle or contradictory prompts
- Cyber safeguards may block high-risk requests, with verification required for some legitimate security work
Compare
Claude Opus 4.7 alternatives
The right alternative depends on the specific output, workflow, controls and budget your project requires.
Consumer
Claude Opus 4.8
Choose Opus 4.8 for a newer Anthropic model at the same standard token price and with fast-mode support.
Explore Claude Opus 4.8 →Consumer
GPT 5.4
Choose GPT-5.4 to compare OpenAI's advanced reasoning, coding and agent ecosystem.
Explore GPT 5.4 →Consumer
Gemini 3.1 Pro
Choose Gemini 3.1 Pro for Google's flagship reasoning model and cloud integration.
Explore Gemini 3.1 Pro →Questions
Claude Opus 4.7 FAQs
Is Claude Opus 4.7 still available?
Yes. Anthropic lists claude-opus-4-7 as active, with retirement not scheduled sooner than April 16, 2027. Newer Opus models are also available.
How much does Claude Opus 4.7 cost?
The first-party API price is $5 per million input tokens and $25 per million output tokens. Batch processing is half price, while cloud routing and residency options can change the total.
What is the Claude Opus 4.7 context window?
The model supports one million input tokens and up to 128,000 output tokens at standard per-token pricing.
Should a new application use Opus 4.7?
Usually, benchmark Opus 4.8 and Opus 5 first. Use 4.7 when it already passes a validated workload, compatibility matters or a newer model introduces an unacceptable regression.
What changes when migrating from Opus 4.6?
Expect a newer tokenizer, more literal instruction following, adaptive thinking instead of manual extended-thinking budgets and additional parameter changes. Re-run cost and behavior evaluations rather than swapping the model ID blindly.
Bottom line
Our Claude Opus 4.7 verdict
Claude Opus 4.7 remains a capable active model for demanding coding and agent systems, but it is now a compatibility or benchmarked-workload choice rather than Anthropic's frontier default. New deployments should compare newer Opus models at the task, latency and total-token level.
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