DeepSeek V3.2 (via deepseek-chat) offers frontier-class quality at $0.28/$0.42 per 1M tokens — among the lowest prices for a flagship-tier model. With open weights and aggressive cache discounts, it is the standard pick when cost dominates and Chinese API hosting is acceptable.
Pricing Breakdown
| Volume | Input Cost | Output Cost | Combined (50/50) |
|---|---|---|---|
| 1,000 tokens | $0.0003 | $0.0004 | $0.0003 |
| 10,000 tokens | $0.0028 | $0.0042 | $0.0035 |
| 100,000 tokens | $0.0280 | $0.0420 | $0.0350 |
| 1,000,000 tokens | $0.2800 | $0.4200 | $0.3500 |
Strengths
- ✓Frontier-class quality at ~10x lower cost than US flagships
- ✓Cache-hit input pricing of $0.028/1M (90% off)
- ✓Open weights available
- ✓Strong coding and multilingual
Weaknesses
- ✗China-based — may raise data residency concerns
- ✗128K context smaller than flagship competitors
Compare DeepSeek V3.2 (Chat) With
Frequently Asked Questions
How much does DeepSeek V3.2 (Chat) cost?
DeepSeek V3.2 (Chat) costs $0.28/1M per 1M input tokens and $0.42/1M per 1M output tokens.
What is DeepSeek V3.2 (Chat)'s context window?
DeepSeek V3.2 (Chat) has a context window of 128K tokens, which means it can process up to 128,000 tokens in a single request.
Is DeepSeek V3.2 (Chat) open source?
Yes, DeepSeek V3.2 (Chat) is open source. The model weights are publicly available and can be self-hosted.
What is DeepSeek V3.2 (Chat) best used for?
DeepSeek V3.2 (Chat) is best suited for: coding, low-cost, data-extraction, customer-support, translation. Frontier-class quality at ~10x lower cost than US flagships.
What is DeepSeek V3.2 (Chat)'s ELO score?
DeepSeek V3.2 (Chat) has an ELO score of 1355 on the LMSYS Chatbot Arena leaderboard, placing it among top-tier models.