Claude · Mid-tier · 1,000K context window

Claude Sonnet 5.5 pricing for legal analysis

$0.0600 per call at 10,000 input / 4,000 output tokens.

Per call

$0.0600

10K calls/mo

$600

Cache savings

90% off input

Batch savings

50% off all

Calculate your Claude Sonnet 5.5 costs

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

Configure your usage

10,000
100100K
4,000
5050K
10,000
1001M

Estimated cost

Monthly cost
$600
10,000 calls/month
Cost per call$0.06
Daily cost$20
Input rate$2.00/MTok
Output rate$10.00/MTok
Analyze your real spend

Quick start

Call Claude Sonnet 5.5 with the Anthropic Python SDK:

from anthropic import Anthropic

client = Anthropic()
response = client.messages.create(
    model="claude-sonnet-5-5",
    max_tokens=4000,
    messages=[{"role": "user", "content": "Your prompt here"}]
)
# Cost: ~$0.0600 per call at standard rates
# Input:  $2.00/MTok
# Output: $10.00/MTok

What drives legal analysis cost

Legal work is heavy on both sides: long source documents in, detailed analysis out. It is also the case where accuracy is worth the most, so the cheapest-viable-model logic that works for classification does not apply. Long contracts frequently cross long-context pricing thresholds, which can re-rate the entire request rather than just the excess.

For Claude Sonnet 5.5 specifically, that means output tokens cost 5.0x more than input, at $10.00 vs $2.00 per MTok. At this use case’s 10,000/4,000 token split, output accounts for 67% of the $0.0600 per-call cost.

Complete Claude Sonnet 5.5 pricing breakdown

Standard token rates

Direction$/MTokTokens per call
Input$2.0010,000
Output$10.004,000

Prompt caching: 90% off input tokens

Caching drops input cost from $2.00 to $0.20/MTok. For repeated system prompts, that saves $0.0180 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$0.0600$600$420$180
50,000 calls$0.0600$3,000$2,100$900
100,000 calls$0.0600$6,000$4,200$1,800
500,000 calls$0.0600$30,000$21,000$9,000
1,000,000 calls$0.0600$60,000$42,000$18,000

Claude Sonnet 5.5 quality benchmarks for legal analysis

Benchmark data for legal analysis is pending for Claude Sonnet 5.5. Test against your own evaluation suite before moving to production.

Performance across all task types

Claude Sonnet 5.5 scores by task type. Legal Analysis highlighted.

Task typeConfidence scoreRank out of 74

Confidence scores are a third-party benchmark snapshot from week 26 of 2026. This snapshot is 14 weeks old, so treat the scores as directional and validate against your own evals.

Alternative models for legal analysis

22 models score 80+ on legal analysis benchmarks, sorted by input rate. Cheapest: GPT 5.6 Luna (89% less, 86/100 quality).

ModelProviderInput $/MTokOutput $/MTokQualityPer callvs Claude
GPT 5.6 LunaGPT$0.20$1.2086/100$0.00680089% cheaper
Gemini 3.6 FlashGemini$0.75$3.7585/100$0.022563% cheaper
Gemini 3.7 FlashGemini$0.75$3.7588/100$0.022563% cheaper
Gemini 3.8 FlashGemini$0.75$3.7589/100$0.022563% cheaper
Claude Sonnet 5Claude$2.00$10.0089/100$0.0600same cost
GPT 5.6 TerraGPT$2.00$12.0091/100$0.068013% more
GPT 6 SolGPT$2.00$10.0089/100$0.0600same cost
Gemini 3.1 ProGemini$2.00$12.0084/100$0.068013% more
Grok 4.6Grok$2.00$6.0091/100$0.044027% cheaper
Grok 4.5Grok$2.00$6.0087/100$0.044027% cheaper
GPT 5.4GPT$2.50$15.0088/100$0.085042% more
Claude Sonnet 4.6Claude$3.00$15.0085/100$0.090050% more
Claude Opus 5.5Claude$4.00$20.0092/100$0.1200100% more
GPT 5.6 SolGPT$4.00$20.0092/100$0.1200100% more
Claude Opus 4.8Claude$5.00$25.0089/100$0.1500150% more
Claude Opus 5Claude$5.00$25.0091/100$0.1500150% more
Claude Opus 4.7Claude$5.00$25.0087/100$0.1500150% more
Claude Opus 4.6Claude$5.00$25.0089/100$0.1500150% more
GPT 5.5GPT$5.00$30.0090/100$0.1700183% more
Claude Fable 5.1Claude$10.00$50.0092/100$0.3000400% more
Claude Fable 5Claude$10.00$50.0090/100$0.3000400% more
GPT 6 AstraGPT$10.00$50.0093/100$0.3000400% more

About Claude Sonnet 5.5

Provider

Claude

Tier

Mid-tier

Context

1,000K tokens

Released

Sep 2026

Added by the model-onboarding job on 2026-09-29. Prices confirmed by the provider pricing page and the LiteLLM cross-check. Release date from the provider model list. Not yet benchmarked, so never recommended.

Other models from Claude

ModelTierInput $/MTokOutput $/MTokContext
Claude Opus 4.8Flagship$5.00$25.001,000K
Claude Sonnet 4.6Mid-tier$3.00$15.001,000K
Claude Haiku 4.5Fast / Budget$1.00$5.00200K
Claude Sonnet 5Mid-tier$2.00$10.001,000K
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
Claude Mythos 5.1Flagship$10.00$50.001,000K
Claude Mythos 5Flagship$10.00$50.001,000K
Claude Opus 4.7Flagship$5.00$25.001,000K
Claude Opus 4.6Flagship$5.00$25.001,000K
Claude Opus 4.5Flagship$5.00$25.00200K
Claude Opus 5.5Flagship$4.00$20.001,000K
Claude Sonnet 4.5Mid-tier$3.00$15.00200K

You can compare Claude Sonnet 5.5 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 5.5 cost for legal analysis per API call?

A typical legal analysis call using Claude Sonnet 5.5 costs about $0.0600 per call. This estimate uses 10,000 input tokens and 4,000 output tokens at standard rates. Standard rates are $2.00 per million input tokens and $10.00 per million output tokens.

Is Claude Sonnet 5.5 the best model for legal analysis?

Our benchmark data does not yet include a legal analysis ranking for Claude Sonnet 5.5. We recommend testing it against your own evaluation criteria before production usage.

What is the cheapest model for legal analysis with good quality?

The most affordable model for legal analysis 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 86/100. Switching from Claude Sonnet 5.5 to GPT 5.6 Luna saves about 89% per API call.

How can I reduce my Claude Sonnet 5.5 costs for legal analysis?

Three strategies lower Claude Sonnet 5.5 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 $0.0600 to about $0.003000 per call.

How does Claude Sonnet 5.5 pricing compare to other Claude models?

Claude has 14 other models alongside Claude Sonnet 5.5 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 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), 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). The right choice depends on whether your legal analysis workload prioritizes quality, cost, or speed.

What context window does Claude Sonnet 5.5 support?

Claude Sonnet 5.5 supports a context window of 1,000K tokens per API call. This sets the maximum combined length of your input prompt and generated response. For legal analysis, typical calls use 10,000 input and 4,000 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.