Claude · Mid-tier · 200K context window

Claude Sonnet 4.6 pricing for document summarization

$0.0450 per call at 10,000 input / 1,000 output tokens.

Per call

$0.0450

10K calls/mo

$450

Cache savings

90% off input

Batch savings

50% off all

Calculate your Claude Sonnet 4.6 costs

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

Configure your usage

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

Estimated cost

Monthly cost
$450
10,000 calls/month
Cost per call$0.045
Daily cost$15
Input rate$3.00/MTok
Output rate$15.00/MTok
Analyze your real spend

Quick start

Call Claude Sonnet 4.6 with the Anthropic Python SDK:

from anthropic import Anthropic

client = Anthropic()
response = client.messages.create(
    model="claude-sonnet-4-6",
    max_tokens=1000,
    messages=[{"role": "user", "content": "Your prompt here"}]
)
# Cost: ~$0.0450 per call at standard rates
# Input:  $3.00/MTok
# Output: $15.00/MTok

How Claude Sonnet 4.6 compares on cost

Per-call cost for all models scoring 50+ on document summarization benchmarks. Hover for details.

Cheapest viable option: GPT 5.6 Luna at $0.003200/call (93% less, 84/100 quality).

What drives document summarization cost

The archetypal input-heavy task: the entire source document goes in, a short summary comes back. Cost is almost entirely a function of document length, and the output rate barely registers. Long documents can cross a provider's long-context threshold, where the whole request is re-priced at a multiple. Check the threshold before feeding in a hundred-page PDF as one call.

For Claude Sonnet 4.6 specifically, that means output tokens cost 5.0x more than input, at $15.00 vs $3.00 per MTok. At this use case’s 10,000/1,000 token split, output accounts for 33% of the $0.0450 per-call cost.

Complete Claude Sonnet 4.6 pricing breakdown

Standard token rates

Direction$/MTokTokens per call
Input$3.0010,000
Output$15.001,000

Prompt caching: 90% off input tokens

Caching drops input cost from $3.00 to $0.30/MTok. For repeated system prompts, that saves $0.0270 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$0.0450$450$180$270
50,000 calls$0.0450$2,250$900$1,350
100,000 calls$0.0450$4,500$1,800$2,700
500,000 calls$0.0450$22,500$9,000$13,500
1,000,000 calls$0.0450$45,000$18,000$27,000

Claude Sonnet 4.6 quality benchmarks for document summarization

Use Claude Sonnet 4.6 for document summarization

Scores 90/100 (rank #2 of 20). Strong pick for production document summarization workloads.

Top-ranked: GPT 5.6 Terra (92/100) at $0.0320/call

Performance across all task types

Claude Sonnet 4.6 scores by task type. Document Summarization highlighted.

Code Review95Code Generation92Summarization *90Reasoning88Q&A88Extraction86Creative Writing85Classification84
Task typeConfidence scoreRank out of 20
Code Review95/100#1
Code Generation92/100#2
Summarization(current page)90/100#2
Reasoning88/100#3
Q&A88/100#3
Extraction86/100#3
Creative Writing85/100#3
Classification84/100#4

Confidence scores are a third-party benchmark snapshot from week 29 of 2026. This snapshot is 8 weeks old, so treat the scores as directional and validate against your own evals.

Alternative models for document summarization

12 models score 80+ on document summarization benchmarks, sorted by input rate. Cheapest: GPT 5.6 Luna (93% less, 84/100 quality).

ModelProviderInput $/MTokOutput $/MTokQualityPer callvs Claude
GPT 5.6 LunaGPT$0.20$1.2084/100$0.00320093% cheaper
Gemini 3 FlashGemini$0.50$3.0083/100$0.00800082% cheaper
Claude Haiku 4.5Claude$1.00$5.0082/100$0.015067% cheaper
Gemini 3.5 FlashGemini$1.50$9.0085/100$0.024047% cheaper
Claude Sonnet 5Claude$2.00$10.0091/100$0.030033% cheaper
GPT 5.6 TerraGPT$2.00$12.0092/100$0.032029% cheaper
Gemini 3.1 ProGemini$2.00$12.0087/100$0.032029% cheaper
GPT 5.4GPT$2.50$15.0091/100$0.040011% cheaper
GPT 5.6 SolGPT$4.00$20.0090/100$0.060033% more
Claude Opus 4.8Claude$5.00$25.0088/100$0.075067% more
GPT 5.5GPT$5.00$30.0089/100$0.080078% more
Claude Fable 5Claude$10.00$50.0090/100$0.1500233% more

About Claude Sonnet 4.6

Provider

Claude

Tier

Mid-tier

Context

200K tokens

Released

May 2026

Other models from Claude

ModelTierInput $/MTokOutput $/MTokContext
Claude Opus 4.8Flagship$5.00$25.00200K
Claude Haiku 4.5Fast / Budget$1.00$5.00200K
Claude Sonnet 5Mid-tier$2.00$10.00200K
Claude Opus 5Flagship$5.00$25.001,000K
Claude Fable 5.1Flagship$10.00$50.001,000K
Claude Fable 5Flagship$10.00$50.001,000K

You can compare Claude Sonnet 4.6 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 Sonnet 4.6 cost for document summarization per API call?

A typical document summarization call using Claude Sonnet 4.6 costs about $0.0450 per call. This estimate uses 10,000 input tokens and 1,000 output tokens at standard rates. Standard rates are $3.00 per million input tokens and $15.00 per million output tokens.

Is Claude Sonnet 4.6 the best model for document summarization?

Claude Sonnet 4.6 scores 90 out of 100 on document summarization benchmarks overall. It ranks #2 across all 20 models in our cross-provider registry. The highest-ranked model for this task is GPT 5.6 Terra from GPT. That model scores 92/100 on this task type. Confidence scores are a third-party benchmark snapshot from week 29 of 2026. This snapshot is 8 weeks old, so treat the scores as directional and validate against your own evals.

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

The most affordable model for document summarization above 80/100 quality is GPT 5.6 Luna. It comes from GPT at $0.20 per million input tokens. Output costs $1.20 per million tokens with a quality score of 84/100. Switching from Claude Sonnet 4.6 to GPT 5.6 Luna saves about 93% per API call.

How can I reduce my Claude Sonnet 4.6 costs for document summarization?

Three strategies lower Claude Sonnet 4.6 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 $0.0450 to about $0.002250 per call.

How does Claude Sonnet 4.6 pricing compare to other Claude models?

Claude has 6 other models alongside Claude Sonnet 4.6 today: Claude Opus 4.8 at $5.00/$25.00 per million tokens (flagship), 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 Opus 5 at $5.00/$25.00 per million tokens (flagship), 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). The right choice depends on whether your document summarization workload prioritizes quality, cost, or speed.

What context window does Claude Sonnet 4.6 support?

Claude Sonnet 4.6 supports a context window of 200K tokens per API call. This sets the maximum combined length of your input prompt and generated response. For document summarization, typical calls use 10,000 input and 1,000 output tokens. That is well within this limit, leaving room for longer prompts or multi-turn conversations.

Track what you spend on AI

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.