Any-to-any AI Models

Models listed

54

Published in this category

Worth weighing up

What goes in and out, licence terms, and whether you can host it yourself

How we treat data

Published specs only — we don't estimate numbers a vendor hasn't stated

Any-to-any models are a source-backed task collection in this directory. The current editorial inventory contains 47 mapped model records. Task membership is a discovery signal, not a performance ranking, deployment recommendation, or proof that every checkpoint accepts the same inputs and returns the same outputs.

Start with the model list, then open each record that matches your data, operating constraints, and intended workflow. Check the primary source, documented modalities, license, release information, and implementation notes before using a model in production.

This collection keeps unsupported pricing, availability, and benchmark claims blank. Each page remains outside the public index until an editor approves its content and related model records.

Any-to-any model list

Scan the table below, then open any model for pricing, limits and the full write-up.

54 models
google/gemma-4-E2B-it
google
55.7131.07K$0.02$0.10—
google/gemma-4-E4B-it
google
55.7131.07K$0.04$0.20—
lmstudio-community/gemma-4-E4B-it-MLX-4bit
lmstudio-community
37.532.77K$0.00$0.00—
Qwen/Qwen3-Omni-30B-A3B-Thinking
Qwen
20.0————
Qwen/Qwen2.5-Omni-7B
Qwen
41.832.77K$0.10$0.40—
Claude Sonnet 3.5 v2
Anthropic
43.4200K———
GPT-4o
OpenAI
46.8128K$2.50$10.00—
cyankiwi/gemma-4-12B-it-AWQ-INT4
cyankiwi
20.0————
cyankiwi/gemma-4-12B-it-qat-AWQ-INT4
cyankiwi
20.0————
cyankiwi/gemma-4-E4B-it-AWQ-INT4
cyankiwi
20.0————
cyankiwi/Qwen3-Omni-30B-A3B-Instruct-AWQ-8bit
cyankiwi
20.0————
google/gemma-4-12B
google
20.0————
google/gemma-4-12B-it-assistant
google
20.0————
google/gemma-4-12B-it-qat-q4_0-gguf
google
20.0————
google/gemma-4-12B-it-qat-q4_0-unquantized
google
20.0————
google/gemma-4-12B-it-qat-q4_0-unquantized-assistant
google
20.0————
google/gemma-4-12B-it-qat-w4a16-ct
google
20.0————
google/gemma-4-26B-A4B-it-assistant
google
20.0————
google/gemma-4-31B-it-assistant
google
20.0————
google/gemma-4-E2B
google
20.0————
google/gemma-4-E2B-it-qat-mobile-ct
google
20.0————
google/gemma-4-E2B-it-qat-q4_0-gguf
google
20.0————
google/gemma-4-E2B-it-qat-w4a16-ct
google
20.0————
google/gemma-4-E4B
google
20.0————
google/gemma-4-E4B-it-assistant
google
20.0————
google/gemma-4-E4B-it-qat-q4_0-gguf
google
20.0————
google/gemma-4-E4B-it-qat-w4a16-ct
google
20.0————
llmfan46/gemma-4-E4B-it-ultra-uncensored-heretic-GGUF
llmfan46
20.0————
llmfan46/gemma-4-E4B-it-uncensored-heretic
llmfan46
20.0————
lmstudio-community/gemma-4-12B-it-MLX-4bit
lmstudio-community
20.0————
lmstudio-community/gemma-4-12B-it-MLX-5bit
lmstudio-community
20.0————
lmstudio-community/gemma-4-12B-it-MLX-6bit
lmstudio-community
20.0————
lmstudio-community/gemma-4-12B-it-MLX-8bit
lmstudio-community
20.0————
lmstudio-community/gemma-4-E2B-it-MLX-4bit
lmstudio-community
20.0————
lmstudio-community/gemma-4-E2B-it-MLX-5bit
lmstudio-community
20.0————
lmstudio-community/gemma-4-E2B-it-MLX-6bit
lmstudio-community
20.0————
lmstudio-community/gemma-4-E2B-it-MLX-8bit
lmstudio-community
20.0————
lmstudio-community/gemma-4-E4B-it-MLX-5bit
lmstudio-community
20.0————
lmstudio-community/gemma-4-E4B-it-MLX-6bit
lmstudio-community
20.0————
lmstudio-community/gemma-4-E4B-it-MLX-8bit
lmstudio-community
20.0————
LongCat Next
Meituan LongCat
31.8131.07K———
Ming Flash Omni 2.0
inclusionAI
20.0————
nvidia/Nemotron-3-Nano-Omni-30B-A3B-Reasoning-BF16
NVIDIA Research
20.0————
nvidia/Nemotron-3-Nano-Omni-30B-A3B-Reasoning-FP8
NVIDIA Research
20.0————
nvidia/Nemotron-3-Nano-Omni-30B-A3B-Reasoning-NVFP4
NVIDIA Research
20.0————
openbmb/MiniCPM-o-2_6
openbmb
20.0————
openbmb/MiniCPM-o-4_5
openbmb
20.0————
Qwen/Qwen2.5-Omni-3B
Qwen
20.0————
Qwen/Qwen2.5-Omni-7B-AWQ
Qwen
20.0————
Qwen/Qwen3-Omni-30B-A3B-Instruct
Qwen
20.0————
Qwen3.8 Omni Flash Realtime
Qwen
25.0————
unsloth/gemma-4-12B-it-qat-GGUF
unsloth
20.0————
unsloth/gemma-4-E2B-it-qat-GGUF
unsloth
20.0————
unsloth/gemma-4-E4B-it-qat-GGUF
unsloth
20.0————

1–54 of 54 models · select a column to sort

About this order: Recommended shows our editorial shortlist first, followed by recent releases. The spec score is a 0–100 figure SyncDev calculates from each vendor's published specifications — context window, reasoning support, input modalities, tool calling, maximum output and how recently the model shipped. It measures breadth of capability, not benchmark performance, so a higher-scoring model is not automatically the better choice for your task.

Any-to-any model questions

It groups source-backed directory records for research and comparison. Review each model page and its primary documentation because collection membership alone does not prove quality, availability, or suitability.