AllocateVeo 3.0 vs Inkling FP4
Veo 3.0 is not currently in the Allocate serving catalog, so this page lists no prices for it: every price on this site comes from the live catalog.
Veo 3.0
Inkling FP4LabGoogleThinking Machines
AccessNot served on AllocateOpen weights
Context windown/a512K tokens
List price, inputNot served$1 / M tokens
List price, outputNot served$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 2026-09-12.
Choose Inkling FP4 for
- Open weights you can fine-tune and own
- Fine-tuning under a permissive license (Apache 2.0)
- Published cached-input pricing ($0.17 per M tokens)
Common questions
Which has the bigger context window?
Inkling FP4: 524,288 tokens (512K) against an unlisted window for Veo 3.0.
Can I fine-tune Veo 3.0 or Inkling FP4?
Inkling FP4 publishes open weights (Apache 2.0) and can be fine-tuned on your own data. Veo 3.0 is a closed model served over API; its weights are not available.
Related comparisons
Veo 3.0 vs Gemini 3.5 FlashInkling FP4 vs Gemini 3.5 FlashVeo 3.0 vs Gemini 3.1 ProInkling FP4 vs Gemini 3.1 ProVeo 3.0 vs GLM 4.7 FP8Inkling FP4 vs GLM 4.7 FP8
Run the numbers on your workload
Or do not 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.