AnthropicAnthropic·💬 Text Generation

Claude Opus 4.7 Fast

ReasoningVisionCodeFunction CallingWeb Searchanonymized
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Quick reference
Claude Opus 4.7 Fast — TLDR
  • 🏢 Anthropic's speed-optimized variant of its Opus 4.7 model
  • 📏 Full 1M-token context window for large workloads
  • ⚡ Tuned for lower latency in interactive, real-time use
  • 🧠 Strong complex reasoning and agentic coding capabilities
  • 🔧 Supports function calling, vision, and web search
  • 🆕 Builds on the Opus 4.6 generation
  • 🎯 Same underlying intelligence as standard Opus 4.7
  • 📚 Later superseded by the Opus 4.8 family
💰 Pricing
$36.00 / $180
per 1M · input / output
📏 Context
1M tokens
📅 On Venice since
May 14, 2026
21 days ago
Provider

Anthropic is an American artificial intelligence company headquartered in San Francisco, focused on developing large language models under the Claude family. Founded with a strong emphasis on AI safety research, the company has become one of the most…

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9 models on Venice
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Since Jan 15, 2025

About this model

Claude Opus 4.7 Fast is the speed-optimized configuration of Anthropic's Opus 4.7, a generally available model built for complex reasoning and agentic coding. It runs the same underlying Opus 4.7 model but is tuned for lower latency, making it suited to latency-sensitive workflows like live debugging and rapid iteration. It carries the full feature set, including a 1M-token context window and Anthropic's stated strengths in long-horizon agentic work.

Compared with its same-family predecessor Claude Opus 4.6 Fast, the 4.7 generation reflects Anthropic's reported gains in agentic work, knowledge tasks, vision, and deductive logic. Anthropic's Opus 4.7 announcement reports improvement on a finance evaluation, scoring 0.813 on its General Finance module versus 0.767 for Opus 4.6.

The standard Claude Opus 4.7 offers the same intelligence without the speed optimization. Anthropic has since released Claude Opus 4.8 and its fast variant Claude Opus 4.8 Fast, which Anthropic describes as targeting better long-context handling, fewer compactions, and more reliable tool triggering.

This About section is AI-generated from public sources (Claude Opus 4.8), with no human editing. It may contain inaccuracies — verify critical details against the sources listed above.

Data sources: Venice API · HuggingFace · Wikipedia — enrichment updated 6d ago