Comparisons

Gemini 3.5 Flash vs Inkling

On provider list prices, Inkling costs $1.87 per million input tokens against $1.50 for Gemini 3.5 Flash: effectively level. Output is $4.68 against $9 (1.9x). On Allocate both bill at list plus the 7% transaction fee.

Gemini 3.5 Flash Inkling
LabGoogleThinking Machines
AccessAPI onlyOpen weights
Context window1M tokens1M tokens
List price, input$1.5 / M tokens$1.87 / M tokens
List price, output$9 / M tokens$4.68 / M tokens
Cached inputn/a$0.374 / M tokens
LicenseProprietary APIApache 2.0
Fine-tunableNoYes

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 $3,882 a month on Inkling and $4,950 on Gemini 3.5 Flash at list: a gap of $1,068, or 1.3x.

Gemini 3.5 Flash$1.50$9
Inkling$1.87$4.68
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 for

  • Open weights you can fine-tune and own
  • Fine-tuning under a permissive license (Apache 2.0)
  • Published cached-input pricing ($0.37 per M tokens)
Inkling details

Common questions

Which is cheaper, Gemini 3.5 Flash or Inkling?

Inkling, on this workload shape. At list prices it is $1.87/$4.68 per million tokens in and out against $1.50/$9 for Gemini 3.5 Flash. Billed on Allocate: $2.00/$5.01 against $1.60/$9.63, list plus 7%.

Which has the bigger context window?

They match: both read 1,000,000 tokens (1M) per request.

Can I fine-tune Gemini 3.5 Flash or Inkling?

Inkling 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.