deepseek-v4-pro
$393.24 / month- Input cost
- $314.94
- Output cost
- $78.30
- Per 1,000 calls
- $3.9324
- Pricing profile
- standard / cache miss
Source-tracked model comparison
DeepSeek V4 Pro vs Gemini 2.5 Flash: which costs less for batch document processing?
Compare verified pricing and model limits for high-volume document processing across DeepSeek and Gemini. The cost example uses a high-volume document processing workload and does not assume equal model quality.
Direct cost answer: deepseek-v4-pro is estimated at $393.24 per month and Gemini 2.5 Flash at $455.40 for 12,000 input tokens, 900 output tokens, and 100,000 monthly requests. deepseek-v4-pro is $62.16 lower under these assumptions. This does not identify a quality winner.
Tracked facts
Pricing and model limits
Prices are USD per 1M tokens under each model's verified default profile.
| Field | deepseek-v4-pro | Gemini 2.5 Flash |
|---|---|---|
| Provider | DeepSeek | |
| API model ID | deepseek-v4-pro | gemini-2.5-flash |
| Input / 1M | $0.435 | $0.30 |
| Cached input / 1M | $0.0036 | $0.03 |
| Output / 1M | $0.87 | $2.50 |
| Context window | 1,000,000 tokens | 1,048,576 tokens |
| Maximum output | 384,000 tokens | 65,536 tokens |
| Accepted input | text | text, image, video, audio |
Example workload
High-volume document processing cost scenario
12,000 input and 900 output tokens per request, 100,000 monthly requests, and 40% cached input.
Gemini 2.5 Flash
$455.40 / month- Input cost
- $230.40
- Output cost
- $225.00
- Per 1,000 calls
- $4.554
- Pricing profile
- standard / text
Cost result: deepseek-v4-pro is $62.16 lower per month for these assumptions. This is a price comparison, not a model-quality ranking.
Questions to answer before choosing
- Which records need a more capable fallback?
- How much repeated context can be cached?
- What retry rate appears at the intended concurrency?
What this estimate leaves out
Displayed totals use each model's verified default profile; provider batch discounts are not automatically applied.
Latency, reliability, output quality, retries, regional processing, and provider-specific tool charges can change the practical decision.
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