Kling-V2 6
qiniu-ai/kling-v2-6提供： qiniu-ai · リリース 2026-01-13
Prices in USD per 1M tokens. Unknown means the provider does not publish per-token pricing.
機能一覧
Model fit scores
0–100 · higher is betterThese 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.
1 か所で利用可能
| プロバイダー | プロバイダーモデルID | 入力 / 1M | 出力 / 1M | コンテキスト | リリース日 |
|---|---|---|---|---|---|
| Qiniu qiniu-ai | kling-v2-6 | Unknown | Unknown | Unknown | 2026-01-13 |
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.
Explore more
More qiniu-ai models
- Mimo-V2-Flash$0.10 in / $0.30 out
Capability lists this model is in
最終更新：
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.