Source: https://seerepo.com/compare/Lightricks/LTX-2/vs/vllm-project/vllm
Markdown source: https://seerepo.com/compare/Lightricks/LTX-2/vs/vllm-project/vllm.md
Description: LTX-2 and vllm share 11 technologies: OpenAI, NVIDIA, sentencepiece, torch, triton, safetensors, torchaudio, torchvision, torchcodec, pillow, and Pydantic. Both are written in Python.

# LTX-2 vs vllm

LTX-2 and vllm share 11 technologies: OpenAI, NVIDIA, sentencepiece, torch, triton, safetensors, torchaudio, torchvision, torchcodec, pillow, and Pydantic. Both are written in Python.

- [Lightricks/LTX-2](https://seerepo.com/r/Lightricks/LTX-2): Official Python inference and LoRA trainer package for the LTX-2 audio–video generative model.
- [vllm-project/vllm](https://seerepo.com/r/vllm-project/vllm): A high-throughput and memory-efficient inference and serving engine for LLMs

## What they share and what sets them apart

- In common: OpenAI, NVIDIA, sentencepiece, torch, triton, safetensors, torchaudio, torchvision, torchcodec, pillow, Pydantic
- Only in LTX-2: Google, Rich, accelerate, bitsandbytes, optimum-quanto, peft, imageio, av, imageio-ffmpeg, pillow-heif
- Only in vllm: FastAPI, axum, gitdb, pyzmq, Hugging Face, Tokio, starlette, Ray, AIOHTTP, tower, mkdocs-material, indicatif, AMD, apache-tvm-ffi, auto-round-lib, conch-triton-kernels, cuda-bindings, cuda-python, cupy-cuda12x, cupy-cuda13x, flashinfer-python, humming-kernels, lm-format-enforcer, mooncake-transfer-engine, mooncake-transfer-engine-rocm, nvidia-cudnn-frontend, openai-harmony, oss-harmony, quack-kernels, vllm-bench, vllm-chat, vllm-engine-core-client, vllm-llm, vllm-managed-engine, vllm-parser, vllm-proto, vllm-server, vllm-text, vllm-tokenizer, transformers, xgrammar-structural-tag, einops, llm-multimodal, compressed-tensors, mistral-common, xgrammar, partial-json-parser, lmcache, timm, vllm-xpu-kernels, runai-model-streamer, tokenizers, tokenspeed-mla, llguidance, MCP, outlines-core, tpu-inference, fastokens, fastsafetensors, hf-hub, instanttensor, nixl, riptoken, tekken, tensorizer, tiktoken, tiktoken-rs, markdown, markupsafe, mkdocs-material-extensions, parquet, properdocs, pymdown-extensions, selectolax, xlsxwriter, image, jinja2, minijinja, minijinja-contrib, annotated-types, msgspec, validator, opentelemetry-semantic-conventions-ai, python-json-logger, vllm-metrics, vllm-tracing, tracing, prometheus-client, psutil, tracing-subscriber, tracing-futures, model-hosting-container-standards, OpenTelemetry, prometheus-fastapi-instrumentator, tracing-log

## Side by side

| | LTX-2 | vllm |
|---|---|---|
| Size | 81,590 lines written, 364 code files | 2,489,750 lines written, 3,450 code files |
| Who writes it | 0% of its commits signed by AI | 14% of its commits signed by AI. With Claude Code, Codex, Gemini CLI, Cursor, GitHub Copilot, Devin, Mistral Vibe, CodeRabbit, Factory, and Qwen Code |
| Activity | Last push November 12, 2026, 36 commits, 10,227 stars | Last push November 12, 2026, 25,200 commits, 96,790 stars |
| Tests | 0 test files | 2,521 test files. 61.1% of its code files have a test that imports them |

- Size: Lines written by people and agents, without generated ones; code files, without tests.
- Who writes it: A commit counts as AI's when it carries its signature: a Co-Authored-By line, its author name or the merge of its branch.
- Activity: From GitHub and its history, on the day SeeRepo read it.
- Tests: The files that test the code, and the share of code files a test imports.

## Frequently asked questions

### Which is bigger, LTX-2 or vllm?

vllm, with 2,489,750 lines written; LTX-2 has 81,590.

The proof: [vllm-project/vllm's code at commit c6573ee](https://github.com/vllm-project/vllm/tree/c6573eed5e56fd39b01d610db04616ed9b221851)

### Which has more GitHub stars, LTX-2 or vllm?

vllm, with 96,790 stars; LTX-2 has 10,227.

The proof: [vllm-project/vllm on GitHub](https://github.com/vllm-project/vllm)

### Which has more tests, LTX-2 or vllm?

vllm, with 2,521 test files.

The proof: [vllm-project/vllm's code at commit c6573ee](https://github.com/vllm-project/vllm/tree/c6573eed5e56fd39b01d610db04616ed9b221851)

### Which was updated more recently, LTX-2 or vllm?

Both got their last push on November 12, 2026.

The proof: [Lightricks/LTX-2's commits on GitHub](https://github.com/Lightricks/LTX-2/commits)

### Which has more commits signed by AI, LTX-2 or vllm?

vllm: an AI signed 14% of its commits, with Claude Code, Codex, Gemini CLI, Cursor, GitHub Copilot, Devin, Mistral Vibe, CodeRabbit, Factory, and Qwen Code.

The proof: [the commits each tool signed in vllm-project/vllm](https://seerepo.com/r/vllm-project/vllm/ai)

## Sources

- Lightricks/LTX-2: Read on November 13, 2026, at commit f0f2f86 (https://github.com/Lightricks/LTX-2/tree/f0f2f8607189c78a72420b2b63cb1975b5eca179)
- vllm-project/vllm: Read on November 12, 2026, at commit c6573ee (https://github.com/vllm-project/vllm/tree/c6573eed5e56fd39b01d610db04616ed9b221851)

## What is your repo built with?

Any public repo, with no account: https://seerepo.com/r/owner/repo/built, with the owner and name it has on GitHub.