Claude Opus 4.7 API Pricing: Frontier Reasoning at Scaled Economics
Comprehensive Claude Opus 4.7 API pricing analysis ($5.00/M input, $25.00/M output), prompt caching breaks, extended thinking tokens, and coding benchmarks.
How much does Claude Opus 4.7 cost per million tokens?
Claude Opus 4.7 costs $5.00 per million input tokens and $25.00 per million output tokens ($10.00/M blended at 3:1). Provides high-capability autonomous reasoning, complex software architecture design, and nuanced writing. Verified 2026-09-08.
How much does Claude Opus 4.7 cost per 1,000 requests?
Computed from generated token pricing. Each row assumes the listed input and output tokens per request; this model has no measured verbosity factor, so the unadjusted output estimate is shown.
| Request shape | Input tokens | Output tokens | Cost / 1,000 requests |
|---|---|---|---|
| Short | 100 | 50 | $1.7500 |
| Medium | 1,000 | 500 | $17.5000 |
| Long | 4,000 | 2,000 | $70.0000 |
Formula: ((input price × input tokens) + (output price × output tokens × verbosity factor)) ÷ 1,000,000 × 1,000. Assumptions: short 100/50, medium 1,000/500, long 4,000/2,000 input/output tokens per request. Unadjusted — no measured verbosity factor is available.
Volume ladder, output-cost sensitivity, and migration ledger for Claude Opus 4.7
1. Fixed-shape monthly cost ladder
| Workload | Input / output tokens | 100K requests | 1M requests | 10M requests |
|---|---|---|---|---|
| Short chat | 500 / 150 | $625.00 | $6250.00 | $62500.00 |
| Code review | 4,000 / 800 | $4000.00 | $40000.00 | $400000.00 |
| Document summary | 16,000 / 2,000 | $13000.00 | $130000.00 | $1300000.00 |
Cost = requests × (input tokens × $5.00/M + output tokens × $25.00/M) ÷ 1,000,000, at three fixed text-token workload shapes. No volume discount, cache, or batch rate is inferred — Claude Opus 4.7's registry entry does not price those tiers.
2. Output-token cost-sensitivity band
| Workload | Input cost (1 request) | Output cost (1 request) | Output share of spend |
|---|---|---|---|
| Short chat | $0.0025 | $0.0037 | 60.0% |
| Code review | $0.02 | $0.02 | 50.0% |
| Document summary | $0.08 | $0.05 | 38.5% |
Output share = output-token spend ÷ (input-token spend + output-token spend) for a single request at each shape. Across these three shapes, Claude Opus 4.7's output share spans 38.5% to 60.0% — a 21.5%-point swing driven entirely by workload shape, not by any change in the $5.00/$25.00 per-1M rates.
3. Successor rate delta and lifecycle ledger
| Rate | Claude Opus 4.7 | Claude Opus 4.8 | Delta ($ / %) |
|---|---|---|---|
| Input $/M | $5.00 | $5.00 | $0.0000 (0.0%) |
| Output $/M | $25.00 | $25.00 | $0.0000 (0.0%) |
Delta = successor rate − Claude Opus 4.7 rate, both taken from the current dated pricing registry. Cache, batch, and context-tier pricing are not substituted across models; each figure is model-specific or marked Unavailable.
| Field | Recorded value | Note |
|---|---|---|
| Lifecycle status | legacy | Verified 2026-08-14 |
| Deprecation announced | Unavailable | No inference beyond the dated record |
| Shutdown date | Unavailable | Null/unavailable is not a promise of indefinite availability |
| Successor | Claude Opus 4.8 | claude-opus-4-8 priced in this registry |
| Context window | Unavailable | Unavailable — no model-specific spec sourced |
Price verified 2026-04-06; lifecycle verified 2026-08-14. Luna is the data owner. "Unavailable" means no compatible dated evidence was found for that field; it is never treated as zero. Dated price source · lifecycle source · Test Claude Opus 4.7 in All AI Ask.
claude-opus-4-7Claude Opus 4.7 API Pricing: Frontier Reasoning at Scaled Economics
Claude Opus 4.7 costs $5.00 per million input tokens and $25.00 per million output tokens ($10.00/M blended at 3:1). Provides high-capability autonomous reasoning, complex software architecture design, and nuanced writing. Verified 2026-09-08.
Claude Opus 4.7 delivers deep intellectual rigor and long-form synthesis at $10.00/M blended.
| Scenario | Rendered Evidence & Bounds |
|---|---|
| Scenario 1 | Full monorepo architecture review (32K in, 4K out): $0.26000 per deep analysis |
| Scenario 2 | Multi-chapter creative writing revision (16K in, 6K out): $0.23000 per chapter draft |
| Scenario 3 | Legal contract vulnerability discovery (48K in, 3K out): $0.31500 per agreement |
| Scenario 4 | Complex mathematical simulation code (8K in, 3K out): $0.11500 per script execution |
| Scenario 5 | Autonomous agent multi-turn task (64K in, 8K out): $0.52000 per full agent execution |
| Scenario 6 | Enterprise monthly research tier (50M blended tokens): $500.00 infrastructure cost |
Prompt caching transforms large context windows from costly experiments into economical infrastructure.
| Scenario | Rendered Evidence & Bounds |
|---|---|
| Scenario 1 | Repository codebase cache (100K cached prefix, 5K delta in): 82% input cost reduction |
| Scenario 2 | Legal precedent corpus cache (150K cached prefix, 10K delta in): 84% input cost reduction |
| Scenario 3 | API reference schema cache across 10 interactive developer queries: 81% input savings |
| Scenario 4 | Cached input token price ($0.50/M) makes 200K context interactions economically viable |
| Scenario 5 | Cache write fee ($6.25/M) fully amortized after only 2 repeat queries within TTL |
| Scenario 6 | Net operational cost reduction exceeds 68% for persistent multi-turn agent systems |
Extended thinking tokens provide measurable defect insurance for mission-critical software codebases.
| Scenario | Rendered Evidence & Bounds |
|---|---|
| Scenario 1 | 4,000 thinking tokens allocated to formal code verification: $0.10000 additional cost |
| Scenario 2 | 8,000 thinking tokens for concurrency deadlock analysis: $0.20000 insurance against outages |
| Scenario 3 | 16,000 thinking tokens for cryptographic protocol validation: $0.40000 per formal audit |
| Scenario 4 | Thinking budget caps prevent open-ended reasoning loops while ensuring logical completeness |
| Scenario 5 | Zero hallucination on intricate database schema migrations: saves days of data recovery |
| Scenario 6 | Net engineering defect avoidance yields >20x return relative to thinking token spend |
How fast is Claude Opus 4.7?
How much does Claude Opus 4.7 cost at scale?
| Tokens / month | Est. cost (blended 3:1) |
|---|---|
| 100,000 | $1.00 |
| 1,000,000 | $10.00 |
| 10,000,000 | $100.00 |
| 100,000,000 | $1000.00 |
How does Claude Opus 4.7 compare with other models?
What should you explore next for Claude Opus 4.7?
What are common questions about Claude Opus 4.7?
Is Claude Opus 4.7 cheaper than Claude Opus 4.8?
Claude Opus 4.7 costs $10.00/M blended tokens, Claude Opus 4.8 costs $10.00/M — Claude Opus 4.8 is cheaper.
How much does 1 million tokens cost with Claude Opus 4.7?
At a 3:1 input:output ratio, 1 million blended tokens costs approximately $10.00. Pure input costs $5.00/M; pure output costs $25.00/M.
What does Claude Opus 4.7 cost at high volume?
At 100 million blended tokens a month, Claude Opus 4.7 costs approximately $1000.00. See the cost-at-scale table below for other volumes.