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DeepSeek R1 0528 NVFP4 vs Deepseek V3.1 NVFP4

On provider list prices, Deepseek V3.1 NVFP4 costs $0.60 per million input tokens against $3 for DeepSeek R1 0528 NVFP4: 5.0x apart. Output is $1.70 against $7 (4.1x). On Allocate both bill at list plus the 7% transaction fee.

DeepSeek R1 0528 NVFP4 Deepseek V3.1 NVFP4
LabDeepseekDeepSeek
AccessOpen weightsOpen weights
Context window160K tokens128K tokens
List price, input$3 / M tokens$0.6 / M tokens
List price, output$7 / M tokens$1.7 / M tokens
Cached inputn/an/a
LicenseMITMIT
Fine-tunableYesYes

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 $6,050 on DeepSeek R1 0528 NVFP4 at list: a gap of $4,735, or 4.6x.

DeepSeek R1 0528 NVFP4 reads 160K tokens per request against 128K for Deepseek V3.1 NVFP4, 1.3x the window. That decides which one can take whole documents without splitting them.

Deepseek V3.1 NVFP4$0.60$1.70
DeepSeek R1 0528 NVFP4$3$7
InputOutput

Choose DeepSeek R1 0528 NVFP4 for

  • The longer context window (160K vs 128K tokens)
  • Fine-tuning under a permissive license (MIT)
DeepSeek R1 0528 NVFP4 details

Choose Deepseek V3.1 NVFP4 for

  • The lower list price ($0.60 in / $1.70 out per M tokens)
  • Fine-tuning under a permissive license (MIT)
Deepseek V3.1 NVFP4 details

Common questions

Which is cheaper, DeepSeek R1 0528 NVFP4 or Deepseek V3.1 NVFP4?

Deepseek V3.1 NVFP4, on this workload shape. At list prices it is $0.60/$1.70 per million tokens in and out against $3/$7 for DeepSeek R1 0528 NVFP4. Billed on Allocate: $0.64/$1.82 against $3.21/$7.49, list plus 7%.

Which has the bigger context window?

DeepSeek R1 0528 NVFP4: 163,840 tokens (160K) against 131,072 (128K) for Deepseek V3.1 NVFP4.

Can I fine-tune DeepSeek R1 0528 NVFP4 or Deepseek V3.1 NVFP4?

Both publish open weights (DeepSeek R1 0528 NVFP4: MIT; Deepseek V3.1 NVFP4: MIT), so both can be fine-tuned. On Allocate the trained weights stay inside your boundary and belong to you.

Related comparisons

DeepSeek R1 0528 NVFP4 vs Deepseek V4 ProDeepseek V3.1 NVFP4 vs Deepseek V4 ProDeepSeek R1 0528 NVFP4 vs GLM 5.2Deepseek V3.1 NVFP4 vs GLM 5.2DeepSeek R1 0528 NVFP4 vs Meta Llama 3.1 405B InstructDeepseek V3.1 NVFP4 vs Meta Llama 3.1 405B Instruct

Run the numbers on your workload

LLM price comparisonAgent cost calculatorDeepSeek R1 0528 NVFP4Deepseek V3.1 NVFP4

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.

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