---
title: "LLaMA-Omni vs whisper"
type: "comparison"
canonical_url: "https://www.graphcanon.com/compare/ictnlp-llama-omni-vs-openai-whisper"
tools: ["ictnlp-llama-omni", "openai-whisper"]
---

# LLaMA-Omni vs whisper

Neutral, constraint-first comparison with live GitHub stats.

| | [LLaMA-Omni](/tools/ictnlp-llama-omni.md) | [whisper](/tools/openai-whisper.md) |
| --- | --- | --- |
| Tagline | LLaMA-Omni is a speech interaction model built upon Llama-3.1-8B-Instruct, allowing for seamless low-latency speech-to-speech and speech-to-text interactions. | Robust Speech Recognition via Large-Scale Weak Supervision |
| Stars | 3,141 | 104,461 |
| Forks | 223 | 12,725 |
| Open issues | 52 | 134 |
| Language | Python | Python |
| License | Apache-2.0 | MIT |
| Categories | Speech & Audio | Speech & Audio |

**Typed relationship:** LLaMA-Omni _(related)_ whisper

---

**Machine-readable endpoints**

- JSON: [`/api/graphcanon/graph?tool=ictnlp-llama-omni`](/api/graphcanon/graph?tool=ictnlp-llama-omni)
- LLM index: [/llms.txt](/llms.txt)
- Full corpus: [/llms-full.txt](/llms-full.txt)

_GraphCanon - The knowledge graph for AI development. https://www.graphcanon.com/_