Claude · Mid-tier · 200K context window

Claude Sonnet 5 pricing for rag pipeline

$0.0270 per call at 6,000 input / 1,500 output tokens.

Per call

$0.0270

10K calls/mo

$270

Cache savings

90% off input

Batch savings

50% off all

Calculate your Claude Sonnet 5 costs

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

Configure your usage

6,000
100100K
1,500
5050K
10,000
1001M

Estimated cost

Monthly cost
$270
10,000 calls/month
Cost per call$0.027
Daily cost$9
Input rate$2.00/MTok
Output rate$10.00/MTok
Analyze your real spend

Quick start

Call Claude Sonnet 5 with the Anthropic Python SDK:

from anthropic import Anthropic

client = Anthropic()
response = client.messages.create(
    model="claude-sonnet-5",
    max_tokens=1500,
    messages=[{"role": "user", "content": "Your prompt here"}]
)
# Cost: ~$0.0270 per call at standard rates
# Input:  $2.00/MTok
# Output: $10.00/MTok

How Claude Sonnet 5 compares on cost

Per-call cost for all models scoring 50+ on rag pipeline benchmarks. Hover for details.

Cheapest viable option: GPT 5.6 Luna at $0.003000/call (89% less, 85/100 quality).

What drives rag pipeline cost

Retrieval-augmented calls are dominated by the retrieved passages, not the question. Retrieving eight chunks instead of three roughly triples input cost for an answer that is often no better, so retrieval tuning is cost tuning. The system prompt and instructions are identical on every call, which makes cache reads the first thing to enable.

For Claude Sonnet 5 specifically, that means output tokens cost 5.0x more than input, at $10.00 vs $2.00 per MTok. At this use case’s 6,000/1,500 token split, output accounts for 56% of the $0.0270 per-call cost.

Complete Claude Sonnet 5 pricing breakdown

Standard token rates

Direction$/MTokTokens per call
Input$2.006,000
Output$10.001,500

Prompt caching: 90% off input tokens

Caching drops input cost from $2.00 to $0.20/MTok. For repeated system prompts, that saves $0.0108 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$0.0270$270$162$108
50,000 calls$0.0270$1,350$810$540
100,000 calls$0.0270$2,700$1,620$1,080
500,000 calls$0.0270$13,500$8,100$5,400
1,000,000 calls$0.0270$27,000$16,200$10,800

Claude Sonnet 5 quality benchmarks for rag pipeline

Claude Sonnet 5 is a solid pick for rag pipeline

Scores 89/100 (rank #2 of 20). Good balance of quality and cost for rag pipeline.

Top-ranked: GPT 5.6 Terra (92/100) at $0.0300/call

Performance across all task types

Claude Sonnet 5 scores by task type. RAG Pipeline highlighted.

Code Review96Code Generation93Summarization91Reasoning90Q&A *89Extraction88Creative Writing87Classification86
Task typeConfidence scoreRank out of 20
Code Review96/100#1
Code Generation93/100#2
Summarization91/100#1
Reasoning90/100#2
Q&A(current page)89/100#2
Extraction88/100#2
Creative Writing87/100#3
Classification86/100#3

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 rag pipeline

12 models score 80+ on rag pipeline benchmarks, sorted by input rate. Cheapest: GPT 5.6 Luna (89% less, 85/100 quality).

ModelProviderInput $/MTokOutput $/MTokQualityPer callvs Claude
GPT 5.6 LunaGPT$0.20$1.2085/100$0.00300089% cheaper
Gemini 3 FlashGemini$0.50$3.0082/100$0.00750072% cheaper
Claude Haiku 4.5Claude$1.00$5.0086/100$0.013550% cheaper
Gemini 3.5 FlashGemini$1.50$9.0084/100$0.022517% cheaper
GPT 5.6 TerraGPT$2.00$12.0092/100$0.030011% more
Gemini 3.1 ProGemini$2.00$12.0087/100$0.030011% more
GPT 5.4GPT$2.50$15.0091/100$0.037539% more
Claude Sonnet 4.6Claude$3.00$15.0088/100$0.040550% more
GPT 5.6 SolGPT$4.00$20.0091/100$0.0540100% more
Claude Opus 4.8Claude$5.00$25.0085/100$0.0675150% more
GPT 5.5GPT$5.00$30.0090/100$0.0750178% more
Claude Fable 5Claude$10.00$50.0088/100$0.1350400% more

About Claude Sonnet 5

Provider

Claude

Tier

Mid-tier

Context

200K tokens

Released

Jun 2026

Launched at $2/$10 as introductory pricing through Aug 31, 2026. Anthropic cancelled the scheduled increase to $3/$15, so this is now the standard price.

Other models from Claude

ModelTierInput $/MTokOutput $/MTokContext
Claude Opus 4.8Flagship$5.00$25.00200K
Claude Sonnet 4.6Mid-tier$3.00$15.00200K
Claude Haiku 4.5Fast / Budget$1.00$5.00200K
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 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 Sonnet 5 cost for rag pipeline per API call?

A typical rag pipeline call using Claude Sonnet 5 costs about $0.0270 per call. This estimate uses 6,000 input tokens and 1,500 output tokens at standard rates. Standard rates are $2.00 per million input tokens and $10.00 per million output tokens.

Is Claude Sonnet 5 the best model for rag pipeline?

Claude Sonnet 5 scores 89 out of 100 on rag pipeline 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 rag pipeline with good quality?

The most affordable model for rag pipeline 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 85/100. Switching from Claude Sonnet 5 to GPT 5.6 Luna saves about 89% per API call.

How can I reduce my Claude Sonnet 5 costs for rag pipeline?

Three strategies lower Claude Sonnet 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 $0.0270 to about $0.001350 per call.

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

Claude has 6 other models alongside Claude Sonnet 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 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 rag pipeline workload prioritizes quality, cost, or speed.

What context window does Claude Sonnet 5 support?

Claude Sonnet 5 supports a context window of 200K tokens per API call. This sets the maximum combined length of your input prompt and generated response. For rag pipeline, typical calls use 6,000 input and 1,500 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.