AllocateGemini 3.1 Pro vs Inkling FP4
On provider list prices, Inkling FP4 costs $1 per million input tokens against $2 for Gemini 3.1 Pro: 2.0x apart. Output is $4.05 against $12 (3.0x).
Gemini 3.1 Pro
Inkling FP4Specifications and provider list prices from the Allocate catalog, checked 2026-07-21.
What the numbers say
Take 1,000,000 requests a month at 1,200 input and 350 output tokens each. That workload costs $2,618 a month on Inkling FP4 and $6,600 on Gemini 3.1 Pro at list: a gap of $3,983, or 2.5x.
Gemini 3.1 Pro reads 1M tokens per request against 512K for Inkling FP4, 1.9x the window. That decides which one can take whole documents without splitting them.
Choose Gemini 3.1 Pro for
- Judgment-heavy workflows
- Long-context analysis
- Escalation tier above Flash
Choose Inkling FP4 for
- The lower list price ($1 in / $4.05 out per M tokens)
- Open weights you can fine-tune and own
- Fine-tuning under a permissive license (Apache 2.0)
Common questions
Which is cheaper, Gemini 3.1 Pro or Inkling FP4?
Inkling FP4, on this workload shape. At list prices it is $1/$4.05 per million tokens in and out against $2/$12 for Gemini 3.1 Pro. Billed on Allocate: $1.07/$4.33 against $2.14/$12.84.
Which has the bigger context window?
Gemini 3.1 Pro: 1,000,000 tokens (1M) against 524,288 (512K) for Inkling FP4.
Can I fine-tune Gemini 3.1 Pro or Inkling FP4?
Inkling FP4 publishes open weights (Apache 2.0) 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.