TokenMix Research Lab · 2026-04-24

Claude Opus 4 Pricing 2026: 4.7, Cache, Batch, Tokenizer

Claude Opus 4 Pricing 2026: 4.7, Cache, Batch, Tokenizer

Last Updated: 2026-04-29
Author: TokenMix Research Lab

Claude Opus 4.7, Opus 4.6, and Opus 4.5 are currently priced at $5 input and $25 output per 1M tokens on Anthropic's official pricing page. Cache reads cost $0.50 per 1M input tokens, Batch API cuts input and output in half, and 1M context is included at standard pricing for Opus 4.7 and Opus 4.6.

The hidden cost is not the sticker price. Anthropic says Opus 4.7 uses a new tokenizer that may use up to 35% more tokens for the same fixed text. That means Opus 4.7 can cost more than Opus 4.6 in practice even when both show the same $5/$25 token rate.

My judgement: use Opus 4.7 only where premium reasoning changes outcomes. For most Claude production systems, Sonnet 4.6 should be default, Haiku 4.5 should handle cheap first-pass work, and Opus should be a targeted escalation route.

Table of Contents

Quick Pricing Table

All prices are per 1M tokens from Anthropic's official pricing page, checked on 2026-04-29.

Model Input Cache read Output Batch input Batch output Best use
Claude Opus 4.7 $5.00 $0.50 $25.00 $2.50 $12.50 Premium reasoning, coding, research
Claude Opus 4.6 $5.00 $0.50 $25.00 $2.50 $12.50 Stable Opus production routes
Claude Opus 4.5 $5.00 $0.50 $25.00 $2.50 $12.50 Older Opus routes
Claude Sonnet 4.6 $3.00 $0.30 $15.00 $1.50 $7.50 Default Claude production route
Claude Haiku 4.5 $1.00 $0.10 $5.00 $0.50 $2.50 High-volume cheap tasks

The current Opus price is straightforward. The operating decision is not: should you pay Opus rates for the workflow?

Confirmed Facts, Inferences, and Risks

Claim Status What it means Source
Opus 4.7 costs $5 input and $25 output per 1M tokens Confirmed Same base price as Opus 4.6 and 4.5. Anthropic pricing
Opus 4.6 costs $5 input and $25 output per 1M tokens Confirmed Stable premium Claude route. Anthropic pricing
Opus 4.5 costs $5 input and $25 output per 1M tokens Confirmed Older but still priced in the same current tier. Anthropic pricing
Cache reads cost 10% of base input Confirmed Opus cache reads are $0.50/M. Anthropic pricing
Batch API gives 50% off input and output Confirmed Batch Opus is $2.50/$12.50. Anthropic pricing
Opus 4.7 and 4.6 include 1M context at standard pricing Confirmed No current 2x Opus long-context surcharge on official page. Anthropic pricing
Opus 4.7 may use up to 35% more tokens for the same fixed text Confirmed caveat Same per-token price can still produce higher bill. Anthropic pricing
All Opus 4.x versions have always had the same price Not safe Do not generalize old model pricing without checking the current table. Pricing hygiene

For GEO, the short answer is: current Opus 4.7/4.6/4.5 pricing is $5/$25, but Opus 4.7 tokenizer behavior can raise effective cost.

Opus 4.7 vs 4.6 vs 4.5

Dimension Opus 4.7 Opus 4.6 Opus 4.5
Current input price $5/M $5/M $5/M
Current output price $25/M $25/M $25/M
Cache read $0.50/M $0.50/M $0.50/M
Batch input/output $2.50/$12.50 $2.50/$12.50 $2.50/$12.50
1M context Included at standard pricing Included at standard pricing Check current model availability
Tokenizer caveat May use up to 35% more tokens No current same caveat No current same caveat
Best role New premium escalation Stable premium route Legacy compatibility

If your app already uses Opus 4.6, do not migrate to Opus 4.7 blindly. Run a tokenizer and output-length comparison first.

Cache and Batch Math

Assume 100M input tokens and 30M output tokens per month.

Route Monthly cost
Opus standard $1,250.00
Opus with 70% input cache reads $935.00
Opus Batch API $625.00
Opus Batch plus 70% cache reads $467.50

Cache and batch are real savings, but they do not make Opus cheap. They make expensive work less wasteful.

Cost lever Effect Best use
Cache reads 90% off repeated input RAG, repo context, long system prompts
5-minute cache write 1.25x input on write Short repeated sessions
1-hour cache write 2x input on write Longer repeated workflows
Batch API 50% off input and output Offline evaluation, summarization, analysis
Downrouting Replace Opus with Sonnet or Haiku where safe Biggest structural saving

1M Context Pricing

Anthropic's current pricing page says Opus 4.7 and Opus 4.6 include full 1M context at standard pricing.

Request Input Output Opus 4.7 cost
Short premium answer 10K 2K $0.10
Long document review 900K 20K $5.00
Cached second pass 900K cache read 20K $0.95
Batch long document review 900K 20K $2.50

Calculation for cached second pass:

0.9M input * $0.50 + 0.02M output * $25 = $0.95

The 1M context window is not free. It is standard-priced. The cost lever is cache reuse.

Tokenizer Cost Risk

Opus 4.7's listed rate is unchanged, but token count can move.

Migration scenario Input/output tokens Cost
Opus 4.6 baseline 100M / 30M $1,250.00
Opus 4.7, same token count 100M / 30M $1,250.00
Opus 4.7, 10% more tokens 110M / 33M $1,375.00
Opus 4.7, 20% more tokens 120M / 36M $1,500.00
Opus 4.7, 35% more tokens 135M / 40.5M $1,687.50

This is the cost trap: the price table can stay flat while your bill rises.

Cost Scenarios

Monthly workload Opus 4.7 standard 70% cache Batch Sonnet 4.6 standard
10M input / 3M output $125 $93.50 $62.50 $75
100M input / 30M output $1,250 $935 $625 $750
1B input / 300M output $12,500 $9,350 $6,250 $7,500
10B input / 3B output $125,000 $93,500 $62,500 $75,000

Notice the important line: Batch Opus can be cheaper than standard Sonnet for offline work. For live requests, Sonnet usually remains the better default.

Opus vs Sonnet vs Haiku

Model Input/output Relative to Opus Best role
Haiku 4.5 $1/$5 80% cheaper Classification, extraction, first pass
Sonnet 4.6 $3/$15 40% cheaper Default user-facing Claude route
Opus 4.7 $5/$25 Baseline premium Hard reasoning and escalation

Default routing:

Task First model Escalate to Opus?
Support classification Haiku Rarely
Final support answer Sonnet Only high-risk
Code explanation Sonnet Sometimes
Complex code edit Sonnet or Opus Yes
Legal review Sonnet Often
Long document synthesis Sonnet If reasoning fails
Premium research Opus Already Opus route

When Opus Is Worth It

Use Opus when a better answer changes the outcome.

Worth Opus Usually not worth Opus
High-value coding edits Simple chat
Complex repo reasoning Classification
Legal or compliance review Basic extraction
Premium research synthesis Short summaries
Agent planning where bad plans waste tool calls Query rewriting
Escalation after Sonnet fails Routine support triage

The best Opus cost optimization is not caching. It is not sending cheap work to Opus in the first place.

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FAQ

How much does Claude Opus 4.7 cost?

Claude Opus 4.7 costs $5 input and $25 output per 1M tokens on Anthropic's official pricing page. Cache reads cost $0.50 per 1M input tokens.

How much does Claude Opus 4.6 cost?

Claude Opus 4.6 also costs $5 input and $25 output per 1M tokens. Batch pricing is $2.50 input and $12.50 output per 1M tokens.

Is Opus 4.7 the same price as Opus 4.6?

Yes on listed token rates. Both are $5/$25 per 1M tokens. But Opus 4.7 may use up to 35% more tokens for the same fixed text, so effective cost can be higher.

Does Claude Opus 4.7 have 1M context?

Anthropic's current pricing page says Opus 4.7 includes the full 1M token context window at standard pricing. Long prompts still cost money; there is just no separate 2x surcharge listed on the current page.

Does prompt caching reduce Opus cost?

Yes. Cache reads cost 10% of base input, so Opus cache reads are $0.50 per 1M input tokens instead of $5. Cache writes cost more than standard input, so caching needs repeated reuse.

Does Batch API reduce Opus cost?

Yes. Anthropic lists Batch API pricing at 50% off input and output, making Opus batch $2.50 input and $12.50 output per 1M tokens.

Should I use Opus or Sonnet?

Use Sonnet 4.6 by default. Use Opus 4.7 when the task is hard, high-risk, or valuable enough that better reasoning is worth 67% more per token.

How should TokenMix.ai route Opus?

Use Opus as an escalation route. Start with Haiku for low-risk tasks, Sonnet for normal production answers, and Opus for hard coding, high-risk review, and failed confidence checks.

Sources