The SyncDev models directory

AI Models Directory

Find the right model for the work you need to do. Explore 3,077 profiles, from hosted language models to image, audio and video generators and downloadable checkpoints.

Latest hosted models to explore

Current releases for coding, reasoning and high-volume work. Choose by task, then compare the full cost.

Open-weight models to explore

Downloadable models to consider for local or managed deployment.

Browse by task

Choose what you need the model to do. A model can appear in more than one task.

63 tasks

Explore all models

Start with our shortlist, search a model family, or filter by task and deployment. Prices apply to the listed route; a dash means a figure is not recorded.

GPT-6.1 Sol
OpenAI
75.91.05MFrom $2.00From $10.00—
Claude Opus 5.5
Anthropic
75.61M$4.00$20.00—
Claude Fable 5.1
Anthropic
75.51M$10.00$50.00—
Claude Haiku 5.5
Anthropic
—1MFrom $0.10From $0.50—
Claude Sonnet 5.5
Anthropic
75.61M$2.00$10.00—
GPT-6 Astra
OpenAI
75.71.05MFrom $10.00From $50.00—
GPT-6 Luna
OpenAI
75.81.05M$0.10$0.50—
Grok 4.7
xAI
58.3500K$2.00$6.00—
Gemini 3.8 Flash
Google
89.31.05M$0.75$3.75—
GLM 5.3
Z.ai / Zhipu AI
15.01M———
Kimi K3
Moonshot AI
80.81.05M$3.00$15.00—
DeepSeek V4.1 Flash
DeepSeek
24.81.05MFrom $0.15From $0.60—
Mistral Large 4
Mistral AI
66.61MFrom $0.68From $2.09—
Qwen3.8 2.4T A95B
Qwen
35.2262.14K———
Qwen3.8 Flash Next
Qwen
45.2262.14K———
GPT-6 Sol
OpenAI
75.81.05M$2.00$10.00—
Qwen3.8 Max
Alibaba
75.71M$2.00$6.00—
Muse Spark 1.3
Meta
—1.05MFrom $1.25From $4.25—
GLM 5.3 Flash
Z.ai / Zhipu AI
61.91M———
Qwen3.8 27B
Qwen
45.2262.14K———
Llama 4 Maverick 17B Instruct
Meta
48.51M$0.27$0.85—
Gemini 4 Argon
Google
—1.05MFrom $2.00From $10.00—
Muse Wonder
Meta
—1.05MFrom $4.00From $20.00—
Muse Wonder Full
Meta
—1.05M———
Qwen-Image-2.1-Turbo
Alibaba
—————
Phocinae Largha 150M v1
phocinae
—8.19K———
Drex 2.0
Nace AI
—8.19KFrom $0.06From $0.00—
Gemini Nano Banana 2.1
Google
62.9131.07K———
Qwen-Image-2.1-Pro
Alibaba
—————
Grok Imagine Video 1.5 Lite
xAI
10.0————
MAI-Transcribe-2-Streaming
Microsoft
—————
MAI-Voice-2.1
Microsoft
—————
MAI-Voice-2.1-Flash
Microsoft
—————
Ling 3.1 Flash
inclusionAI
51.3262.14K———
Liquid d1
Liquid AI
10.0————
Drex 1.5
Nace AI
—131.07KFrom $0.05From $0.00—
MiniMax M3.1 Flash Preview
MiniMax
61.71M———
LongCat-2.5-Preview
Meituan
—1M———
Qwen 3.8 Max Prime
Alibaba
—1M———
Gemini 3.8 Flash TTS
Google
17.98.19K———
Gemini 3.8 Flash-Lite TTS
Google
17.98.19K———
MiMo V2.6 Flash RL
Xiaomi
66.91.05MFrom $0.14From $0.28—
MiMo V2.6 Pro RL
Xiaomi
66.91.05MFrom $0.435From $0.87—
MiMo-V2.6-Distill-Qwen-9B
Xiaomi
—————
Viv Fast
Vivgrid
—1M$0.13$0.40—
Qwen-Audio-3.1-Realtime-Plus
Alibaba
—262.14K———
Grok Voice Transcribe 2.0
xAI
—————
Pareto
Unbiased AI
—262.14K———
Qwen3.8 LiveTranslate Flash Realtime
Alibaba
—————
Qwen3.8 Omni Flash
Qwen
51.71M———
Arrow 2
QuiverAI
—131.07K———
Arrow 2 Telos
QuiverAI
—1.05M———
Step 5 Preview
StepFun
74.21M$1.00$2.70—
Gemini 3.8 Live
Google
74.3131.07K———
Jev
TypeSafe
—64KFrom $0.042From $0.00—
Qwen Image 2.1
Qwen
10.0————
Schematron V2 Small
inference-net
—128K———
Schematron V2 Turbo
inference-net
—128K———
Fugu Max
Sakana AI
—1M———
Fugu Ultra v2
Sakana AI
—1M———

1–60 of 3077 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.

How to choose an AI model

Define the task

Choose the output first: an answer, an embedding, an image, a transcript or a video. Check the input formats your workflow needs. Reading audio and generating speech are different capabilities.

Compare the whole cost

For language models, include input, generated output, reasoning and retries. For media, check the billing unit, resolution and duration. Open weights need a runtime and hardware even when the download is free.

Test useful results

Give each candidate the same real examples and acceptance criteria. Measure accuracy, reliability and the time to a usable result. A larger context window or a broader specification sheet alone cannot tell you which model will work best.

AI model directory questions

Start with the output your application needs, then check supported inputs, deployment options and licence terms. Shortlist models that meet those constraints and evaluate the same representative tasks. Compare accepted results, total cost and response time, including reasoning and retries.