Currently listed through these providers:
Model details
Claude Opus 4.7 (Fast)
Claude Opus 4.7 Fast is a speed-optimized sibling to the standard Opus 4.7 model, designed specifically for developers and applications where response latency directly impacts user experience or agent throughput. Rather than sacrificing capability for speed, this variant delivers identical reasoning, tool calling, and structured output abilities while pushing approximately 2.5 times higher output token throughput. The design philosophy centers on maintaining the full intelligence of the Opus family while removing bottlenecks that slow down interactive and multi-step workflows. This makes the Fast variant particularly attractive for AI coding assistants, autonomous agents, and real-time applications where each second of waiting compounds across long conversations.
The practical trade-off is economic rather than functional: the speed premium comes with a sixfold increase in output token costs, plus additional token inflation from a new tokenizer that can add 32–45% to total token counts. For high-value agent workflows where waiting costs more than tokens—such as automated trading, real-time customer support, or time-sensitive research tasks—this pricing structure can be justified by the productivity gains. OpenRouter's performance data shows average throughput around 99 tokens per second with end-to-end latency averaging 4.2 seconds, alongside a low tool call error rate of about 1%. These metrics suggest the Fast variant is engineered for reliability in production agent pipelines, where consistent speed and predictable tool behavior matter more than raw cost optimization.
Quick Info
Powered by- Provider
- OpenRouter
- Model key
- anthropic/claude-opus-4.7-fast
- Release date
- Apr 16, 2026
- Last updated
- Apr 16, 2026
- Knowledge cutoff
- 2026-01-31
- Input modalities
- Output modalities
- Capabilities
Cost
- Input token cost
- $30.00
- Output token cost
- $150.00
Limits
- Output tokens
- 128,000 tokens
- Context window
- 1,000,000 tokens