Comparisons

Deepseek V3.1 NVFP4 vs Gemini 3.5 Flash

On provider list prices, Deepseek V3.1 NVFP4 costs $0.60 per million input tokens against $1.50 for Gemini 3.5 Flash: 2.5x apart. Output is $1.70 against $9 (5.3x). On Allocate both bill at list plus the 7% transaction fee.

Deepseek V3.1 NVFP4 Gemini 3.5 Flash
LabDeepSeekGoogle
AccessOpen weightsAPI only
Context window128K tokens1M tokens
List price, input$0.6 / M tokens$1.5 / M tokens
List price, output$1.7 / M tokens$9 / M tokens
Cached inputn/an/a
LicenseMITProprietary API
Fine-tunableYesNo

Specifications and provider list prices from the Allocate catalog, checked 2026-07-08. Billed price is list plus the 7% transaction fee.

What the numbers say

Take 1,000,000 requests a month at 1,200 input and 350 output tokens each. That workload costs $1,315 a month on Deepseek V3.1 NVFP4 and $4,950 on Gemini 3.5 Flash at list: a gap of $3,635, or 3.8x.

Gemini 3.5 Flash reads 1M tokens per request against 128K for Deepseek V3.1 NVFP4, 7.6x the window. That decides which one can take whole documents without splitting them.

Deepseek V3.1 NVFP4$0.60$1.70
Gemini 3.5 Flash$1.50$9
InputOutput

Choose Deepseek V3.1 NVFP4 for

  • The lower list price ($0.60 in / $1.70 out per M tokens)
  • Open weights you can fine-tune and own
  • Fine-tuning under a permissive license (MIT)
Deepseek V3.1 NVFP4 details

Choose Gemini 3.5 Flash for

  • High-volume support and triage
  • Document extraction at scale
  • Vision and OCR pipelines
Gemini 3.5 Flash details

Common questions

Which is cheaper, Deepseek V3.1 NVFP4 or Gemini 3.5 Flash?

Deepseek V3.1 NVFP4, on this workload shape. At list prices it is $0.60/$1.70 per million tokens in and out against $1.50/$9 for Gemini 3.5 Flash. Billed on Allocate: $0.64/$1.82 against $1.60/$9.63, list plus 7%.

Which has the bigger context window?

Gemini 3.5 Flash: 1,000,000 tokens (1M) against 131,072 (128K) for Deepseek V3.1 NVFP4.

Can I fine-tune Deepseek V3.1 NVFP4 or Gemini 3.5 Flash?

Deepseek V3.1 NVFP4 publishes open weights (MIT) and can be fine-tuned on your own data. Gemini 3.5 Flash is a closed model served over API; its weights are not available.

Related comparisons

Run the numbers on your workload

Or don’t choose. On Allocate a route name is the contract: point yours at one model today, swap to the other tomorrow, and compare them on your live traffic with per-token metering.