Claude Opus 4.7 Fast
claude-opus-4-7-fast- 🏢 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- 📚 Later superseded by the Opus 4.8 family
Anthropic PBC is an American artificial intelligence company headquartered in San Francisco. Structured as a public benefit corporation, the lab develops large language models under the Claude name, with a research emphasis on building reliable, steerable, and safety-focused AI…
Explore 12 more models by Anthropic →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 [[sibling:claude-opus-4-6-fast|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 [[sibling:claude-opus-4-7|Claude Opus 4.7]] offers the same intelligence without the speed optimization. Anthropic has since released [[sibling:claude-opus-4-8|Claude Opus 4.8]] and its fast variant [[sibling:claude-opus-4-8-fast|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 via VeniceStats + Venice inference, with no human editing. It may contain inaccuracies.
| Seller | Reputation↓ | Routing | Input $/M | Cached $/M | Output $/M | Categories | API |
|---|---|---|---|---|---|---|---|
| surplusintelligence.ai 0x0e49…8927 | 68 | #1 | $10.80 | $1.08 | $54.00 | agents,chat,cheap,code,coding,developer,fast,frontier,function-calling,multimodal,reasoning,research,tasks,tools,vision,web-search | openai-chat-completions |
| antseed-aggregator 0x8564…b8b4 | 67 | gated | $15.00 | $15.00 | $75.00 | chat,coding,fast | openai-chat-completions |
| NovaRoute AI 0xc50d…ed7b | 60 | gated | $4.2984 | $4.2984 | $21.492 | chat,coding,code,reasoning,research,tasks,fast,premium,claude,opus,value,surplus,openai-compatible,low-cost,verified,github,response-auth,base-usdc,monitored | openai-chat-completions |
| antseed-neon-puma-944e 0x6650…944e | 3 | gated | $12.276 | $3.60 | $61.38 | chat,coding,math | openai-chat-completions |
| Leftermute 0x388b…5389 | 0 | gated | $8.3628 | $8.3628 | $41.814 | chat,coding,json,reasoning,tools | openai-chat-completions |
"Best price" and the seller table are live AntSeed catalog data (advertised $/1M tokens — or $ per generated image for unit-billed image models — not settled amounts). Reputation = on-chain trust (0-100). "Routing" = the SDK's default buyer routing (what the VPR desktop app ships with): a trust ≥ 60 gate on the effective reputation, then cheapest-first among routable sellers; live failover state (per-peer cooldowns) is buyer-side runtime and not included. Model knowledge (TLDR, provider, About) via the VeniceStats enrichment layer. Advertised catalog, not the model used in any specific purchase. "Usage on AntSeed" counts only settlements whose buyers share the per-model split on-chain (metadata v2/v3, opt-in), so every usage figure is a lower bound.