DeepSeek-V3.2 (Non-thinking): API Pricing, Context Window & Benchmarks
DeepSeek-V3.2 (Non-thinking) is a language model from DeepSeek, released in December 2025, with a 131K-token context window, and pricing from $0.280/M input and $0.420/M output.
DeepSeek-V3.2 in non-thinking mode. A powerful language model with 685B parameters using DeepSeek Sparse Attention (DSA) for efficient long-context processing. Supports JSON output, tool calls, and chat prefix completion. This is the
DeepSeek-V3.2 (Non-thinking) pricing
Providers
DeepSeek-V3.2 (Non-thinking) starts at $0.280 per million input tokens and $0.420 per million output tokens via DeepSeek.
| Provider | Input $/M | Output $/M | Context in / out | TTFT p50 / p95 s | Output avg / p5 c/s | Success 7d | Modalities in / out |
|---|---|---|---|---|---|---|---|
 DeepSeek | $0.280 | $0.420 | 131.1K/8.2K | 0.77/0.77 | 610/610 | 33.33%(6) | / |
Cached input is the discounted price for prompt tokens served from a provider cache. TTFT is time to first token. Output is characters per second; p5 is the sustained floor exceeded by 95% of observed requests. Success is calculated from completed versus failed requests over the trailing seven days.
DeepSeek-V3.2 (Non-thinking) model size
DeepSeek-V3.2 (Non-thinking) has 685 billion parameters. See how it compares to other models in the same parameter range.
DeepSeek-V3.2 (Non-thinking) context window
Input and output token limits for DeepSeek-V3.2 (Non-thinking), plus how it ranks on long-context understanding.
DeepSeek-V3.2 (Non-thinking) API
Run a request to see the response
Use it in your code
Billed at $0.28 input / $0.42 output per 1M tokens through the LLM Stats gateway.
from openai import OpenAI
client = OpenAI(
api_key="YOUR_API_KEY",
base_url="https://gateway.llm-stats.com/v1"
)
response = client.chat.completions.create(
model="deepseek-chat",
messages=[
{"role": "user", "content": "What is machine learning?"}
]
)
print(response.choices[0].message.content)Need an API key? Create one above in the playground, or read the API documentation.
DeepSeek-V3.2 (Non-thinking) latency
DeepSeek-V3.2 (Non-thinking) time to first token, sustained output throughput, and failed-request rate from live API traffic over the trailing 7 days.
Provider operational metrics
Time to first token, output throughput, and failed-request rate from live API traffic
DeepSeek-V3.2 (Non-thinking) examples
Recent arena outputs from DeepSeek-V3.2 (Non-thinking), picked from the highest-ranked matchups.
DeepSeek-V3.2 (Non-thinking) license
DeepSeek-V3.2 (Non-thinking) is released under the MIT license, which permits commercial use, has 685.0B parameters.
- License
- MIT
- Commercial use allowed
- Parameters
- 685.0B
MIT License - allows commercial use
DeepSeek-V3.2 (Non-thinking) resources
Official sources for DeepSeek-V3.2 (Non-thinking): api documentation, official playground, paper or system card, model weights.
FAQ
Common questions about DeepSeek-V3.2 (Non-thinking).