Speechmatics - API for Voice AI Agents
Mini toolsClaude Opus 4.7
By Anthropic
Model family: Claude
Claude Opus 4.7 is Anthropic’s new GA flagship focused on hard engineering workflows, long-horizon agent tasks, and more reliable execution. Anthropic says it improves on Opus 4.6 in advanced software engineering, handles complex long-running tasks with more rigor and self-verification, and also brings substantially better vision with higher-resolution image understanding. It is available across Claude products, the API, Amazon Bedrock, Vertex AI, and Microsoft Foundry, with pricing unchanged from Opus 4.6 at $5 per million input tokens and $25 per million output tokens.
New
Multimodal
Gen 3
Overview
Claude Opus 4.7 is Anthropic’s latest generally available frontier model, tuned for advanced software engineering, long-running autonomous tasks, stronger instruction following, and better high-resolution vision. It is positioned as a clear upgrade over Opus 4.6, especially for difficult coding work, while keeping the same pricing.
About Anthropic
Anthropic is a technology company specializing in artificial intelligence and machine learning solutions.
Industry:
Artificial Intelligence
Company Size:
3673
Location:
San Francisco, California, US
Website:
anthropic.com
Benchmark scores
How Claude Opus 4.7 ranks on tracked AI benchmarks. Click any benchmark to see its full leaderboard.
Compare across all benchmarks →Tools using Claude Opus 4.7
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Claude — v5.0Claude Fable 5 State-of-the-art on Cognition's FrontierCode eval, scoring highest among frontier models even at medium effort. More token-efficient than prior Claude models. Stripe reported a codebase-wide migration on a 50M-line Ruby codebase done in a day, versus an estimated two-plus months by hand. Highest score of any model on Hebbia's Finance Benchmark (senior-level reasoning), with major gains in document reasoning, chart and table interpretation, and problem solving. IMC reported near-across-the-board top results on trading-analysis evals (factual lookup, conceptual reasoning, root-cause analysis, expected-value analysis). New state-of-the-art for vision tasks. Extracts precise numbers from scientific figures and can rebuild a web app's source code from screenshots alone. Needs less scaffolding: beat Pokémon FireRed with a minimal vision-only harness, where earlier models needed complex helper harnesses. Stays focused across millions of tokens on long-running tasks and improves its outputs using its own notes. With persistent file-based memory in Slay the Spire, performance improved 3x more than Opus 4.8, and it reached the final act 3x more often. Works autonomously for longer than any prior Claude model
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From prompt to tested production agents in hours.Open
Last updated: April 17, 2026
