Comparisons

Gemini 3.5 Flash vs Inkling FP4

On provider list prices, Inkling FP4 costs $1 per million input tokens against $1.50 for Gemini 3.5 Flash: 1.5x apart. Output is $4.05 against $9 (2.2x).

Gemini 3.5 Flash Inkling FP4
LabGoogleThinking Machines
AccessAPI onlyOpen weights
Context window1M tokens512K tokens
List price, input$1.5 / M tokens$1 / M tokens
List price, output$9 / M tokens$4.05 / M tokens
Cached inputn/a$0.17 / M tokens
LicenseProprietary APIApache 2.0
Fine-tunableNoYes

Specifications 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 $4,950 on Gemini 3.5 Flash at list: a gap of $2,333, or 1.9x.

Gemini 3.5 Flash 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.

Inkling FP4$1$4.05
Gemini 3.5 Flash$1.50$9
InputOutput

Choose Gemini 3.5 Flash for

  • High-volume support and triage
  • Document extraction at scale
  • Vision and OCR pipelines
Gemini 3.5 Flash details

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)
Inkling FP4 details

Common questions

Which is cheaper, Gemini 3.5 Flash or Inkling FP4?

Inkling FP4, on this workload shape. At list prices it is $1/$4.05 per million tokens in and out against $1.50/$9 for Gemini 3.5 Flash. Billed on Allocate: $1.07/$4.33 against $1.60/$9.63.

Which has the bigger context window?

Gemini 3.5 Flash: 1,000,000 tokens (1M) against 524,288 (512K) for Inkling FP4.

Can I fine-tune Gemini 3.5 Flash or Inkling FP4?

Inkling FP4 publishes open weights (Apache 2.0) and can be fine-tuned on your own data. Gemini 3.5 Flash 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.