Deepseek V3.2 API Pricing
Deepseek V3.2 costs $0.28 per 1M input tokens and $0.42 per 1M output tokens on DeepSeek's API. Prices are provider list prices in USD, refreshed as sources update; see the Deepseek V3.2 model profile for capability scores.
Price List
| Rate | Price (USD) | Notes |
|---|---|---|
| Input | $0.28 | per 1M tokens |
| Output | $0.42 | per 1M tokens |
| Blended input + output | $0.7 | 1M in + 1M out at list price |
What a Workload Costs
Computed straight from the list prices above — token counts are illustrative workload sizes, not measurements of Deepseek V3.2.
| Workload | Cost | Tokens |
|---|---|---|
| Short chat turn | $0.00049 | 1K in / 500 out |
| Summarize a long document | $0.029 | 100K in / 2K out |
| Agentic coding session | $0.182 | 500K in / 100K out |
| 1M input + 1M output tokens | $0.700 | 1M in / 1M out |
Effective Cost
In AI IQ's scoring, Deepseek V3.2's list price is adjusted by a token-usage multiplier of 1.326 (measured from real benchmark runs), giving an effective cost of $0.9282 per 1M input + output tokens. That places it #21 of 117 models on the effective-cost ranking (lower is cheaper). Some models spend far more tokens than others on the same task, so effective cost compares what a unit of work really costs. Method details are on the methodology page; see all models on the cost charts and the falling cost of intelligence over time.
Cheaper Alternatives at Similar Capability
Models with a lower effective cost that score within a few IQ points of Deepseek V3.2 (IQ 103), or better.
| Model | Provider | IQ | Effective Cost / 1M |
|---|---|---|---|
| mimo-v2-flash | Xiaomi | 105 | $0.6716 |
| gpt-oss-120b | OpenAI | 105 | $0.7632 |
| gemma-4-31b | 101 | $0.3359 | |
| gemini-3.1-flash-lite | 101 | $0.5906 | |
| gpt-oss-20b | OpenAI | 100 | $0.1937 |
| mercury-2 | US (Other) | 100 | $0.7457 |