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Explore AI Models Directory

All categories and models you can try out and seamlessly integrate in your projects

openai/whisper-large-v3-turboStar Featured

Whisper Large-Turbo

automatic-speech-recognition

A weakly supervised pre-trained version of the Whisper model, optimized for high-speed Automatic Speech Recognition (ASR) and speech translation. By significantly reducing the number of decoder layers to 4 while maintaining the robust large-v3 encoder architecture, this 'Turbo' variant offers an 8.8x speedup compared to large-v3 with minimal degradation in Word Error Rate (WER). It is specifically designed as a high-efficiency alternative for low-latency production environments.

Memory 2 GBSetting 809 M$0.00066/MINUTE
Qwen/Qwen3-32B-FP8Star Featured

Qwen3 32B

TEXT

A high-performance, dense Transformer model from the Qwen3 series featuring 32.8 billion parameters. Optimized with fine-grained FP8 quantization, it reduces VRAM requirements for weights to ~32.8GB while supporting a native 128K context window. Featuring an integrated 'Thinking Mode' for deep reasoning, it serves as an ideal balance between complex logic and fast inference for high-concurrency enterprise applications.

Memory 10GBSetting 32BINPUT $0.240/1M TOKENS; OUTPUT$1.800/1M TOKENS
Qwen3.5-122B-A10B-FP8

Qwen3.5 122B

TEXT

The flagship Mixture-of-Experts (MoE) model from the Qwen3.5 series, featuring 122B total and 10B active parameters. This unified vision-language foundation excels in multimodal reasoning, complex coding, and native 'thinking mode' tasks. Utilizing fine-grained FP8 quantization, it offers exceptional throughput and reduced VRAM footprint on H100/L40S GPUs, while supporting a massive 262K context window for long-horizon agentic applications.

Memory 122GBSetting 122BINPUT $0.400/1M TOKENS ;OUTPUT $3.200/1M TOKENS
Lightricks/LTX-2.3Star Featured

LTX-2.3

VIDEO

A state-of-the-art Diffusion Transformer (DiT) foundation model with 22 billion parameters. Unlike traditional video models, LTX-2 is natively designed for synchronized audio-video generation within a single unified latent space. It excels at maintaining temporal consistency and high-fidelity motion, making it a powerful backend for creative AI pipelines that require seamless audiovisual coherence.

Memory 22GBSetting 22B$0.110/SECOND
Qwen3.5-27B-FP8Star Featured

Qwen3.5 27B

TEXT

A high-intelligence sparse Mixture-of-Experts (MoE) model optimized for advanced reasoning, complex instruction following, and precise tool use. With 27B parameters and fine-grained FP8 quantization, it features a 262K native context window and native 'thinking mode' support, delivering elite-level logic and linguistic performance with exceptional inference efficiency.

Memory 16GSetting 27BINPUT $0.300/1M TOKENS;OUTPUT $2.400/1M TOKENS
boson-audio-multimodal-checkpoint-1200

Higgs Audio V2.5

AUDIO

Higgs Audio V2.5 is a 1B parameter autoregressive audio transformer distilled from the 3B V2 model, featuring the DualFFN architecture for efficient acoustic token modeling. It uses a unified audio tokenizer running at 25 FPS with 12 codebooks at 2000 bps, outputting 24kHz audio. Trained on 1M+ hours of audio data (AudioWeb dataset) with GRPO alignment for human-like naturalness.

Memory Setting 1B$0.045/MINUTE
openai/whisper-large-v3

Whisper Large V3

automatic-speech-recognition

The Whisper large-v3 is a pre-trained model for Automatic Speech Recognition (ASR) and speech translation. It features a robust Transformer encoder-decoder architecture designed for state-of-the-art accuracy across a wide range of languages and audio conditions.

Memory 2GBSetting 809M$0.0015/MINUTE
flux1-schnell

FLUX Schnell

IMAGE

A fast text-to-image model optimized for rapid image generation. FLUX.1 [schnell] delivers high-quality visual results with low latency, making it ideal for real-time creative workflows, quick prototyping, and interactive image generation.

Memory 25GBSetting 19B$0.003/IMAGE
flux2-klein-4bStar Featured

FLUX Klein

IMAGE

The FLUX.2 [klein] model family are our fastest image models to date. FLUX.2 [klein] unifies generation and editing in a single compact architecture, delivering state-of-the-art quality with end-to-end inference in as low as under a second.

Memory 13GBSetting 4B$0.003/IMAGE

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