CogVLM2 19B
cogvlm2-19bTsinghua CogVLM2 19B with Llama-3 8B base plus 11B vision expert. Strong document understanding and visual reasoning, 8k context.
- Price
- ≈ US$0.0114/run
- Context
- 8,192 tokens
- Max. output
- 2,048 tokens
- Input → output
- Text + Image → Text
- Developer
- Community
- Updated
- 23 September 2026
Playground
Try CogVLM2 19B
No input form
No input form for this model yet
Its inputs are not documented yet. So that no run fails on a wrong input, we don't offer a form here. Pick a comparable model instead.
Examples
InputPrompt
Describe this image.
Response
The image captures a well-lit, modern library or bookstore with a distinct industrial aesthetic. The main focus is a large, wooden bookshelf filled with an assortment of books, creating a warm and inviting atmosphere. The bookshelf is positioned against a rustic brick wall, which adds a touch of vintage charm to the space. The room is illuminated by hanging light bulbs, which dangle from the ceiling in a casual manner. There are also decorative elements such as a potted plant, a small framed sign, and a table with various items on it, enhancing the cozy ambiance. A person is seated at a desk in the foreground, suggesting the space is functional for reading or studying.
About CogVLM2 19B
CogVLM2 19B is a model by Community in the Multimodal category. On Railwail, CogVLM2 19B costs ≈ US$0.0114 per run. The context window holds 8,192 tokens, and one response can be up to 2,048 tokens long.
Pricing
| Typical run (≈ 10 s on L40S) | US$0.0114 per run |
|---|---|
| GPU time (L40S) | US$0.00117 per GPU second |
- Billed by the GPU time the run actually takes. When the run starts, 3× the typical price is reserved from your balance and settled afterwards.
- 1 credit = US$0.01
Cost calculator
Price calculator
Typical according to the provider: about 9.7 s
Total
US$1.14
114 credits
Per run
US$0.0114 · 1.14 credits
Billed by the actual GPU time; this is an estimate.
API
No verified API example
The public API passes a different input format than this model needs. Use the playground above.
Specifications
- Model ID
cogvlm2-19b- Developer
- Community
- Category
- Multimodal
- Input
- Text, Image
- Output
- Text
- Context window
- 8,192 tokens
- Max. output
- 2,048 tokens
- Billing
- By usage (tokens or GPU time)
- Catalog entry updated
- 23 September 2026
Tags
- replicate
- multimodal
- vision-understanding
- tsinghua
- open-weights
Frequently asked questions
What is CogVLM2 19B?
CogVLM2 19B is a model by Community in the Multimodal category.
How much does CogVLM2 19B cost on Railwail?
On Railwail, CogVLM2 19B costs ≈ US$0.0114 per run. You are charged for what each request actually uses. Usage is paid from prepaid credits; 1 credit equals US$0.01.
What is the context window of CogVLM2 19B?
The context window of CogVLM2 19B holds 8,192 tokens. One response can be up to 2,048 tokens long.
How fast is CogVLM2 19B?
There are not enough measured runs of CogVLM2 19B on Railwail yet to state a run time. It depends on the input, the settings and the load at the provider.
Is CogVLM2 19B better than BLIP?
That depends on the task. CogVLM2 19B (Community) and BLIP (Salesforce) are both models in the Multimodal category. The comparison page shows their prices and specifications side by side.
Compare CogVLM2 19B and BLIPCan CogVLM2 19B process images?
Yes. CogVLM2 19B accepts images as input in addition to text.
Comparable models
All in this category- BLIPSalesforce
Salesforce BLIP. Vision-language model for image captioning and visual question answering. Given an image it writes a short natural-language caption, or answers a question about the image when one is supplied. A widely used baseline for automatic captioning.
- CLIP InterrogatorCommunity
pharmapsychotic's CLIP Interrogator. Takes an image and produces a Stable-Diffusion-style text prompt by combining BLIP captioning with CLIP to rank likely subjects, artists, mediums and styles. Commonly used to reverse-engineer a prompt from an existing picture.
- Depth Anything v2Community
Monocular depth-estimation model trained on 595k labeled and 62M unlabeled images. Strong zero-shot generalization in indoor and outdoor scenes.
All models through one API
One API key for every model on Railwail. Usage is charged from prepaid credits, 1 credit = US$0.01.