Comparisons

DeepSeek R1 0528 NVFP4 vs MiniMax M3

On provider list prices, MiniMax M3 costs $0.30 per million input tokens against $3 for DeepSeek R1 0528 NVFP4: 10.0x apart. Output is $1.20 against $7 (5.8x). On Allocate both bill at list plus the 7% transaction fee.

DeepSeek R1 0528 NVFP4M MiniMax M3
LabDeepseekMiniMaxAI
AccessOpen weightsAPI only
Context window160K tokens512K tokens
List price, input$3 / M tokens$0.3 / M tokens
List price, output$7 / M tokens$1.2 / M tokens
Cached inputn/a$0.06 / M tokens
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 $780 a month on MiniMax M3 and $6,050 on DeepSeek R1 0528 NVFP4 at list: a gap of $5,270, or 7.8x.

MiniMax M3 reads 512K tokens per request against 160K for DeepSeek R1 0528 NVFP4, 3.2x the window. That decides which one can take whole documents without splitting them.

MiniMax M3$0.30$1.20
DeepSeek R1 0528 NVFP4$3$7
InputOutput

Choose DeepSeek R1 0528 NVFP4 for

  • Open weights you can fine-tune and own
  • Fine-tuning under a permissive license (MIT)
DeepSeek R1 0528 NVFP4 details

Choose MiniMax M3 for

  • The lower list price ($0.30 in / $1.20 out per M tokens)
  • The longer context window (512K vs 160K tokens)
  • Published cached-input pricing ($0.06 per M tokens)
MiniMax M3 details

Common questions

Which is cheaper, DeepSeek R1 0528 NVFP4 or MiniMax M3?

MiniMax M3, on this workload shape. At list prices it is $0.30/$1.20 per million tokens in and out against $3/$7 for DeepSeek R1 0528 NVFP4. Billed on Allocate: $0.32/$1.28 against $3.21/$7.49, list plus 7%.

Which has the bigger context window?

MiniMax M3: 524,288 tokens (512K) against 163,840 (160K) for DeepSeek R1 0528 NVFP4.

Can I fine-tune DeepSeek R1 0528 NVFP4 or MiniMax M3?

DeepSeek R1 0528 NVFP4 publishes open weights (MIT) and can be fine-tuned on your own data. MiniMax M3 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.