KI‑Modell‑Intelligenz

Kling-V2 6

qiniu-ai/kling-v2-6

Von qiniu-ai · veröffentlicht 2026-01-13

Unbekannt
Eingabe / 1 Mio. Tokens
Unbekannt
Ausgabe / 1 Mio. Tokens
Unknown
Kontextfenster
Unknown
Max. Ausgabe

Prices in USD per 1M tokens. Unknown means the provider does not publish per-token pricing.

Fähigkeiten

Tool CallingReasoningStrukturierte AusgabeAnhängeOffene GewichteTemperatur-Steuerung
Modalitäten: Eingabe text, image, video · Ausgabe video

Model fit scores

0–100 · higher is better

These scores reward declared capabilities, context size, price and provider availability — they are not benchmark results. Use them as a directional signal alongside your own evaluation.

Coding21
  • Tool calling0/40
  • Structured output0/20
  • Reasoning0/10
  • Context window (100K → 1M)20/20
  • Provider availability1/10
Agents16
  • Tool calling0/35
  • Structured output0/25
  • Reasoning0/15
  • Output token limit15/15
  • Provider availability1/10
JSON / structured output10
  • Structured output / JSON mode0/50
  • Tool calling0/20
  • Temperature control10/10
  • Price-friendly for high-volume0/20
Cost efficiency0
  • Has published price0/100
Long context90
  • Context window (100K → 2M)90/90
  • Has published price for full window0/10
Vision81
  • Accepts image input50/50
  • Context window (10K → 1M)30/30
  • Has published price0/10
  • Provider availability1/10
Production-readiness45
  • Number of independent providers5/40
  • Has published per-token price0/20
  • Context window ≥ 8K15/15
  • No data inconsistencies across providers10/10
  • Official model (not derivative)15/15

Cost Efficiency Index

Open full calculator →

Estimated cost using the recommended provider's headline rate. Each scenario fixes average input/output tokens — the assumptions are shown in the third column.

This model has no published per-token price, so we can't compute a cost estimate. See the provider's official pricing page for current rates.

Bei 1 Anbietern verfügbar

AnbieterAnbieter-Modell-IDEingabe / 1MAusgabe / 1MKontextVeröffentlicht
Qiniu
qiniu-ai
kling-v2-6UnknownUnknownUnknown2026-01-13

Frequently asked questions

How much does Kling-V2 6 cost?

Kling-V2 6 does not have a publicly published per-token price in our data source. This usually means it is gated behind enterprise sales or invite access. Check qiniu-ai's official pricing page for the most current rates.

What is the context window of Kling-V2 6?

Kling-V2 6 has a context window of Unknown tokens, with a max output of Unknown tokens per reply. This is the total combined size of prompt + completion.

Does Kling-V2 6 support tool calling?

No. Kling-V2 6 does not support tool calling (function calling). If your workflow requires it, look at the /capabilities/tool-calling list for alternatives.

Does Kling-V2 6 support structured output / JSON mode?

No. Kling-V2 6 does not support structured output / JSON-schema-constrained decoding. If your workflow requires it, look at the /capabilities/structured-output list for alternatives.

Can Kling-V2 6 accept image input?

Yes. Kling-V2 6 accepts both text and image input. Vision pricing per image is usually billed on top of the regular token rate — check qiniu-ai's docs for the exact rule.

Is Kling-V2 6 open-weight?

No. Kling-V2 6 is a proprietary model — only qiniu-ai (and any approved hosting partners) can serve it. The pricing above reflects the cheapest API access.

What are the best alternatives to Kling-V2 6?

If Kling-V2 6 doesn't fit, consider Mimo-V2-Flash. Each one targets the same use case — see the Related links below for direct head-to-head pages.

Where does this data come from?

All numbers come from the public models.dev API and are normalised into a single canonical model record. We re-pull daily and write any changes (price, context, capability) to the /changelog page.

Zuletzt aktualisiert:

Data is sourced from models.dev and normalized for comparison. Prices and capabilities may change. Always verify critical production decisions with the provider's official documentation.