Title: Kimi VL A3B Instruct %E2%80%94 kimi-vl-a3b-instruct
Canonical: https://llmeu.com/en/models/kimi-vl-a3b-instruct/
Markdown mirror: https://llmeu.com/en/models/kimi-vl-a3b-instruct.md
Machine-readable: https://llmeu.com/llms.txt (index) - https://llmeu.com/llms-full.txt (full catalogue) - https://llmeu.com/llms-catalogue.json
Provider: Moonshot AI
Licence: mit
Hosting: catalogue only %E2%80%94 not hosted on LLM EU yet
Sources: https://huggingface.co/moonshotai/Kimi-VL-A3B-Instruct https://huggingface.co/api/models/moonshotai/Kimi-VL-A3B-Instruct?blobs=true https://opensource.org/license/mit

# Kimi VL A3B Instruct

[Moonshot AI](/en/providers/moonshotai/)

Last reviewed: 14 Oct 2026

## Sovereignty and hosting

This model is catalogued for reference. It is not hosted on LLM EU yet, and no first-party endpoint serves it here. Requests to it go to the provider directly, under that provider's own terms.

## Summary

The checkpoint is instruction-tuned and ships a chat template. Kimi VL A3B Instruct is a large open-weight vision-language model from Moonshot AI: 16.4B parameters under MIT. It accepts text and images and answers in text. The published configuration records no context window, so this card carries none. The repository was created in April 2025 and is mirrored on Hugging Face. The card is catalogue-only: LLM EU does not run this model. The publisher states no language coverage on the model page.

## Specifications

- Provider
  Moonshot AI (CN)
- Context window
  Not verified: the provider has not documented this claim.
- Parameters
  16.4B
- Modalities
  text, vision
- License
  mit %C2%B7 [licence](https://opensource.org/license/mit)
- Open weights
  yes
- Release date
  09 Apr 2025
- Tasks
  [Vision](/en/tasks/vision/), [Low cost](/en/tasks/cheap/)

## Languages

**Strong:** %E2%80%94

**Adequate:** %E2%80%94

#### Strong

#### Adequate

Not verified: the provider has not documented this claim. %E2%80%94 a language is listed as strong only where a source claims it; the card links the evidence where one exists.

## When to use it

#### Strengths

- open weights are published on Hugging Face and can be downloaded without a vendor agreement
- mit licence, so commercial self-hosting is permitted without a separate agreement
- instruction-tuned checkpoint with a chat template in the repository

#### Limits

- catalogue only %E2%80%94 LLM EU does not run this model, and nothing on this card implies an LLM EU endpoint
- no evaluation has been run by LLM EU
- the published configuration records no context window, so the card carries none
- at 16.4B parameters, self-hosting needs a single accelerator with enough memory for the weights
- vision checkpoints are heavier to serve than their parameter count alone suggests, because the image encoder and pre-processing run alongside the language model

### Pricing

This model is catalogued for reference. It is not hosted on LLM EU yet, and no first-party endpoint serves it here. Requests to it go to the provider directly, under that provider's own terms.

### Verification status

Where a field has no source, the card shows it as unverified instead of filling it in. An empty field is information.

LLM EU Verified means documented, not legally certified. It is not an AI Act conformity assessment and LLM EU is not an EU body.

### Versions and variants

- catalogue %C2%B7 Catalogue only %C2%B7 [weights](https://huggingface.co/moonshotai/Kimi-VL-A3B-Instruct)

### Example request

```
curl https://api.llmeu.com/v1/chat/completions \
  -H "Authorization: Bearer $LLMEU_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{"model":"kimi-vl-a3b-instruct","messages":[{"role":"user","content":"Hello"}]}'
```

No playground is deployed for this model: no endpoint serves it, so a request would have nowhere to go.

### Benchmarks

No published evaluation. This is a gap, not a hidden result.

### Sources

- [huggingface.co](https://huggingface.co/moonshotai/Kimi-VL-A3B-Instruct)
- [huggingface.co](https://huggingface.co/api/models/moonshotai/Kimi-VL-A3B-Instruct?blobs=true)
- [opensource.org](https://opensource.org/license/mit)

### Card changelog

- 09 Apr 2025 %E2%80%94 Release date
- 14 Oct 2026 %E2%80%94 Last reviewed

Last reviewed: 14 Oct 2026