Reported facts indicate that Cactus Whistle is a 16.9 MB speech model benchmarked against Whisper Base on a CPU. Published documentation covers evaluations across Word Error Rate, Speed, Streaming, Timestamps, Keywords, and Speech-to-Tool Calls. Analysis of these comparisons provides insight into how compact speech models perform relative to standard baselines in resource-constrained environments. No hands-on testing was performed.
Cactus Whistle vs. Whisper Base: Evaluating a 16.9 MB Speech Model on CPU
| Model Size (Cactus Whistle) | 16.9 MB |
Research sources
A Coding Guide to Cactus Whistle: Does a 16.9 MB Speech Model Hold Up Against Whisper Base? Word Error Rate, Speed, Streaming, Timestamps, Keywords, and Speech-to-Tool Calls on a CPU ↗NVIDIA Nsight Python Tutorial: How to Profile GPU Kernels ↗Recursive Releases Flint, an Open-Weight 40B MoE Local Coding Model for Agents with 2.5B Active Params ↗Vercel Open-Sources durable-harness for Crash-Proof Coding Agents ↗Mistral AI Releases Voxtral 3: Speech-to-Text, TTS and a Voice Agent SDK ↗Google Cloud Ships llm-d 1.0 With Cache-Aware Routing for TPU and GPU Fleets ↗Google Open-Sources TorchTPU, a Native PyTorch Backend for Cloud TPUs ↗DeepSeek Open-Sources DeepInfer, the Inference Framework Behind DeepSeek-V4.1-Flash ↗Exa 3.0 Search API Tops Perplexity, Brave and Parallel on 8 Benchmarks ↗Cloudflare Releases Clairic, a System One Extraction Model on Workers AI ↗NVIDIA Kumo Relational Outperforms Supervised Machine Learning on Relational Data, No Training Required ↗How Specializing the Vocabulary of SLMs Can Cut Inference Cost by 77% in Real Applications ↗Profiling TorchNeuron (Part 1): System-level profiling on AWS Trainium. ↗Granite Speech 5.0: Transcribe, Translate, and Attribute more Accurately and Faster ↗FairStress: A deeper evaluation of fairness in LLM decision-making ↗ALTK-Evolve: How learned memory tops the τ²-bench leaderboard on customer service tasks without a frontier model ↗Hugging Face ❤️ TorchTPU: TPUs, Natively ↗AnyLanguageModel 1.0: One Year of Local Models on Apple Platforms ↗