AllocateCogito v2.1 671B vs Inkling FP4
Cogito v2.1 671B 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.
C Cogito v2.1 671B
Inkling FP4
Inkling FP4LabDeep CogitoThinking 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
LicenseNot listedApache 2.0
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 Inkling FP4 for
- 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 Cogito v2.1 671B.
Can I fine-tune Cogito v2.1 671B or Inkling FP4?
Both publish open weights (Cogito v2.1 671B: Not listed; Inkling FP4: Apache 2.0), 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 GLM 4.7 FP8Inkling FP4 vs GLM 4.7 FP8Cogito v2.1 671B vs Deepseek V3.1 NVFP4Inkling FP4 vs Deepseek V3.1 NVFP4Cogito v2.1 671B vs Meta Llama 3.3 70B Instruct TurboInkling FP4 vs Meta Llama 3.3 70B Instruct Turbo
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.