Deepseek V4 Pro API Pricing
Deepseek V4 Pro costs $1.32 per 1M input tokens and $3.96 per 1M output tokens on DeepSeek's API. Cached input is billed at $0.004 per 1M tokens. Prices are provider list prices in USD, refreshed as sources update; see the Deepseek V4 Pro model profile for capability scores.
Price List
| Rate | Price (USD) | Notes |
|---|---|---|
| Input | $1.32 | per 1M tokens |
| Output | $3.96 | per 1M tokens |
| Cached input (read) | $0.004 | per 1M tokens |
| Blended input + output | $5.28 | 1M in + 1M out at list price |
| Context window | 1M tokens |
What a Workload Costs
Computed straight from the list prices above — token counts are illustrative workload sizes, not measurements of Deepseek V4 Pro.
| Workload | Cost | Tokens |
|---|---|---|
| Short chat turn | $0.00330 | 1K in / 500 out |
| Summarize a long document | $0.140 | 100K in / 2K out |
| Agentic coding session | $1.06 | 500K in / 100K out |
| 1M input + 1M output tokens | $5.28 | 1M in / 1M out |
Effective Cost
In AI IQ's scoring, Deepseek V4 Pro's list price is adjusted by a token-usage multiplier of 1.318 (measured from real benchmark runs), giving an effective cost of $6.96 per 1M input + output tokens. That places it #72 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 V4 Pro (IQ 117), or better.
| Model | Provider | IQ | Effective Cost / 1M |
|---|---|---|---|
| Muse Spark 1.2 | Meta | 122 | $4.19 |
| GLM-5.3-Flash | Z.ai | 121 | $4.99 |
| muse-spark-1.1 | Meta | 119 | $4.19 |
| kimi-k2.6 | Kimi | 119 | $4.50 |
| kimi-k2.7-code | Kimi | 118 | $3.73 |
| mimo-v2.5-pro | Xiaomi | 116 | $1.80 |