Deepseek-V3.2 (Non-thinking Mode)
Specs & Pricing
API pricing per 1M tokens and core technical specificationsCost Calculator
Simulate estimated API usage cost based on your specific traffic and context sizeSimulation Results
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Alternative Models
Models with comparable benchmark score and pricing tier| Model | Provider | Context Window | Max Output | Training Cutoff | Input / 1M | Cache Price / 1M | Output / 1M | Benchmark | Speed | Total |
|---|---|---|---|---|---|---|---|---|---|---|
xAI | 2M | - | - | $0.20 | $0.05 | $0.50 | 80.75 | Fast | $0.0040 | |
xAI | 2M | - | - | $0.20 | $0.05 | $0.50 | 80.25 | Fast | $0.0040 | |
xAI | 2M | - | - | $0.20 | $0.05 | $0.50 | 73.25 | Blazing Fast | $0.0040 | |
xAI | 2M | - | - | $0.20 | $0.05 | $0.50 | 73.25 | Fast | $0.0040 | |
OpenAI | 128K | 16K | 2023-10 | $0.15 | $0.075 | $0.60 | 58.25 | Fast | $0.0040 |
Provider
Benchmark
80.75Speed
Fast
Training Cutoff
-
Context Window
2M
Max Output
-
Input / 1M
$0.20
Cache Price / 1M
$0.05
Output / 1M
$0.50
Provider
Benchmark
80.25Speed
Fast
Training Cutoff
-
Context Window
2M
Max Output
-
Input / 1M
$0.20
Cache Price / 1M
$0.05
Output / 1M
$0.50
Provider
Benchmark
73.25Speed
Blazing Fast
Training Cutoff
-
Context Window
2M
Max Output
-
Input / 1M
$0.20
Cache Price / 1M
$0.05
Output / 1M
$0.50
Provider
Benchmark
73.25Speed
Fast
Training Cutoff
-
Context Window
2M
Max Output
-
Input / 1M
$0.20
Cache Price / 1M
$0.05
Output / 1M
$0.50
Provider
Benchmark
58.25Speed
Fast
Training Cutoff
2023-10
Context Window
128K
Max Output
16K
Input / 1M
$0.15
Cache Price / 1M
$0.075
Output / 1M
$0.60
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Deepseek-V3.2 (Non-thinking Mode) Frequently Asked Questions (FAQ)
Key insights into Deepseek-V3.2 (Non-thinking Mode) API pricing, context capacity, caching savings, and performance benchmarks
Q. What is the API pricing for Deepseek-V3.2 (Non-thinking Mode)? How much does it cost per 1M tokens?＋
Deepseek-V3.2 (Non-thinking Mode) (DeepSeek) is priced at $0.2800 per 1 million input tokens and $0.4200 per 1 million output tokens. The output rate is approximately 1.5x higher than the input rate. You can simulate your exact monthly API expenses tailored to your request volume and token length using the calculator above.
Q. How does off-peak pricing work for Deepseek-V3.2 (Non-thinking Mode)?＋
Deepseek-V3.2 (Non-thinking Mode) offers discounted off-peak pricing during designated off-peak windows (平日 00:30-08:30 (UTC+8) & 土日終日). During off-peak hours, API rates are $0.1400/1M input (vs standard $0.2800) and $0.2100/1M output (vs standard $0.4200), with cached input at $0.0140/1M. Scheduling batch jobs and async processing during these hours yields significant cost savings.
Q. What are the context window and maximum output limits of Deepseek-V3.2 (Non-thinking Mode)?＋
Deepseek-V3.2 (Non-thinking Mode) features a 128K context window and a maximum output limit of 8K tokens per request. It provides sufficient capacity for standard chat interactions and structured data processing.
Q. Does Deepseek-V3.2 (Non-thinking Mode) support Prompt Caching, and how much cost can be saved?＋
Yes, Deepseek-V3.2 (Non-thinking Mode) supports prompt caching. Cached reads cost $0.0280 per 1M tokens, delivering an estimated 90% discount compared to standard input rates. (Minimum cache threshold: 64) Caching reusable system instructions and documentation substantially lowers recurring API expenses.
Q. What is the benchmark score (74.75) and performance profile of Deepseek-V3.2 (Non-thinking Mode)?＋
Deepseek-V3.2 (Non-thinking Mode) achieves an overall benchmark score of 74.75/100 with a "Standard" speed rating. It is optimized for high-throughput, low-latency applications requiring budget-conscious performance.
Q. Which alternative models are comparable to Deepseek-V3.2 (Non-thinking Mode)?＋
Key alternatives in similar price-to-performance tiers include grok-4-1-fast-reasoning, grok-4-fast-reasoning, grok-4-1-fast-non-reasoning. We recommend comparing them based on your latency targets, context window needs, and prompt caching benefits using the full comparison tool on this site.