Kimi K2.7 Code vs Vidu 2.0
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.
LabMoonshot AIVidu
AccessOpen weightsNot served on Allocate
Context window256K tokensn/a
List price, input$0.95 / M tokensNot served
List price, output$4 / M tokensNot served
Cached input$0.19 / M tokensn/a
LicenseNot listedProprietary API
Fine-tunableYesNo
Specifications and provider list prices from the Allocate catalog, checked 2026-09-12.
Choose Kimi K2.7 Code for
- Open weights you can fine-tune and own
- Published cached-input pricing ($0.19 per M tokens)
Common questions
Which has the bigger context window?
Kimi K2.7 Code: 262,144 tokens (256K) against an unlisted window for Vidu 2.0.
Can I fine-tune Kimi K2.7 Code or Vidu 2.0?
Kimi K2.7 Code publishes open weights (Not listed) 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
Kimi K2.7 Code vs GLM 4.7 FP8Vidu 2.0 vs GLM 4.7 FP8Kimi K2.7 Code vs Deepseek V3.1 NVFP4Vidu 2.0 vs Deepseek V3.1 NVFP4Kimi K2.7 Code vs Meta Llama 3.3 70B Instruct TurboVidu 2.0 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.