DeepSeek V3.2
Open-weights frontier model that matched GPT-4-class quality at a fraction of the inference cost. Sparked the late-2024 cost reset.
DeepSeek V3.2 is a efficient AI model from DeepSeek. It costs $0.259 per million input tokens and $0.420 per million output tokens (blended $0.307/M), with a 163,840-token context window.
Profile inherited from upstream DeepSeek-V3 ↗ — this is a hosted variant of the same open-weights model.
0.0%over 91 days · hover to read
- Frontier quality, open weights
- Aggressive pricing
- Strong code & math
- MoE architecture
- Self-hosted frontier inference
- Cost-sensitive chat
- Code generation
Benchmarks
More from DeepSeek
See all 11 →Price history
4 recorded changes| Date | Rate | Was | Now | Change |
|---|---|---|---|---|
| 11 Jul 2026 | Input | $0.229 | $0.214 | -6.3% |
| 11 Jul 2026 | Output | $0.343 | $0.322 | -6.3% |
| 27 Jun 2026 | Output | $0.378 | $0.343 | -9.2% |
| 27 Jun 2026 | Input | $0.252 | $0.229 | -9.2% |
Rates per million tokens, as published by the provider or its router listing. Tracking runs since 3 May; anything earlier is not on record. See every tracked price change.
Frequently asked questions
How much does DeepSeek V3.2 cost?
DeepSeek V3.2 costs $0.259 per million input tokens and $0.420 per million output tokens, for a blended reference rate of $0.307 per million tokens.
What is DeepSeek V3.2's context window?
DeepSeek V3.2 supports up to 163,840 tokens of context in a single request.
What is DeepSeek V3.2 best for?
DeepSeek V3.2 is well suited to Frontier quality, open weights, Aggressive pricing and Strong code & math.
Who makes DeepSeek V3.2?
DeepSeek V3.2 is developed and served by DeepSeek.