AllocateDeepSeek R1 0528 NVFP4 vs Gemini 3.1 Pro
On provider list prices, DeepSeek R1 0528 NVFP4 costs $3 per million input tokens against $2 for Gemini 3.1 Pro: effectively level. Output is $7 against $12 (1.7x). On Allocate both bill at list plus the 7% transaction fee.
DeepSeek R1 0528 NVFP4
Gemini 3.1 ProSpecifications 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 $6,050 a month on DeepSeek R1 0528 NVFP4 and $6,600 on Gemini 3.1 Pro at list: a gap of $550.
Gemini 3.1 Pro 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.
Choose DeepSeek R1 0528 NVFP4 for
- Open weights you can fine-tune and own
- Fine-tuning under a permissive license (MIT)
Choose Gemini 3.1 Pro for
- Judgment-heavy workflows
- Long-context analysis
- Escalation tier above Flash
Common questions
Which is cheaper, DeepSeek R1 0528 NVFP4 or Gemini 3.1 Pro?
DeepSeek R1 0528 NVFP4, on this workload shape. At list prices it is $3/$7 per million tokens in and out against $2/$12 for Gemini 3.1 Pro. Billed on Allocate: $3.21/$7.49 against $2.14/$12.84, list plus 7%.
Which has the bigger context window?
Gemini 3.1 Pro: 1,000,000 tokens (1M) against 163,840 (160K) for DeepSeek R1 0528 NVFP4.
Can I fine-tune DeepSeek R1 0528 NVFP4 or Gemini 3.1 Pro?
DeepSeek R1 0528 NVFP4 publishes open weights (MIT) and can be fine-tuned on your own data. Gemini 3.1 Pro 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.