AllocateVidu 2.0 vs GLM 4.7 FP8
Vidu 2.0 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.
V Vidu 2.0G GLM 4.7 FP8
LabViduZ.ai
AccessNot served on AllocateOpen weights
Context windown/a198K tokens
List price, inputNot served$0.45 / M tokens
List price, outputNot served$2 / M tokens
Cached inputn/an/a
LicenseProprietary APIMIT
Fine-tunableNoYes
Specifications and provider list prices from the Allocate catalog, checked 2026-09-12.
Choose GLM 4.7 FP8 for
- Open weights you can fine-tune and own
- Fine-tuning under a permissive license (MIT)
Common questions
Which has the bigger context window?
GLM 4.7 FP8: 202,752 tokens (198K) against an unlisted window for Vidu 2.0.
Can I fine-tune Vidu 2.0 or GLM 4.7 FP8?
GLM 4.7 FP8 publishes open weights (MIT) and can be fine-tuned on your own data. Vidu 2.0 is a closed model served over API; its weights are not available.
Related comparisons
GLM 4.7 FP8 vs GLM 4.6 Fp8Vidu 2.0 vs GLM 5.2GLM 4.7 FP8 vs GLM 5.2Vidu 2.0 vs MiniMax M3GLM 4.7 FP8 vs MiniMax M3Vidu 2.0 vs Llama 4 Scout Instruct (17Bx16E)
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.