Claude · Flagship · 1M context window

Claude Opus 5 pricing for pdf summarization

$0.1125 per call at 15,000 input / 1,500 output tokens.

Per call

$0.1125

10K calls/mo

$1,125

Cache savings

90% off input

Batch savings

50% off all

Calculate your Claude Opus 5 costs

Adjust token counts, volume, and discount toggles to model your pdf summarization spend. Prices verified daily against provider pricing pages.

Configure your usage

15,000
100100K
1,500
5050K
10,000
1001M

Estimated cost

Monthly cost
$1,125
10,000 calls/month
Cost per call$0.1125
Daily cost$38
Input rate$5.00/MTok
Output rate$25.00/MTok
Analyze your real spend

Quick start

Call Claude Opus 5 with the Anthropic Python SDK:

from anthropic import Anthropic

client = Anthropic()
response = client.messages.create(
    model="claude-opus-5",
    max_tokens=1500,
    messages=[{"role": "user", "content": "Your prompt here"}]
)
# Cost: ~$0.1125 per call at standard rates
# Input:  $5.00/MTok
# Output: $25.00/MTok

What drives pdf summarization cost

PDFs are the worst case for input cost: extracted text carries page furniture, headers, and footnotes that inflate token counts well past what the content warrants. Cleaning the extraction before sending it often cuts more cost than changing models. Long PDFs also routinely cross long-context pricing thresholds, so chunking is both a quality and a cost decision.

For Claude Opus 5 specifically, that means output tokens cost 5.0x more than input, at $25.00 vs $5.00 per MTok. At this use case’s 15,000/1,500 token split, output accounts for 33% of the $0.1125 per-call cost.

Complete Claude Opus 5 pricing breakdown

Standard token rates

Direction$/MTokTokens per call
Input$5.0015,000
Output$25.001,500

Prompt caching: 90% off input tokens

Caching drops input cost from $5.00 to $0.50/MTok. For repeated system prompts, that saves $0.0675 per call.

Batch API: 50% off all tokens

Submit requests asynchronously and receive 50% off all token costs. This works best for offline pipelines where latency requirements are flexible.

Monthly cost projections

Monthly volumeCost per callStandard monthlyCached monthlyYou save with caching
10,000 calls$0.1125$1,125$450$675
50,000 calls$0.1125$5,625$2,250$3,375
100,000 calls$0.1125$11,250$4,500$6,750
500,000 calls$0.1125$56,250$22,500$33,750
1,000,000 calls$0.1125$112,500$45,000$67,500

Claude Opus 5 quality benchmarks for pdf summarization

Consider alternatives for pdf summarization

Scores 65/100 (rank #21 of 88). Better options exist at similar price points for pdf summarization.

Top-ranked: Gemini 3 Flash (83/100) at $0.0120/call

Performance across all task types

Claude Opus 5 scores by task type. PDF Summarization highlighted.

Reasoning91Extraction73Code Generation72Summarization *65Creative Writing61
Task typeConfidence scoreRank out of 88
Reasoning91/100#5
Extraction73/100#15
Code Generation72/100#3
Summarization(current page)65/100#21
Creative Writing61/100#30

Confidence scores are a third-party benchmark snapshot from week 26 of 2026. This snapshot is 17 weeks old, so treat the scores as directional and validate against your own evals.

Alternative models for pdf summarization

10 models score 80+ on pdf summarization benchmarks, sorted by input rate. Cheapest: Gemini 3 Flash (89% less, 83/100 quality).

ModelProviderInput $/MTokOutput $/MTokQualityPer callvs Claude
Gemini 3 FlashGemini$0.50$3.0083/100$0.012089% cheaper
Gemini 3.6 FlashGemini$0.75$3.7575/100$0.016985% cheaper
Gemini 3.7 FlashGemini$0.75$3.7579/100$0.016985% cheaper
Gemini 3.8 FlashGemini$0.75$3.7581/100$0.016985% cheaper
Claude Haiku 4.5Claude$1.00$5.0082/100$0.022580% cheaper
Gemini 3.5 FlashGemini$1.50$9.0076/100$0.036068% cheaper
Gemini 3.1 ProGemini$2.00$12.0080/100$0.048057% cheaper
Grok 4.7Grok$2.00$6.0075/100$0.039065% cheaper
Claude Fable 5Claude$10.00$50.0077/100$0.2250100% more
GPT 6 AstraGPT$10.00$50.0076/100$0.2250100% more

About Claude Opus 5

Provider

Claude

Tier

Flagship

Context

1M tokens

Released

Jul 2026

Other models from Claude

ModelTierInput $/MTokOutput $/MTokContext
Claude Opus 4.8Flagship$5.00$25.001M
Claude Sonnet 4.6Mid-tier$3.00$15.001M
Claude Haiku 4.5Fast / Budget$1.00$5.00200K
Claude Sonnet 5Mid-tier$2.00$10.001M
Claude Fable 5.1Flagship$10.00$50.001M
Claude Fable 5Flagship$10.00$50.001M
Claude Mythos 5.1Flagship$10.00$50.001M
Claude Mythos 5Flagship$10.00$50.001M
Claude Opus 4.7Flagship$5.00$25.001M
Claude Opus 4.6Flagship$5.00$25.001M
Claude Opus 4.5Flagship$5.00$25.00200K
Claude Opus 5.5Flagship$4.00$20.001M
Claude Sonnet 4.5Mid-tier$3.00$15.00200K
Claude Sonnet 5.5Mid-tier$2.00$10.001M
Claude Haiku 5.5Fast / Budget$0.10$0.501M

You can compare Claude Opus 5 head-to-head against any other model on our model comparison pages, or track how pricing has changed over time on the pricing history tracker.

Frequently asked questions

How much does Claude Opus 5 cost for pdf summarization per API call?

A typical pdf summarization call using Claude Opus 5 costs about $0.1125 per call. This estimate uses 15,000 input tokens and 1,500 output tokens at standard rates. Standard rates are $5.00 per million input tokens and $25.00 per million output tokens.

Is Claude Opus 5 the best model for pdf summarization?

Claude Opus 5 scores 65 out of 100 on pdf summarization benchmarks overall. It ranks #21 across all 88 models in our cross-provider registry. The highest-ranked model for this task is Gemini 3 Flash from Gemini. That model scores 83/100 on this task type. Confidence scores are a third-party benchmark snapshot from week 26 of 2026. This snapshot is 17 weeks old, so treat the scores as directional and validate against your own evals.

What is the cheapest model for pdf summarization with good quality?

The most affordable model for pdf summarization above 80/100 quality is Gemini 3 Flash. It comes from Gemini at $0.50 per million input tokens. Output costs $3.00 per million tokens with a quality score of 83/100. Switching from Claude Opus 5 to Gemini 3 Flash saves about 89% per API call.

How can I reduce my Claude Opus 5 costs for pdf summarization?

Three strategies lower Claude Opus 5 costs for this task type effectively. Prompt caching gives a 90% discount on input tokens when reusing system prompts. The batch API gives 50% off all tokens for asynchronous processing workloads. Prompt optimization reduces token counts through more concise instructions and context windows. Combining caching with batching brings your cost from $0.1125 to about $0.005625 per call.

How does Claude Opus 5 pricing compare to other Claude models?

Claude has 15 other models alongside Claude Opus 5 today: Claude Opus 4.8 at $5.00/$25.00 per million tokens (flagship), Claude Sonnet 4.6 at $3.00/$15.00 per million tokens (mid-tier), Claude Haiku 4.5 at $1.00/$5.00 per million tokens (fast / budget), Claude Sonnet 5 at $2.00/$10.00 per million tokens (mid-tier), Claude Fable 5.1 at $10.00/$50.00 per million tokens (flagship), Claude Fable 5 at $10.00/$50.00 per million tokens (flagship), Claude Mythos 5.1 at $10.00/$50.00 per million tokens (flagship), Claude Mythos 5 at $10.00/$50.00 per million tokens (flagship), Claude Opus 4.7 at $5.00/$25.00 per million tokens (flagship), Claude Opus 4.6 at $5.00/$25.00 per million tokens (flagship), Claude Opus 4.5 at $5.00/$25.00 per million tokens (flagship), Claude Opus 5.5 at $4.00/$20.00 per million tokens (flagship), Claude Sonnet 4.5 at $3.00/$15.00 per million tokens (mid-tier), Claude Sonnet 5.5 at $2.00/$10.00 per million tokens (mid-tier), Claude Haiku 5.5 at $0.10/$0.50 per million tokens (fast / budget). The right choice depends on whether your pdf summarization workload prioritizes quality, cost, or speed.

What context window does Claude Opus 5 support?

Claude Opus 5 supports a context window of 1M tokens per API call. This sets the maximum combined length of your input prompt and generated response. For pdf summarization, typical calls use 15,000 input and 1,500 output tokens. That is well within this limit, leaving room for longer prompts or multi-turn conversations.

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This calculator estimates costs based on published rates only. Connect your API usage to see where your money goes and which models drive your spend.