fal-aiListed Mar 14
LTX-2.3 22B Distilled
Generate video with audio from videos using LTX-2.3 Distilled
No reported score
No reported score
Price not listed
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fal-aiListed Mar 14
LTX-2.3 22B Distilled
Generate video with audio from audio, text and images using LTX-2 Distilled
No reported score
No reported score
Price not listed
fal-aiListed Mar 14
LTX-2.3 22B Distilled
Generate video with audio from images using LTX-2.3 Distilled
No reported score
No reported score
Price not listed
fal-aiListed Mar 14
LTX-2.3 22B Distilled
Generate video with audio from text using LTX-2.3 Distilled
No reported score
No reported score
Price not listed
No reported score
Price not listed
No reported score
Price not listed
fal-aiListed Mar 14
LTX-2.3 22B
Generate video with audio from audio, text and images using LTX-2
No reported score
No reported score
Price not listed
No reported score
Price not listed
No reported score
Price not listed
fal-aiListed Mar 13
Inworld TTS-1.5 Max
Text to Speech Endpoint for Inworld's TTS-1.5 Max.
No reported score
No reported score
fal-aiListed Mar 12
Flashhead
SoulX-FlashHead is a unified 1.3B-parameter framework designed for high-fidelity, infinite-length, and real-time streaming portrait video generation.
No reported score
No reported score
fal-aiListed Mar 12
Flashtalk
Audio-driven talking avatar generation powered by the SoulX-FlashTalk 14B model.
No reported score
No reported score
fal-aiListed Mar 12
Tada
A unified speech-language model that synchronizes speech and text into a single, cohesive stream via 1:1 alignment.
No reported score
No reported score
fal-aiListed Mar 12
Tada TTS 1B
A unified speech-language model that synchronizes speech and text into a single, cohesive stream via 1:1 alignment. Lighter 1B variant
No reported score
No reported score
nvidiaListed Mar 12
llama-nemotron-rerank-vl-1b-v2
The llama-nemotron-rerank-vl-1b-v2 is a 1.7B parameter multimodal reranking model designed to evaluate and order the relevance of document images and text against specific user queries. It excels at…
10.2K context1BNo reported score
No reported score
Price not listed
googleListed Mar 11
Google: Gemma 4 26B A4B
Gemma 4 26B A4B IT is an instruction-tuned Mixture-of-Experts (MoE) model from Google DeepMind. Despite 25.2B total parameters, only 3.8B activate per token during inference — delivering near-31B quality at...
262.1K context26BImage inputVideo inputNo reported score
No reported score
googleListed Mar 11
Google: Gemma 4 31B
Gemma 4 31B Instruct is Google DeepMind's 30.7B dense multimodal model supporting text and image input with text output. Features a 256K token context window, configurable thinking/reasoning mode, native…
262.1K context31BImage inputVideo input
$0.10in$0.34out/ 1M tokens · USDCoreWeave · via OpenRouter · 20 endpointscoreweave/fp4 · quantization=fp4
No reported score
Price not listed
No reported score
No reported score
nvidiaListed Mar 11
NVIDIA: Nemotron 3 Super
NVIDIA Nemotron 3 Super is a 120B-parameter open hybrid MoE model, activating just 12B parameters for maximum compute efficiency and accuracy in complex multi-agent applications. Built on a hybrid…
262.1K context120BTool callingStructured outputNo reported score
No reported score
$0.08in$0.45out/ 1M tokens · USDDekaLLM · via OpenRouter · 4 endpointsdekallm/fp8 · quantization=fp8
nvidiaListed Mar 11
NVIDIA: Nemotron 3 Super (free)
NVIDIA Nemotron 3 Super is a 120B-parameter open hybrid MoE model, activating just 12B parameters for maximum compute efficiency and accuracy in complex multi-agent applications. Built on a hybrid…
262.1K context120BTool callingStructured outputNo reported score
No reported score
nvidiaListed Mar 11
llama-nemotron-embed-vl-1b-v2
The llama-nemotron-embed-vl-1b-v2 is a high-performance multimodal embedding model designed to transform text queries and document images into dense vector representations for advanced retrieval systems. It…
10.2K context1BNo reported score
No reported score
Price not listed
nvidiaListed Mar 10
NVIDIA-Nemotron-3-Super-120B-A12B
NVIDIA Nemotron 3 Super is a hybrid Mixture-of-Experts (MoE) model engineered for highest compute efficiency and accuracy in multi-agent applications and specialized agentic systems. It is optimized to run…
262.1K context120BNo reported score
No reported score