anomalyco / anomalyco/models.dev
Vultr model update
Nobody has claimed this yet.
- Dominant language
- TypeScript
- Stars
- 6.9k
- Forks
- 1.7k
- Avg merge
- 3h 21m
- Merged PRs (30d)
- 873
Description
Vultr model isn't being updated to the latest version, here is the version from vultr
Vultr Serverless Inference is billed based on input and output tokens used. All prices shown are the cost per 1mm tokens.
List of supported chat completion models:
MiniMax-M2.7 ($0.30 input, $1.20 output)
Qwen3.5-397B-A17B-FP8 ($0.30 input, $1.20 output)
DeepSeek-V4-Pro ($0.55 input, $1.65 output)
Kimi-K2.6 ($0.15 input, $0.60 output)
DeepSeek-V3.2-NVFP4 ($0.55 input, $1.65 output)
Llama-3.1-Nemotron-Safety-Guard-8B-v3 ($0.01 input, $0.01 output)
Nemotron-3-Nano-Omni-30B-A3B-Reasoning-BF16 ($0.13 input, $0.38 output)
Nemotron-Cascade-2-30B-A3B ($0.15 input, $0.60 output)
GLM-5.1-FP8 ($0.85 input, $3.10 output)
Contributor guide
No contributing guide indexed for this repository
First steps
- Read the whole issue, then the project's contributing guide.
- Comment on the issue to say you are picking it up — it saves two people doing the same work.
- Fork the repository and make your change on a branch.
- Open a pull request that references the issue number.
Research direction
Search the repository for the Vultr provider or existing Vultr model definitions, then compare them with the model list in the issue. Update the supported model data and verify the repository's relevant validation or test commands pass.
Written by the indexing model from the issue text.
Assessment
- Tech stack
- typescript
- Domain
- ai, data
- Issue type
- Bug
- Difficulty
- 2/5
- Estimated time
- 1-3 hours
- Activity status
- Quiet
- Clarity
- Mostly clear
- Newbie friendliness
- 68/100