# DeepSeek V4 vs Gemini 3.5 Flash

On provider list prices, DeepSeek V4 costs $1.74 per million input tokens against $1.50 for Gemini 3.5 Flash: effectively level. Output is $3.48 against $9 (2.6x).

## Specifications

| | DeepSeek V4 | Gemini 3.5 Flash |
| --- | --- | --- |
| Lab | Deepseek | Google |
| Access | API only | API only |
| Context window | 512K tokens | 1M tokens |
| List price, input | $1.74 / M tokens | $1.50 / M tokens |
| List price, output | $3.48 / M tokens | $9 / M tokens |
| Cached input | $0.20 / M tokens | n/a |
| License | Proprietary API | Proprietary API |
| Fine-tunable | No | No |

Specifications and provider list prices from the Allocate catalog, checked 2026-07-21.

## What the numbers say

Take 1,000,000 requests a month at 1,200 input and 350 output tokens each. That workload costs $3,306 a month on DeepSeek V4 and $4,950 on Gemini 3.5 Flash at list: a gap of $1,644, or 1.5x.

Gemini 3.5 Flash reads 1M tokens per request against 512K for DeepSeek V4, 2.0x the window. That decides which one can take whole documents without splitting them.

## Choose DeepSeek V4 for

- Reasoning-heavy agents
- Long-document analysis
- Cost-sensitive production routes

## Choose Gemini 3.5 Flash for

- High-volume support and triage
- Document extraction at scale
- Vision and OCR pipelines

## Common questions

### Which is cheaper, DeepSeek V4 or Gemini 3.5 Flash?

DeepSeek V4, on this workload shape. At list prices it is $1.74/$3.48 per million tokens in and out against $1.50/$9 for Gemini 3.5 Flash. Billed on Allocate: $1.86/$3.72 against $1.60/$9.63.

### Which has the bigger context window?

Gemini 3.5 Flash: 1,000,000 tokens (1M) against 512,000 (512K) for DeepSeek V4.

### Can I fine-tune DeepSeek V4 or Gemini 3.5 Flash?

No. Both are closed models served over API. If you want a model you can train and own, start from an open-weights base in the catalog.

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[HTML page](https://allocate.network/compare/deepseek-v4-vs-gemini-3-5-flash) · [DeepSeek V4](https://allocate.network/models/deepseek-v4.md) · [Gemini 3.5 Flash](https://allocate.network/models/gemini-3-5-flash.md) · [Machine-readable catalog](https://allocate.network/catalog.json)
