AllocateDeepSeek V4 vs Gemini 3.1 Pro
On provider list prices, DeepSeek V4 costs $1.74 per million input tokens against $2 for Gemini 3.1 Pro: 1.1x apart. Output is $3.48 against $12 (3.4x). On Allocate both bill at list plus the 7% transaction fee.
DeepSeek V4
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 $3,306 a month on DeepSeek V4 and $6,600 on Gemini 3.1 Pro at list: a gap of $3,294, or 2.0x.
Gemini 3.1 Pro reads 1M tokens per request against 512K for DeepSeek V4, 2.0x the window. That decides which one can take whole documents without splitting them.
Choose DeepSeek V4 for
- Reasoning-heavy agents
- Long-document analysis
- Cost-sensitive production routes
Choose Gemini 3.1 Pro for
- Judgment-heavy workflows
- Long-context analysis
- Escalation tier above Flash
Common questions
Which is cheaper, DeepSeek V4 or Gemini 3.1 Pro?
DeepSeek V4, on this workload shape. At list prices it is $1.74/$3.48 per million tokens in and out against $2/$12 for Gemini 3.1 Pro. Billed on Allocate: $1.86/$3.72 against $2.14/$12.84, list plus 7%.
Which has the bigger context window?
Gemini 3.1 Pro: 1,000,000 tokens (1M) against 512,000 (512K) for DeepSeek V4.
Can I fine-tune DeepSeek V4 or Gemini 3.1 Pro?
No. Both are closed models served over API. If you want a model you can train and own, start from an open-weights base in the catalog.
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.