AllocateCogito v2.1 671B vs GLM 5.2
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 671BG GLM 5.2
LabDeep CogitoZ.ai
AccessNot served on AllocateOpen weights
Context windown/a1M tokens
List price, inputNot served$1.4 / M tokens
List price, outputNot served$4.4 / M tokens
Cached inputn/a$0.26 / M tokens
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 GLM 5.2 for
- Agents on open weights
- Code and structured outputs
- Fine-tuning toward an owned model
Common questions
Which has the bigger context window?
GLM 5.2: 1,048,575 tokens (1M) against an unlisted window for Cogito v2.1 671B.
Can I fine-tune Cogito v2.1 671B or GLM 5.2?
Both publish open weights (Cogito v2.1 671B: Not listed; GLM 5.2: 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 GLM 4.7 FP8GLM 5.2 vs GLM 4.7 FP8GLM 5.2 vs GLM 5.1 FP4GLM 5.2 vs GLM 5.3Cogito v2.1 671B vs Kimi K2.5 Fp4GLM 5.2 vs Kimi K2.5 Fp4
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.