AllocateCogito v2.1 671B vs Llama 4 70B
Cogito v2.1 671B and Llama 4 70B are not currently in the Allocate serving catalog, so this page lists no prices for them: every price on this site comes from the live catalog.
C Cogito v2.1 671B
Llama 4 70B
Llama 4 70BLabDeep CogitoMeta
AccessNot served on AllocateNot served on Allocate
Context windown/an/a
List price, inputNot servedNot served
List price, outputNot servedNot served
Cached inputn/an/a
LicenseNot listedNot listed
Fine-tunableYesYes
Specifications and provider list prices from the Allocate catalog, checked 2026-09-12.
Choose Cogito v2.1 671B for
- Long reasoning chains
- Open-weight agents
- Self-hosted reasoning
Choose Llama 4 70B for
- First private fine-tunes
- Classification and extraction
- On-boundary deployments
Common questions
Can I fine-tune Cogito v2.1 671B or Llama 4 70B?
Both publish open weights (Cogito v2.1 671B: Not listed; Llama 4 70B: Not listed), so both can be fine-tuned. On Allocate the trained weights stay inside your boundary and belong to you.
Related comparisons
Cogito v2.1 671B vs Llama 4 Scout Instruct (17Bx16E)Llama 4 70B vs Llama 4 Scout Instruct (17Bx16E)Cogito v2.1 671B vs Meta Llama 3.3 70B Instruct TurboLlama 4 70B vs Meta Llama 3.3 70B Instruct TurboCogito v2.1 671B vs Meta Llama 3.1 405B InstructLlama 4 70B vs Meta Llama 3.1 405B Instruct
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.