AI NEWS.ccAI is happening. The future is updating.
♡ Saved tools 0
AI NEWS · Model intelligenceExplore capabilities. Make informed choices. ↗Profiles indexed first · Details continuously enriched
THE AI MODEL DIRECTORY Start exploring models here

Find your ideal AI model.

From language to images, open weights to APIs. Understand capabilities and compare real costs.
Find the right engine for your next idea.

Popular searches
84,991 model profiles13202 providers / publishers45 capability categories465 with comparable prices · 30 benchmarked
TText generation▧Image generation▷Video generation⌘Code generation◖Speech synthesis♫Music generation⬡3D modeling▤Document analysis
DISCOVER & COMPARE

Explore AI models 4

Discover models worth your attention

Lumma-fev-0.1b

FrontiersMind

Lumma-Fev-0.1B is a **decision model**. It reads one document (the *state*) and a set of typed questions, and returns a probability distribution for each question in a single forward pass. It never generates text, so there is nothing to parse and nothing to hallucinate. 🔥 **See our smallest Lumma-fev 150 million model turn decisions into actions** - playing **Super Mario autonomously and in real time** on a **MacBook Air M2**. ⚡ ⚡ Despite its compact size, Lumma-fev can **observe the game state, reason about the situation, and choose the next action** — all running **locally on consumer hardware**. 💻

Text analysis
Input Text→ Output Text
Price not verifiedCheck multimodal and channel pricing separately
View details ↗
Source / docs ↗

Lumma-fev-0.6b

FrontiersMind

Lumma-Fev-0.6B is a **decision model**. It reads one document (the *state*) and a set of typed questions, and returns a probability distribution for each question in a single forward pass. It never generates text, so there is nothing to parse and nothing to hallucinate. `state` can be text, a JSON object or an array. Pin a version with `revision=" "`, and move the model to a GPU with `model.to("cuda")` (bf16 is the stored precision). `lumma-fev-serve` exposes the TypeSafe `POST /v1/systemone` contract, so existing TypeSafe clients work by changing their base URL.

Text analysis
Input Text→ Output Text
Price not verifiedCheck multimodal and channel pricing separately
View details ↗
Source / docs ↗

Lumma-fev-4b

FrontiersMind

Lumma-Fev-4B is a decision model developed by FrontiersMind. It reads one document (the state) and a set of typed questions, and returns a probability distribution for each question in a single forward pass. It never generates text, so there is nothing to parse and nothing to hallucinate. `state` can be text, a JSON object or an array. Pin a version with `revision=" "`, and move the model to a GPU with `model.to("cuda")` (bf16 is the stored precision). `lumma-fev-serve` exposes the TypeSafe `POST /v1/systemone` contract, so existing TypeSafe clients work by changing their base URL.

Text analysis
Input Text→ Output Text
Price not verifiedCheck multimodal and channel pricing separately
View details ↗
Source / docs ↗
COST EXPLORER

Great models. Clear costs.

Cost analysis

Adjust monthly token usage to compare estimated API costs.

1 M = 1 million tokens · USD
Compares base text-token rates within the same channel

Uses collected, comparable USD-per-million-token rates. Snapshots exclude cache discounts, tiers, extra reasoning output and taxes. Check current source prices.

MODEL HANDBOOK

Understand before you choose

Selection guide & FAQ
How should API prices be compared?+

Separate input, output and cache rates, then estimate the same workload. Image, audio and video rates may use items, duration or resolution rather than tokens.

Do open weights mean free commercial use?+

Not necessarily. Check each version’s license, commercial restrictions and policies. Self-hosting also incurs compute and maintenance costs.

Is the top-ranked model the best for me?+

Rankings depend on tasks, versions and methods. Compare accuracy, latency, reliability and costs on your own workload.

AI NEWS · From information to decisions

Follow trends. Find tools. Explore models.

Explore AI news ↗Discover AI tools ↗