Jev

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AI modelsCloud
Commercial

What you can do

  • Jev is TypeSafe AI's hosted System One model for making typed decisions inside software. Give it text or structured text state and ask narrow questions of three kinds: a Choice picks one option from a set you define, a Score rates the input against levels you describe, and a Noul is a yes-or-no question. Each answer comes with probabilities your code can use for routing, classification and scoring. It does not generate prose or code and cannot replace a chat or coding-agent LLM. The documented Jev 1.13 version is available through TypeSafe's API in early access. Start with a decision in your own workflow and keep the final action in your application code.

Before choosing

  • Jev is a decision model, not a generative LLM: no chat, prose generation, code writing, images, audio or video input. The publisher documents 64k tokens per request and a 32k limit for state plus the longest question for jev-1.13.0. Confidence describes the distribution and does not guarantee an individual answer is correct; the publisher documents failures on counting, date arithmetic, indirection and adversarial text. Requires TypeSafe cloud access and an API key; prices and rate limits may change. No local weights or hands-on performance evaluation were established.

Ornith-1.5-35B-A3B

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AI modelsSelf-hosted
Free

What you can do

  • Ornith-1.5-35B-A3B is an open-weight reasoning model for coding, repository work and agents that call tools. Its Qwen3.5-family mixture-of-experts architecture contains about 35 billion parameters but activates roughly 3 billion per token. Ornith describes training that jointly improves task generation, agent scaffolds and solutions through reinforcement learning. The published context window is 262,144 tokens. It is a candidate for developers who want to run a coding assistant on their own infrastructure: the official card documents vLLM and SGLang servers with OpenAI-compatible APIs, plus GGUF use through Ollama or llama.cpp. Start with a small repository task and check the result against your tests before expanding its role.

Before choosing

  • About 3B active parameters describes computation per token, not the memory needed to load the model. The publisher estimates roughly 70 GB for BF16 weights; its 256K serving example uses two 80 GB GPUs. Quantization reduces weight memory, while long contexts need additional memory.
OpenBMB publisher logo for MiniCPM5-2B

MiniCPM5-2B

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AI modelsSelf-hosted · Desktop
FreeOpen source

What you can do

  • A compact OpenBMB text model with downloadable weights, tool calling and several local runtime formats.

Before choosing

  • Apache-2.0 covers OpenBMB code and weights; runtime/data rights are separate. Compute costs remain; long context is not a measured memory or accuracy guarantee.

XTTS-v2

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AI modelsSelf-hosted
Free

What you can do

  • Synthesize speech in multiple languages from text using a voice reference.

Before choosing

  • The Coqui Public Model License restricts commercial use of generated audio.

Whisper (open source)

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AI modelsSelf-hosted
Free

What you can do

  • Transcribe lectures, interviews, and recordings with an openly released speech model.

Before choosing

  • You install and operate command-line software rather than a polished transcription app.

Wan 2.2

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AI modelsSelf-hosted
Free

What you can do

  • Generate short video clips from text or animate an existing image.

Before choosing

  • Comfortable local use requires a GPU with substantial VRAM.

Google Veo

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AI modelsCloud
Commercial

What you can do

  • Generate video scenes from text prompts using Google's cloud model.

Before choosing

  • Availability and output limits vary by product surface and may change.

Sora 2 (discontinued)

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AI modelsCloud
Commercial

What you can do

  • Discontinued. OpenAI closed the Sora web and app experiences on 26 April 2026 and the Sora API on 24 September 2026. Export any content you still need; use Veo, Runway or Kling for new video work.

Before choosing

  • Discontinued: don't start new work on Sora. Export existing content at sora.chatgpt.com/sunset before OpenAI deletes it.

SadTalker

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AI modelsSelf-hosted
Free

What you can do

  • Animate a still image into a talking head from an audio clip.

Before choosing

  • Self-hosting requires setup and a capable GPU for usable speed.

Qwen3.6 (35B-A3B)

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AI modelsSelf-hosted
Free

What you can do

  • Run an open mixture-of-experts model with coding and multilingual capabilities.

Before choosing

  • Its model size still requires substantial memory for local inference.

Phi-4-mini

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AI modelsSelf-hosted
Free

What you can do

  • Run a compact local model for summaries, drafts, classification, and simple code.

Before choosing

  • Its small size limits performance on difficult reasoning and niche knowledge tasks.

OpenAI TTS

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AI modelsCloud
BYOK

What you can do

  • Turn written content into spoken narration with OpenAI TTS models.

Before choosing

  • The available voices may not suit projects needing cloning or especially realistic delivery.

OpenAI Realtime API

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AI modelsCloud
Commercial

What you can do

  • Stream microphone audio and receive spoken responses in one API.

Before choosing

  • Long conversations incur usage charges, so estimate audio duration before implementation.

Nano Banana Pro (Gemini 3 Pro Image)

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AI modelsCloud
Commercial

What you can do

  • Generate images with text, data labels, and multimodal instructions.

Before choosing

  • Access and product naming are changing during Google's Imagen migration; verify the current endpoint.

Moshi (Kyutai)

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AI modelsSelf-hosted
Free

What you can do

  • Build speech-native conversations that listen and speak simultaneously.

Before choosing

  • Real-time operation requires a capable GPU and research-oriented deployment work.

Ministral 3

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AI modelsSelf-hosted
Free

What you can do

  • Run small open-weight models on laptops or edge hardware.

Before choosing

  • Small models suit scoped tasks; test harder reasoning tasks before relying on them.

Mistral Medium 3.5

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AI modelsCloud
Commercial

What you can do

  • Process text and images with a large-context multimodal model.

Before choosing

  • Verify the provider, region, contract, and licence for your chosen deployment path.

MiniMax-M2

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AI modelsSelf-hosted
Commercial

What you can do

  • Use a model focused on coding and agentic tool chains.

Before choosing

  • Check the exact model version and licence before self-hosting or commercial use.

LTX-Video

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AI modelsSelf-hosted
Free

What you can do

  • Generate video from text or images through ComfyUI workflows.

Before choosing

  • Release-specific hardware, resolutions, clip lengths, licences, and nodes require verification.

Llama 4 Scout

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AI modelsSelf-hosted
Free

What you can do

  • Run a multimodal model for broad tasks with a large context window.

Before choosing

  • Quantized local use still requires substantial hardware, and the licence has deployment conditions.

LatentSync

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AI modelsSelf-hosted
FreeOpen source

What you can do

  • Align supplied audio with mouth motion in existing face video.

Before choosing

  • You must supply permitted footage and voices, then verify releases and hardware requirements.
hexgrad publisher avatar for Kokoro

Kokoro 82M (open source)

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AI modelsSelf-hosted
Free

What you can do

  • Generate speech locally with a lightweight Apache-2.0 model.

Before choosing

  • Voice-cloning alternatives may have non-commercial licenses; check each model's terms first.

Kling

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AI modelsCloud
Commercial

What you can do

  • Generate high-resolution video with controlled motion.

Before choosing

  • Capabilities, access, limits, and terms can change for this proprietary cloud service.

HunyuanVideo

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AI modelsSelf-hosted
Free

What you can do

  • Generate short text-to-video clips with an open model.

Before choosing

  • Running it requires at least 60GB of VRAM, usually across substantial hardware.