Comparisons

DeepSeek R1 0528 NVFP4 vs Qwen3.7 Max

On provider list prices, Qwen3.7 Max costs $1.25 per million input tokens against $3 for DeepSeek R1 0528 NVFP4: 2.4x apart. Output is $3.75 against $7 (1.9x). On Allocate both bill at list plus the 7% transaction fee.

DeepSeek R1 0528 NVFP4 Qwen3.7 Max
LabDeepseekQwen
AccessOpen weightsAPI only
Context window160K tokens1M tokens
List price, input$3 / M tokens$1.25 / M tokens
List price, output$7 / M tokens$3.75 / M tokens
Cached inputn/a$0.125 / 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 $2,813 a month on Qwen3.7 Max and $6,050 on DeepSeek R1 0528 NVFP4 at list: a gap of $3,238, or 2.2x.

Qwen3.7 Max reads 1M tokens per request against 160K for DeepSeek R1 0528 NVFP4, 6.1x the window. That decides which one can take whole documents without splitting them.

Qwen3.7 Max$1.25$3.75
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 Qwen3.7 Max for

  • The lower list price ($1.25 in / $3.75 out per M tokens)
  • The longer context window (1M vs 160K tokens)
  • Published cached-input pricing ($0.13 per M tokens)
Qwen3.7 Max details

Common questions

Which is cheaper, DeepSeek R1 0528 NVFP4 or Qwen3.7 Max?

Qwen3.7 Max, on this workload shape. At list prices it is $1.25/$3.75 per million tokens in and out against $3/$7 for DeepSeek R1 0528 NVFP4. Billed on Allocate: $1.34/$4.01 against $3.21/$7.49, list plus 7%.

Which has the bigger context window?

Qwen3.7 Max: 1,000,000 tokens (1M) against 163,840 (160K) for DeepSeek R1 0528 NVFP4.

Can I fine-tune DeepSeek R1 0528 NVFP4 or Qwen3.7 Max?

DeepSeek R1 0528 NVFP4 publishes open weights (MIT) and can be fine-tuned on your own data. Qwen3.7 Max 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.