Verified 2026 API Rates • Prompt Caching & Batch ROI

DeepSeek: DeepSeek V3.2 vs Perplexity: Sonar

Compare real-world API costs for DeepSeek: DeepSeek V3.2 ($0.26/$0.38) vs Perplexity: Sonar ($1/$1). Calculate Prompt Caching ROI & Batch API savings.

DeepSeek: DeepSeek V3.2 saves up to 74% on base input tokens

DeepSeek

DeepSeek: DeepSeek V3.2

deepseek-v3.2

Base Input Rate: $0.26 / 1M
Output Rate: $0.38 / 1M
Prompt Cache Read: $0.13 / 1M (-50%)
Cache Write Surcharge: $0.00 (Free write)
Batch API Discount: Not Supported
Context Window: 163.84k tokens
Quality Index (MMLU): 88

Inspect Full Specs →Connect API

Perplexity

Perplexity: Sonar

sonar

Base Input Rate: $1.00 / 1M
Output Rate: $1.00 / 1M
Prompt Cache Read: $1.00 / 1M (-0%)
Cache Write Surcharge: $0.00 (Free write)
Batch API Discount: Not Supported
Context Window: 127.072k tokens
Quality Index (MMLU): 78

Inspect Full Specs →Connect API

Differential Module 1

Prompt Caching ROI & Write Surcharge Break-Even Analysis

Prompt caching drastically reduces input token costs for static prefixes like system prompts, tool schemas, and document chunks. Compare caching mechanisms between DeepSeek: DeepSeek V3.2 and Perplexity: Sonar:

DeepSeek: DeepSeek V3.2 Caching Profile-50% read discount

Cached Read Price: $0.130 per 1M tokens.
Write Surcharge: $0.00 (automatic caching with zero write penalty).
Minimum Cache Prefix: 1,024 tokens.
Amortization Rule: Immediate net savings from first cached read call.

Perplexity: Sonar Caching Profile-0% read discount

Cached Read Price: $1.000 per 1M tokens.
Write Surcharge: $0.00 (automatic caching with zero write penalty).
Minimum Cache Prefix: 1,024 tokens.
Amortization Rule: Immediate net savings from first cached read call.

Differential Module 2

Batch API 50% Discount Offload vs Real-Time SLA

Asynchronous Batch APIs cut total token expenditures in half (50% off input and output) in exchange for non-realtime execution (up to 24-hour turnaround SLA).

Model / Architecture	Standard Input / Output	Batch 50% Off Input / Output	Turnaround SLA	Optimal Use Cases
DeepSeek: DeepSeek V3.2	$0.26 / $0.38	Standard on-demand rate	Instant real-time	Bulk evaluation, dataset labeling, background summarization
Perplexity: Sonar	$1.00 / $1.00	Standard on-demand rate	Instant real-time	Offline document translation, embedding backfills, test suites

Differential Module 3

Context Window Escalation & Tiered Pricing Architecture

Massive context windows allow ingesting entire repositories or books, but pricing models differ drastically between flat-rate vendors and tiered step-up pricing.

DeepSeek: DeepSeek V3.2 Context Capacity

Provides a 163.84k token context window with a maximum output limit of 147.456k tokens.✓ Flat-rate billing across all prompt sizes up to max context ceiling.

Perplexity: Sonar Context Capacity

Provides a 127.072k token context window with a maximum output limit of 114.364k tokens.✓ Flat-rate billing across all prompt sizes up to max context ceiling.

Quill Strategic Content

Real-World Production Scenarios: Monthly Spend Projections

Pre-computed monthly engineering bill projections across 3 representative enterprise application workloads:

Scenario 1

RAG Knowledge Base & Enterprise Search

100,000 queries/month, 3,500 input tokens (system + 5 retrieved chunks), 400 output tokens, 75% prompt cache hit rate.

DeepSeek: DeepSeek V3.2:$72.08/mo

Perplexity: Sonar:$390.00/mo

Delta Savings:-$317.93 (82%)

Architecture Verdict:DeepSeek: DeepSeek V3.2 delivers 82% lower monthly spend ($317.93/mo savings) for this workload profile.

Scenario 2

Multi-Turn Coding Agent & ReAct Loops

25,000 tasks/month, 8,000 input tokens (accumulating conversation context & tool schemas), 1,200 output tokens, 85% cache hit rate.

DeepSeek: DeepSeek V3.2:$41.30/mo

Perplexity: Sonar:$230.00/mo

Delta Savings:-$188.70 (82%)

Architecture Verdict:DeepSeek: DeepSeek V3.2 delivers 82% lower monthly spend ($188.70/mo savings) for this workload profile.

Scenario 3

High-Throughput Offline Data Extraction

500,000 records/month, 1,500 input tokens, 250 output tokens, 100% batch offload (24-hour turnaround SLA).

DeepSeek: DeepSeek V3.2:$223.00/mo

Perplexity: Sonar:$875.00/mo

Delta Savings:-$652.00 (75%)

Architecture Verdict:DeepSeek: DeepSeek V3.2 delivers 75% lower monthly spend ($652.00/mo savings) for this workload profile.

밀리초 단위 실시간 반응형 엔진

DeepSeek: DeepSeek V3.2 vs Perplexity: Sonar

기업의 대표 3대 워크로드(RAG 지식 검색, 코딩 에이전트, 오프라인 배치 추출)에 대한 정밀 청구액 산출:

Live 50ms Engine

월간 요청 건수 (Requests)100,000

요청당 입력 토큰 (Input Tokens)4,000

요청당 출력 토큰 (Output Tokens)1,000

프롬프트 캐시 적중률 (Cache Hit Rate)70%

Batch API 오프로드 비율0%

DeepSeek: DeepSeek V3.2 더 저렴함

월간 예상 절감액

DeepSeek: DeepSeek V3.2$105.60$1.056// 1천 회 요청

Perplexity: Sonar$500.00$5.000// 1천 회 요청

Developer FAQs

Frequently Asked Questions: DeepSeek: DeepSeek V3.2 vs Perplexity: Sonar

Authoritative answers on API rate limits, pricing math, break-even thresholds, and architectural migration.

1Which model is cheaper overall: DeepSeek: DeepSeek V3.2 or Perplexity: Sonar?

At base pricing, DeepSeek: DeepSeek V3.2 costs $0.26/1M input and $0.38/1M output, while Perplexity: Sonar costs $1/1M input and $1/1M output. The cheaper option depends on your input-to-output token ratio and whether prompt caching or batch discounts are utilized.

2How does Prompt Caching impact the cost of DeepSeek: DeepSeek V3.2 vs Perplexity: Sonar?

DeepSeek: DeepSeek V3.2 offers a 50% read discount ($0.13/1M), whereas Perplexity: Sonar provides a 0% read discount ($1/1M). High cache hit ratios (>70%) significantly compress the cost delta in agentic and RAG architectures.

3Can I use Batch API with DeepSeek: DeepSeek V3.2 or Perplexity: Sonar to save 50%?

DeepSeek: DeepSeek V3.2 does not have a native 50% batch endpoint. Perplexity: Sonar uses low base on-demand pricing.

4What are the context window limits and tiered pricing rules for DeepSeek: DeepSeek V3.2 vs Perplexity: Sonar?

DeepSeek: DeepSeek V3.2 features a 163.84k context window with flat per-token pricing. In comparison, Perplexity: Sonar supports 127.072k tokens with flat per-token pricing.