AllocateVeo 3.0 vs Meta Llama 3.3 70B Instruct Turbo
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
Meta Llama 3.3 70B Instruct TurboLabGoogleMeta
AccessNot served on AllocateOpen weights
Context windown/a128K tokens
List price, inputNot served$1.04 / M tokens
List price, outputNot served$1.04 / M tokens
Cached inputn/an/a
LicenseProprietary APILlama community
Fine-tunableNoYes
Specifications and provider list prices from the Allocate catalog, checked 2026-09-12.
Choose Meta Llama 3.3 70B Instruct Turbo for
- Open weights you can fine-tune and own
Common questions
Which has the bigger context window?
Meta Llama 3.3 70B Instruct Turbo: 131,072 tokens (128K) against an unlisted window for Veo 3.0.
Can I fine-tune Veo 3.0 or Meta Llama 3.3 70B Instruct Turbo?
Meta Llama 3.3 70B Instruct Turbo publishes open weights (Llama community) 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 Llama 4 Scout Instruct (17Bx16E)Meta Llama 3.3 70B Instruct Turbo vs Llama 4 Scout Instruct (17Bx16E)Veo 3.0 vs Meta Llama 3.1 405B InstructMeta Llama 3.3 70B Instruct Turbo vs Meta Llama 3.1 405B InstructVeo 3.0 vs Gemini 3.5 FlashMeta Llama 3.3 70B Instruct Turbo vs Gemini 3.5 Flash
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.