Claude Opus 4.7 Pricing:
The Premium Model Cost Breakdown
Opus 4.7 is Anthropic's most capable model at $15/M input · $75/M output. This guide covers every token tier, real-world cost examples, and the key question: when is Opus actually worth the 5× premium over Sonnet?
Calculate My Opus Costs →Claude Opus 4.7 — Official Pricing (2026)
| Token Type | Price per 1M Tokens | Notes |
|---|---|---|
| Input (standard) | $15.00 | Fresh context on every call |
| Output | $75.00 | Generated tokens |
| Cache write | $18.75 | One-time fee to store a prompt block |
| Cache read Best value | $1.50 | Subsequent reads — 90% off standard input |
| Batch input 50% off | $7.50 | Async Batch API — offline workloads |
| Batch output 50% off | $37.50 | Async Batch API — offline workloads |
Opus vs Sonnet vs Haiku — Cost Comparison
| Model | Input | Output | Cache Read | Batch Input | Relative Cost |
|---|---|---|---|---|---|
| Haiku 4.5 | $0.80 | $4.00 | $0.08 | $0.40 | 1× |
| Sonnet 4.6 | $3.00 | $15.00 | $0.30 | $1.50 | ~4× |
| Opus 4.7 | $15.00 | $75.00 | $1.50 | $7.50 | ~19× |
Real-World Cost Examples
All examples use standard (non-cached) pricing unless otherwise noted. Batch API pricing used for the batch column.
Analyze 1,000 complex support tickets
Generate 500 technical blog posts
Run 200 autonomous coding sessions
Review 100 legal contracts
When to Use Claude Opus 4.7
Opus is not automatically the right choice — it's the right tool for the right job. Use this decision guide to route tasks correctly and avoid paying the premium unnecessarily.
Use Opus 4.7 when…
- Complex multi-step reasoning required
- Architecture or system design decisions
- Long-form research synthesis (>5,000 words)
- High-stakes agentic tasks where errors cascade
- Nuanced legal, medical, or financial analysis
- Tasks where one mistake is costly to fix
- Novel problem types without obvious templates
Use Sonnet or Haiku instead for…
- Routine coding and debugging
- Summarization of well-structured content
- Text classification and labeling at scale
- Customer support and FAQ responses
- Draft generation that will be human-reviewed
- Speed-sensitive real-time applications
- High-volume tasks where unit cost matters
Frequently Asked Questions
How much does Claude Opus 4.7 cost?
Claude Opus 4.7 costs $15 per million input tokens and $75 per million output tokens. Prompt cache write tokens cost $18.75/M (first-time caching fee) and cache read tokens cost $1.50/M — about 90% off the standard input price for cached context. Compared to Sonnet 4.6 ($3/$15/M), Opus is 5× more expensive per token.
Is Claude Opus worth the price compared to Sonnet?
Opus 4.7 is worth the premium for tasks where reasoning quality directly affects outcomes: complex multi-step analysis, nuanced code architecture decisions, long-form research synthesis, and autonomous agent runs where errors cascade. For most everyday coding and writing tasks, Sonnet 4.6 delivers 90%+ of Opus quality at 20% of the cost. The ROI on Opus depends on task complexity — not model preference.
What is Claude Opus 4.7 pricing for cache tokens?
Cache write tokens (the one-time fee to store context) cost $18.75 per million tokens for Opus 4.7 — 25% above the standard input price. Cache read tokens cost $1.50/M — 90% below the standard input price. If your Opus workflow uses a repeated system prompt of 2,000 tokens across 1,000 calls, caching cuts the input cost from ~$30 to ~$3.
How does Claude Opus 4.7 compare to GPT-4o in cost?
Claude Opus 4.7 ($15/M input, $75/M output) is more expensive than GPT-4o ($2.50/M input, $10/M output) per token. However, Opus typically requires fewer tokens to complete complex tasks due to deeper reasoning, partially offsetting the per-token premium. For research synthesis and long-horizon coding tasks, total cost-per-task can be comparable.
How can I reduce Claude Opus API costs?
Three strategies: (1) Prompt caching — if your system prompt exceeds 1,024 tokens and is reused across calls, caching cuts read cost to $1.50/M (90% off). (2) Batch API — for offline workloads, batch processing gives 50% off: $7.50/M input, $37.50/M output. (3) Model routing — use Opus only for the subset of queries requiring peak capability; route simpler sub-tasks to Sonnet or Haiku. Combining all three can reduce effective Opus cost by 60–80%.