Claude Opus 5 cost & VRAM calculator
What does Claude Opus 5 cost to run for your workload, and can you run it on your own hardware? Set your workload below - we compute per-provider API cost live and tell you honestly whether local hardware can run it.
This is where owning stops making sense
Claude Opus 5 is a large-billion-parameter model. No rig an individual can buy runs it - so unlike a workstation GPU model, there's no break-even to compute. The honest answer for nearly everyone is the per-provider API cost below.
Proprietary dense model from Anthropic. Parameter count is undisclosed. Native 1M-token context, 128K max output, knowledge cutoff May 2026. Adaptive thinking is on by default and can only be disabled at high effort or below; effort levels run low through max. Prompt caching minimum is 512 tokens (down from 1,024 on Opus 4.8). Modalities: text, image, and PDF input; text output. Up to 600 images or PDF pages per request. Pricing (standard): $5/1M input, $25/1M output. Pricing (Fast mode): $10/1M input, $50/1M output. Agents on Rails benchmark (Aug 2026, Le Mans round). 92.1% accuracy on 63 runs - the top score in the 16-model field. Anthropic positioned Opus 5 as a step-change in agentic coding and long-horizon tasks, and the Rails leaderboard is the first public, same-harness confirmation of that claim. The cost was roughly $1.90 mean per run, so the win is raw accuracy, not efficiency.
Your workload
API cost for your workload
| Provider | Rate ($/1M) | Monthly cost |
|---|---|---|
| Anthropic may be stale | $5.00 in · $25.00 out | $0.12 cheapest |
| DigitalOcean may be stale | $5.00 in · $25.00 out · $0.50 cache | $0.12 cheapest |
Monthly cost is an estimate from list prices and your workload - verify against the provider before committing. Cached fraction applies the cache rate to that share of input.
Can you run it locally?
Claude Opus 5 has no published quantization that fits a rig one person can buy, so there's no local-hardware recommendation and no break-even to compute. The honest answer is the per-provider API cost above.
Proprietary dense model from Anthropic. Parameter count is undisclosed. Native 1M-token context, 128K max output, knowledge cutoff May 2026. Adaptive thinking is on by default and can only be disabled at high effort or below; effort levels run low through max. Prompt caching minimum is 512 tokens (down from 1,024 on Opus 4.8). Modalities: text, image, and PDF input; text output. Up to 600 images or PDF pages per request. Pricing (standard): $5/1M input, $25/1M output. Pricing (Fast mode): $10/1M input, $50/1M output. Agents on Rails benchmark (Aug 2026, Le Mans round). 92.1% accuracy on 63 runs - the top score in the 16-model field. Anthropic positioned Opus 5 as a step-change in agentic coding and long-horizon tasks, and the Rails leaderboard is the first public, same-harness confirmation of that claim. The cost was roughly $1.90 mean per run, so the win is raw accuracy, not efficiency.
See the model card for the full architecture notes and any cloud subscription plans.