Type a name, or just describe what you need. Results blend keyword and meaning-based search. 16 matches, each with an EU availability status.
Model · Anthropic
Anthropic's small, fast Claude model for low-latency, cost-sensitive text and coding workloads, with image input.
Model · Microsoft
Microsoft AI's low-latency text-to-speech model in the MAI model family, designed for long-form expressive speech.
API · fal
Fine-tuned, low-latency variant of MiniMax H3 video model served through fal's paid API.
Model · Black Forest Labs
9B-parameter open-weights image generation and editing model from Black Forest Labs, built for low-latency use.
Model
Open-source append-only streaming speech recognition model with configurable low-latency decoding, English and Mandarin.
Model · Google
Google's low-latency, bidirectional voice and audio streaming models, accessed through the Gemini Live API.
Hardware · Google
Google's eighth-generation Cloud TPU for post-training and low-latency inference of large MoE models.
Research model for real-time, talking video agents with a single streaming Transformer; 640×368 output at ~200 ms latency.
Model · OpenAI
OpenAI's GPT-5.6 Sol frontier model, with an Ultrafast API tier on Cerebras reaching up to 750 output tokens per second.
API · OpenAI
OpenAI API that returns bounded decisions such as probabilities, choices from a set, or scores instead of free text.
Microsoft's small decision-scoring model returning calibrated probabilities for routing, classification and rubric grading.
Model · Google DeepMind
Google DeepMind's lightweight, low-cost Gemini 3.5 model aimed at fast, high-volume tasks.
OpenAI high-speed inference tier that serves model output far faster than standard, reportedly around 14x.
OpenAI API service tier running GPT-5.6 Sol up to 14x faster than Standard, at up to 750 tokens/sec on Cerebras hardware.
Hardware · Cerebras
Wafer-scale AI chips (CS-series) and a cloud inference API serving open models at high token speeds.
Hardware · Groq
Inference provider built on its custom LPU chips, offering fast LLM inference via cloud API (GroqCloud) and dedicated capacity.
