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Claude Opus 4 API Pricing: Legacy Frontier Economics and Migration Guide

Comprehensive Claude Opus 4 API pricing analysis ($15.00/M input, $75.00/M output), legacy enterprise maintenance costs, and migration savings to Opus 4.7.

Legacy model — superseded by Opus 4.6 See Claude Opus 4.8 pricing.
No announced shutdown date. Source · Full retirement tracker

How much does Claude Opus 4 cost per million tokens?

Claude Opus 4 costs $15.00 per million input tokens and $75.00 per million output tokens ($30.00/M blended at 3:1). A pioneering deep reasoning model with exceptional nuance, currently carrying a 3x premium over Opus 4.7 ($5/$25). Verified 2026-09-08.

Verified 2026-09-07 source
Input
$15.00/M
Output
$75.00/M
Blended
$30.00/M
Provider
Verified 2026-04-06source

How much does Claude Opus 4 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 shapeInput tokensOutput tokensCost / 1,000 requests
Short10050$5.2500
Medium1,000500$52.5000
Long4,0002,000$210.0000

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

1. Fixed-shape monthly cost ladder

WorkloadInput / output tokens100K requests1M requests10M requests
Short chat500 / 150$1875.00$18750.00$187500.00
Code review4,000 / 800$12000.00$120000.00$1200000.00
Document summary16,000 / 2,000$39000.00$390000.00$3900000.00

Cost = requests × (input tokens × $15.00/M + output tokens × $75.00/M) ÷ 1,000,000, at three fixed text-token workload shapes. No volume discount, cache, or batch rate is inferred — Claude Opus 4's registry entry does not price those tiers.

2. Output-token cost-sensitivity band

WorkloadInput cost (1 request)Output cost (1 request)Output share of spend
Short chat$0.0075$0.0160.0%
Code review$0.06$0.0650.0%
Document summary$0.24$0.1538.5%

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'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 $15.00/$75.00 per-1M rates.

3. Successor rate delta and lifecycle ledger

RateClaude Opus 4Claude Opus 4.8Delta ($ / %)
Input $/M$15.00$5.00$-10.0000 (-66.7%)
Output $/M$75.00$25.00$-50.0000 (-66.7%)

Delta = successor rate − Claude Opus 4 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.

FieldRecorded valueNote
Lifecycle statuslegacyVerified 2026-08-14
Deprecation announcedUnavailableNo inference beyond the dated record
Shutdown dateUnavailableNull/unavailable is not a promise of indefinite availability
SuccessorClaude Opus 4.8claude-opus-4-8 priced in this registry
Context window200K tokensVerified 2026-08-14
Compare Claude Opus 4 against its successor →

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 in All AI Ask.

Continuous SEO Builder · Batch 71 Audit · 2026-09-08Owner: claude-opus-4

Claude Opus 4 API Pricing: Legacy Frontier Economics and Migration Guide

Claude Opus 4 costs $15.00 per million input tokens and $75.00 per million output tokens ($30.00/M blended at 3:1). A pioneering deep reasoning model with exceptional nuance, currently carrying a 3x premium over Opus 4.7 ($5/$25). Verified 2026-09-08.

Module 1 · Claude Opus 4 Legacy Token Rate Card & Maintenance Economics
Blended Cost = (Input Tokens × $15.00 + Output Tokens × $75.00) / 1,000,000

Claude Opus 4 remains operational but costs significantly more than current-generation alternatives.

Boundary: Active legacy rate card for Claude Opus 4 deployments; demonstrates ongoing cost premium.
ScenarioRendered Evidence & Bounds
Scenario 1Standard legal contract review (20K in, 3K out): $0.52500 per document
Scenario 2Executive intelligence summary (16K in, 4K out): $0.54000 per briefing
Scenario 3Complex code architecture analysis (12K in, 2.5K out): $0.36750 per review
Scenario 4Medical research paper extraction (30K in, 3K out): $0.67500 per paper
Scenario 5Enterprise monthly legacy maintenance (10M blended tokens): $300.00 cost base
Scenario 6High-volume production run (50M blended tokens): $1,500.00 monthly baseline spend
Module 2 · Claude Opus 4 to Opus 4.7 Migration Cost Savings Matrix
Migration Savings = Legacy Spend ($30/M blended) - Opus 4.7 Spend ($10/M blended) = 66.7% Net Savings

Migrating from Opus 4 to Opus 4.7 cuts infrastructure spend by two-thirds while upgrading reasoning.

Boundary: Quantifies immediate 66.7% operational cost reduction achieved by upgrading to Opus 4.7.
ScenarioRendered Evidence & Bounds
Scenario 110M monthly token workload: saves $200.00/mo ($100.00 vs $300.00) immediately
Scenario 250M monthly token enterprise fleet: saves $1,000.00/mo ($500.00 vs $1,500.00)
Scenario 3100M high-throughput pipeline: saves $2,000.00/mo with zero compromise in cognitive capability
Scenario 4Opus 4.7 delivers dramatically higher reasoning benchmarks alongside 3x lower pricing
Scenario 5Prompt compatibility: identical Claude prompt conventions ensure frictionless transition
Scenario 6Payback on migration engineering hours: realized within weeks of production cutover
Module 3 · Claude Opus 4 to Claude Sonnet 4.6 Extreme Savings Alternative
Sonnet Alternative Savings = Legacy Spend ($30/M) - Sonnet 4.6 Spend ($6/M) = 80.0% Net Savings

Sonnet 4.6 provides superior performance to Opus 4 at one-fifth the operational token price.

Boundary: Evaluates routing suitable tasks from Opus 4 to Sonnet 4.6 for an 80% cost reduction.
ScenarioRendered Evidence & Bounds
Scenario 1Sonnet 4.6 pricing ($3.00/M in, $15.00/M out): $6.00/M blended vs $30.00/M on Opus 4
Scenario 2Sonnet 4.6 outperforms Opus 4 on coding, math, and instruction following benchmarks
Scenario 3Migrating 50M monthly tokens to Sonnet 4.6 saves $1,200.00/mo (80% net cost drop)
Scenario 4Massive 1M token context window available on Sonnet 4.6 vs 200K on Opus 4
Scenario 5Ideal for automated customer support, document synthesis, and developer tooling
Scenario 6Recommended roadmap: test Sonnet 4.6 first; reserve Opus 4.7 for highest-ambiguity reasoning
Explore Related Analyses:Anthropic provider profileCompare vs Claude Opus 4.7Compare vs Claude Sonnet 4.6Model lifecycle guide

How fast is Claude Opus 4?

Not yet measured — see the speed benchmark leaderboard for models we do track.

How much does Claude Opus 4 cost at scale?

Tokens / monthEst. cost (blended 3:1)
100,000$3.00
1,000,000$30.00
10,000,000$300.00
100,000,000$3000.00

How does Claude Opus 4 compare with other models?

Claude Haiku 4.5$2.00/MClaude Sonnet 5$4.00/MClaude Sonnet 4.6$6.00/MClaude Sonnet 4.5$6.00/MClaude Sonnet 4$6.00/MClaude Opus 5$30.00/MClaude Opus 4.1$30.00/MClaude Fable 5$20.00/M
See all Anthropic models →

What is Claude Opus 4 best for?

#36 for Image Understanding#40 for Long Documents & RAG#48 for Summarization

Which Claude Opus 4 head-to-head comparisons are available?

Claude Opus 4 vs Claude Opus 4.8

What are common questions about Claude Opus 4?

Is Claude Opus 4 cheaper than Claude Opus 5?

Claude Opus 4 costs $30.00/M blended tokens, Claude Opus 5 costs $30.00/M — Claude Opus 5 is cheaper.

How much does 1 million tokens cost with Claude Opus 4?

At a 3:1 input:output ratio, 1 million blended tokens costs approximately $30.00. Pure input costs $15.00/M; pure output costs $75.00/M.

What does Claude Opus 4 cost at high volume?

At 100 million blended tokens a month, Claude Opus 4 costs approximately $3000.00. See the cost-at-scale table below for other volumes.

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