Kimi VL
moonshot/kimi-vlCompact vision-language model for screenshot and document understanding at low cost.
Model overview
Context window
128K
tokens
Input price
—
quoted on request
Output price
—
quoted on request
Weekly volume
—
tokens / week
Open weights
No
API only
Capabilities
2
of 11 tags
Description
Kimi VL is a vision model from Moonshot AI. Webparam does not stock this model yet and can source it on request — tell us what you need it for and we will come back with availability and a price. Moonshot AI’s stated focus is long-context agentic intelligence (Kimi). The weights are not published, so it is API-only.
Capabilities
- Vision input
- Accepts images alongside text in the prompt.
- Streaming
- Emits tokens as they are generated, so answers appear progressively rather than all at once.
Strengths & weaknesses
Strengths
- Cheapest capable vision input in the catalogue
- Long context for a VL model
- Fast
Weaknesses
- No tool calling
- Fine detail extraction trails Qwen VL Max
Pricing
| Rate | Price | Unit |
|---|---|---|
| Input | — quoted on request | — |
| Output | — quoted on request | — |
This model is not provisioned yet; the rate is quoted on request.
Context window
128Ktokens
covers prompt and response together, so a long input leaves less room for the answer.
Supported features
| Feature | Support |
|---|---|
| Tool calling | Not supported |
| JSON mode | Not supported |
| Streaming | Supported |
| Vision input | Supported |
| Audio input | Not supported |
| Long context | Not supported |
| Open weights | Not supported |
| Reasoning | Not supported |
| Fine-tunable | Not supported |
| Batch | Not supported |
| Caching | Not supported |
Example use cases
UI screenshot analysis
Document triage
Image captioning at scale
Comparison
Compare against anything →| Attribute | Kimi VL | Qwen VL Max | GLM-4V |
|---|---|---|---|
| Context window | 128K | 128K | 64K |
| Input price | R0.00 | R0.00 | R0.00 |
| Output price | — not charged | — not charged | — not charged |
| Tool calling | Not supported | Supported | Not supported |
| JSON mode | Not supported | Not supported | Not supported |
| Vision input | Supported | Supported | Supported |
| Open weights | Not supported | Not supported | Not supported |
| Prompt caching | Not supported | Not supported | Not supported |
Best value in each row is highlighted. Blank cells are facts the supplier does not publish, not zeroes.
Provider information
View Moonshot AI →Moonshot AI · 月之暗面 · Beijing, China · est. 2023
Moonshot's Kimi line made long context its signature, and its K2 generation paired that with serious agentic tool use, released with open weights. The lab moves fast and publishes aggressively, making Kimi one of the most-watched model families in the ecosystem.
Recent releases
Documentation
Frequently asked questions
Input is billed at R0.00 per 1M tokens, and there is no separate output charge. Every figure on this page is an illustrative placeholder.
No. Kimi VL is served through its provider's API only; the weights are not published, so self-hosting is not an option.
Prompt and response share one window: Kimi VL accepts up to 128K tokens in total, so a long input leaves less room for the answer. The median across vision models is 128K. Recall is strongest well inside the limit. Test at your real prompt depth before relying on the ceiling.
Qwen VL Max is the closest neighbour in the catalogue, with 128K of context at R0.00 per 1M tokens in. Put both in a comparison before wiring a fallback chain, so the trade-off is a decision rather than a default.