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FlagshipAnthropic
Claude Opus 4.7
Claude Opus 4.7 is a model in Anthropic's Claude Opus line, positioned at the Opus tier with a 1M-token context window and text plus image input.
Context 1.0M
Tier Flagship
Knowledge Jan 2026
Modalities text, image
Input from
$2.50 / 1M tokens
across 4 providers
API Pricing
Cheapest on Anthropic — 40% below avg| Provider | Input / 1M | Output / 1M | Cached / 1M |
|---|---|---|---|
| $2.50 | $12.50 | $0.250 | |
| $2.50 | $12.50 | $0.250 | |
| $5.00 | $25.00 | - | |
| $5.00 | $25.00 | $0.500 | |
| $5.00 | $25.00 | $0.500 | |
| $5.00 | $25.00 | $0.500 |
Prices updated daily. Last check: Sep 6, 2026
Claude Opus 4.7 pricing by provider
Input, output, and batch rates, plus alternatives, for one provider at a time.
Performance & Benchmarks
Source: Artificial Analysis →Intelligence
35.4 / 100
Reasoning & Knowledge
- GPQA Diamond88.5%
- Humanity's Last Exam33.3%
Agentic & Tool Use
- Terminal-Bench Hard54.5%
- τ²-bench74.0%
Instruction & Long Context
- IFBench43.6%
- Long-Context Reasoning75.7%
Benchmarks measured Sep 2026. Scores are independent evaluations, not vendor-reported.
Model Details
General
- Creator
- Anthropic
- Family
- Opus
- Tier
- Flagship
- Context Window
- 1.0M
- Knowledge Cutoff
- Jan 2026
- Modalities
- Text, Image
Capabilities
- Tool Calling
- No
- Open Source
- No
- Aliases
- claude-opus-4-7, claude-opus-4-7-20260416, Claude Opus 4.7
Strengths & Limitations
Strengths
- 1,000,000-token context window supports whole-repository and large document-set inputs in one request
- Accepts image input alongside text, enabling document, screenshot, and diagram analysis
- Opus-tier positioning within Anthropic's Claude lineup, above the Sonnet and Haiku tiers
- Dated snapshot alias (claude-opus-4-7-20260416) allows version pinning for reproducible deployments
- Knowledge cutoff recorded as January 2026, later than earlier Claude generations
- Long context suits multi-step agent loops where full history is retained rather than summarized
Limitations
- Opus-tier models are generally the costlier option relative to smaller tiers in the same family — check the pricing table for current provider rates
- Throughput and time-to-first-token benchmarks are not populated in our dataset, so speed must be validated per provider
- Filling a 1M-token context raises per-request cost and latency, so prompt hygiene still matters
- Provider availability for Opus-tier models is typically narrower than for widely mirrored open-weight models
- Lighter Claude tiers may be more economical for high-volume classification or extraction tasks
Key Features
•1,000,000-token context window
•Text and image (vision) input
•Opus flagship tier of Anthropic's Claude family
•Version-pinnable dated model snapshot (claude-opus-4-7-20260416)
•January 2026 recorded knowledge cutoff
•Long-horizon multi-turn and agentic workload support
•Multiple API aliases (claude-opus-4-7, Claude Opus 4.7)
About Claude Opus 4.7
Claude Opus 4.7 is a large language model from Anthropic and part of the company's Opus family, the tier Anthropic positions above its Sonnet and Haiku lines. It is exposed through API identifiers such as claude-opus-4-7 and the dated snapshot claude-opus-4-7-20260416, which lets applications pin to a fixed version rather than tracking a moving alias.
The model accepts both text and image input and supports a context window of up to 1,000,000 tokens, which is large enough to hold entire code repositories, long document sets, or extended multi-turn agent transcripts in a single request. Our metadata records a knowledge cutoff of January 2026. Throughput and latency figures from Artificial Analysis are not populated in our dataset for this model, so measured tokens-per-second and time-to-first-token should be verified against your chosen provider.
In practice, Opus-tier Claude models are typically used where output quality and long-horizon consistency matter more than per-token cost: multi-step agents, large-scale code review and refactoring, technical research synthesis, and workflows that mix document images with text. Compared with smaller Claude tiers, Opus 4.7 is the option to reach for when a task fails on lighter models; compared with earlier Opus generations, it carries a later recorded knowledge cutoff and the 1M-token context figure in our metadata.
Common Use Cases
Claude Opus 4.7 fits workloads where task difficulty and context length are the binding constraints. The 1M-token window makes it suitable for reasoning across an entire codebase during refactors or migrations, reviewing large contract and compliance document sets, and running agents that must retain long tool-call histories without aggressive summarization. Image input extends this to mixed-media material such as scanned reports, UI screenshots, charts, and architecture diagrams. For high-volume, low-complexity jobs — routing, tagging, short summarization — a smaller Claude tier or a lighter competitor is usually the more cost-effective fit, with Opus 4.7 reserved for the requests that fail elsewhere.
Frequently Asked Questions
How much does Claude Opus 4.7 cost?
Pricing depends on the provider and the pricing model in use — standard per-token input and output rates, batch processing, and cached input are often billed differently, and rates change over time. See the pricing table on this page for current figures across the providers we track.
What is Claude Opus 4.7 best used for?
It suits complex, long-context work: repository-scale code analysis, large document review, technical research synthesis, and multi-step agents that need to keep long histories in context. Its 1M-token window and image input make it a fit for tasks that combine large text volumes with visual material.
How large is the context window?
Our metadata records a context window of 1,000,000 tokens for Claude Opus 4.7. Some providers may expose a smaller effective limit or bill long-context requests differently, so confirm the ceiling with your specific provider.
Can Claude Opus 4.7 process images?
Yes. The model's recorded modalities are text and image, so it accepts image input alongside text prompts for tasks such as reading scanned documents, charts, and screenshots.
How does Claude Opus 4.7 differ from smaller Claude tiers?
Opus is Anthropic's flagship tier, positioned above Sonnet and Haiku, and is generally chosen for the hardest tasks rather than for throughput-sensitive volume work. Smaller tiers typically cost less per token and respond faster, so a common pattern is routing routine requests to a lighter Claude model and escalating only difficult cases to Opus 4.7.
What is the knowledge cutoff for Claude Opus 4.7?
Our metadata lists a knowledge cutoff of January 2026. For events or libraries newer than that, supply the relevant material in the prompt or via retrieval rather than relying on the model's internal knowledge.