DeepSeek: DeepSeek V3.2 vs Amazon: Nova Pro 1.0
Compare real-world API costs for DeepSeek: DeepSeek V3.2 ($0.26/$0.38) vs Amazon: Nova Pro 1.0 ($0.8/$3.2). Calculate Prompt Caching ROI & Batch API savings.
DeepSeek: 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
Amazon: Nova Pro 1.0
- Base Input Rate
- $0.80 / 1M
- Output Rate
- $3.20 / 1M
- Prompt Cache Read
- $0.40 / 1M (-50%)
- Cache Write Surcharge
- $0.00 (Free write)
- Batch API Discount
- -50% Off
- Context Window
- 300k tokens
- Quality Index (MMLU)
- 78
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 Amazon: Nova Pro 1.0:
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.
Amazon: Nova Pro 1.0 Caching Profile-50% read discount
- Cached Read Price: $0.400 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.
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 |
| Amazon: Nova Pro 1.0 | $0.80 / $3.20 | $0.40 / $1.60 (-50%) | 24 Hours max (typically 30m - 2h) | Offline document translation, embedding backfills, test suites |
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.
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.
Provides a 300k token context window with a maximum output limit of 5.12k tokens.✓ Flat-rate billing across all prompt sizes up to max context ceiling.
Real-World Production Scenarios: Monthly Spend Projections
Pre-computed monthly engineering bill projections across 3 representative enterprise application workloads:
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.
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.
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 vs Amazon: Nova Pro 1.0
エンタープライズの代表的な3大ユースケース（RAG検索、コーディングAgent、バッチ抽出）で精密試算：
月間推定削減額
Frequently Asked Questions: DeepSeek: DeepSeek V3.2 vs Amazon: Nova Pro 1.0
Authoritative answers on API rate limits, pricing math, break-even thresholds, and architectural migration.
1Which model is cheaper overall: DeepSeek: DeepSeek V3.2 or Amazon: Nova Pro 1.0?
At base pricing, DeepSeek: DeepSeek V3.2 costs $0.26/1M input and $0.38/1M output, while Amazon: Nova Pro 1.0 costs $0.8/1M input and $3.2/1M 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 Amazon: Nova Pro 1.0?
DeepSeek: DeepSeek V3.2 offers a 50% read discount ($0.13/1M), whereas Amazon: Nova Pro 1.0 provides a 50% read discount ($0.4/1M). 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 Amazon: Nova Pro 1.0 to save 50%?
DeepSeek: DeepSeek V3.2 does not have a native 50% batch endpoint. Amazon: Nova Pro 1.0 supports 50% batch discounts.
4What are the context window limits and tiered pricing rules for DeepSeek: DeepSeek V3.2 vs Amazon: Nova Pro 1.0?
DeepSeek: DeepSeek V3.2 features a 163.84k context window with flat per-token pricing. In comparison, Amazon: Nova Pro 1.0 supports 300k tokens with flat per-token pricing.