DeepSeek-V3.2 (Thinking): API Pricing, Context Window & Benchmarks
DeepSeek-V3.2 (Thinking) is a language model from DeepSeek, released in December 2025.
DeepSeek-V3.2 in thinking mode. A powerful reasoning model with 685B parameters using DeepSeek Sparse Attention (DSA). This mode enables extended chain-of-thought reasoning for complex problem-solving tasks. Supports JSON output and tool
DeepSeek-V3.2 (Thinking) benchmarks
Rankings
Quality Tracker
DeepSeek-V3.2 (Thinking) Performance Across Datasets
Scores sourced from the model's scorecard, paper, or official blog posts
llm-stats.com - Mon Jul 20 2026DeepSeek-V3.2 (Thinking) pricing
Providers
DeepSeek-V3.2 (Thinking) starts at $0.280 per million input tokens and $0.420 per million output tokens via DeepSeek.
| Provider | Input $/M | Output $/M | Workload 1M + 100K | Context in / out | TTFT p50 / p95 s | Output avg / p5 c/s | Success 7d | Modalities in / out |
|---|---|---|---|---|---|---|---|---|
 DeepSeek | $0.280 | $0.420 | $0.322 | 131.1K/65.5K | —/0.50 | 50/— | — | / |
Workload cost uses 1M input tokens plus 100K output tokens at published list prices without assuming a cache hit. 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 (Thinking) model size
DeepSeek-V3.2 (Thinking) has 685 billion parameters. See how it compares to other models in the same parameter range.
DeepSeek-V3.2 (Thinking) context window
Input and output token limits for DeepSeek-V3.2 (Thinking), plus how it ranks on long-context understanding.
DeepSeek-V3.2 (Thinking) API
Available from the model provider
DeepSeek-V3.2 (Thinking) has an official provider API. It is not currently routed through the LLM Stats gateway.
Read the official API documentationDeepSeek-V3.2 (Thinking) latency
DeepSeek-V3.2 (Thinking) time to first token, sustained output throughput, and failed-request rate from live API traffic over the trailing 7 days.
DeepSeek-V3.2 (Thinking) examples
Recent arena outputs from DeepSeek-V3.2 (Thinking), picked from the highest-ranked matchups.
DeepSeek-V3.2 (Thinking) license
DeepSeek-V3.2 (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 (Thinking) resources
Official sources for DeepSeek-V3.2 (Thinking): api documentation, official playground, paper or system card, model weights.
DeepSeek-V3.2 (Thinking) vs other models
The most-compared alternatives to DeepSeek-V3.2 (Thinking) are Grok-3, Seed 2.0 Lite, K-EXAONE-236B-A23B. Open any pair side-by-side for benchmarks, pricing, context, and latency.
Models like DeepSeek-V3.2 (Thinking)
Models ranked just above and below DeepSeek-V3.2 (Thinking) by LLM Stats score.
FAQ
Common questions about DeepSeek-V3.2 (Thinking).