AI GAME & WORLD MODELS · THE WORLD MODEL & GAME ENGINE HANDBOOK
Game World Field Guide
A single volume covering world models and AI game creation — real-time generation, spatial intelligence, embodied simulation and smart NPCs — from Genie and Oasis to Hunyuan and Inworld, chronicling the race to “rebuild the world with AI”.
Tier ranking S / A / B / CSector valuation $15B+
WORLD ENGINESIM ACTIVE
NOW GENERATING WORLD…∞ SEED
13WORLDS
5Open-source
5Chinese optimized
10Free tier
TIER LEADERBOARD2026 RANKING
S
Google Genie 3most advanced interactive world model
World Labs Marblespatial intelligence + 3D generation benchmark
A
Decart Oasis 3fastest commercialization of real-time AI world generation
NVIDIA Cosmosphysical AI infrastructure
B
Tencent Hunyuan HY-World 2.0open-source + game ecosystem closed loop
Zhiyuan GE-Sim 2.0robot world model
Aggregated from multiple gaming media, official announcements and community reviewsPRESS START▮
Showing 13/13
World Index
WORLD INDEX13 WORLDS
SPAWN · WM·LAB · No.001
No.001World model researchReal-timeClosed
Google Genie 3 / Project Genie
Google DeepMind (USA, Mountain View)
A foundational world model developed by Google DeepMind, first opened to the public on January 29, 2026 as the 'Project Genie' experimental prototype (for Google AI Ultra subscribers). Genie 3 generates interactive virtual environments in real time at 720p resolution and 24FPS; after the March 2026 update, stable duration improved from a few seconds to about one minute. Supports text/image input to generate worlds, WorldRemixing for secondary creation, and prompt-triggered world events. At Google I/O in May 2026 it showcased deep Gemini integration and was defined as 'one of the most advanced world models'
Valuation / fundingNo standalone valuation
Version
Genie 3 (released Aug 2025, updated Mar 2026)
Architecture
Autoregressive Transformer
Valuation · funding
—
Input modes
Text description / Image / Prompt-triggered events
AI Ultra subscription$249.99/mo (includes Gemini Advanced + Project Genie access)
Interactive virtual world explorationRapid game concept validationWorld event simulation+2
SPAWN · 3D·WORLD · No.002
No.0023D world genOpen
World Labs(Marble + Spark 2.0)
World Labs (USA, San Francisco)
A spatial intelligence company founded in April 2024 by 'AI godmother' Fei-Fei Li. In February 2026 it closed $1 billion in funding (Autodesk led with $200M, NVIDIA/AMD/a16z participating), at a $5 billion valuation — a 5× jump in under two years. Core product Marble: generate persistent, editable 3D worlds from a single image or text, emphasizing spatial structure and geometric consistency. On April 15, 2026 it open-sourced the Spark 2.0 rendering engine — any phone/browser can smoothly render 3D scenes with over 100 million Gaussian points. Partnering with Autodesk to bring world models into 3D creation workflows (Unreal/Unity/Blender)
Valuation / funding◆ $5 billion (Feb 2026)
Version
Marble (spatial intelligence world model)
Architecture
Spatial-native / 3D-guided
Valuation · funding
$5 billion (Feb 2026)
Input modes
Single image / Text description / Concept art / Photo
Multimodal input3D consistencyGeometric consistencyEditable 3D outputSpark 2.0 renderer3D Gaussian splatting+5
BillingOpen · free
Rapid 3D scene generationGame scene asset productionArchitecture/engineering visualization+3
SPAWN · WM·LAB · No.003
No.003World model researchOpen
AMI Labs (JEPA world model)
AMI Labs (France, Paris)
An advanced machine intelligence lab founded in Paris in January 2026 by Turing Award winner Yann LeCun. In March it closed a $1.03 billion seed round (NVIDIA/Samsung/Bezos Expeditions/Temasek/Cathay Innovation participating) at a $3.5 billion pre-money valuation, setting the record for the largest seed round in European AI startup history. CEO is former Meta FAIR engineering lead Alexandre LeBrun; chief scientist is Xie Saining (who twice turned down OpenAI). Core route JEPA (Joint Embedding Predictive Architecture): rather than generating pixels, it predicts world states in an abstract representation space — LeCun calls it 'the only way to AGI'. Pursuing an open-source route while maintaining collaboration with Meta
Valuation / funding◆ $3.5 billion (pre-money)
Version
—
Architecture
JEPA (Joint Embedding Predictive Architecture)
Valuation · funding
$3.5 billion (pre-money)
Input modes
—
Open-source plannedMeta partnershipMulti-domain applicationsTop-tier capital
BillingOpen · free
Causal modeling of the physical worldRobot planning & decision-makingAutonomous driving simulation+2
SPAWN · RT·GEN · No.004
No.004Real-time world genReal-timeClosed
Decart Oasis 3
Decart AI (Israel, Tel Aviv)
A real-time AI world generation model from Israeli AI startup Decart (founded by IDF 8200 Unit veterans). In November 2024 Oasis 1.0 launched — the world's first interactive game (Minecraft-like) generated frame-by-frame in real time by AI with no game engine. In May 2026 it closed $300M (cumulative over $450M) at a valuation near $4 billion (NVIDIA/Adobe/Toyota/eBay/Karpathy participating). On June 10, 2026 it released Oasis 3 — real-time generation of realistic driving environments, priced at $0.02/second, with an open API. The CEO's goal: to build 'the first world model developers can program on top of'
Valuation / funding◆ Near $4 billion (May 2026)
Version
Oasis 3 (June 10, 2026)
Architecture
Autoregressive Transformer (ViT spatial autoencoder + DiT latent diffusion backbone)
Valuation · funding
Near $4 billion (May 2026)
Input modes
—
Real-time generationPlayer-input drivenDriving simulationMinecraft modMulti-target marketsTop-tier capital
API$0.02/sec (Oasis 3 driving environment)
◈ Free tier: Web Demo free trial
AI-native games (no engine)Autonomous driving simulation environmentsRobot training scenarios+2
SPAWN · 3D·WORLD · No.005
No.0053D world genOpen
Tencent Hunyuan 3D World Model 2.0 (HY-World 2.0)
Tencent (Shenzhen, China)
A multimodal world model released and open-sourced by Tencent on April 16, 2026. It can automatically generate, reconstruct and simulate 3D worlds from text/image/video input, directly exporting 3D asset files editable for secondary creation (Mesh/3DGS/point cloud). The technical architecture is 3D-centric, building a complete closed loop from sparse input to an interactive 3D world via modules like HY-Pano 2.0/WorldNav/HY-WorldStereo/HY-WorldMirror 2.0. It imports seamlessly into Unreal/Unity game engines. On the same day Alibaba released Happy Oyster in a 'head-to-head'. Tencent Games has already achieved AI NPC closed loops in products such as Game for Peace
Valuation / fundingNo standalone valuation
Version
HY-World 2.0 (April 16, 2026)
Architecture
Multimodal 3D world model (HY-Pano 2.0 + WorldNav + HY-WorldStereo + HY-WorldMirror 2.0)
Valuation · funding
—
Input modes
Text / Image / Video
Multimodal input3D asset exportEditable outputEngine importInteractive 3D worldPanorama generation+6
BillingOpen · free
One-click game 3D scene generationIntelligent game NPCsRapid 3D asset production+3
SPAWN · ROBO · No.006
No.006Embodied AIOpen
Ant LingBo LingBot-World
Ant Group LingBo Technology (Hangzhou, China)
A world model open-sourced on January 29, 2026 by Ant Group's LingBot Technology. The core LingBot-World-Base relies on a scalable data engine, learning physics and causal relationships from large-scale game environments to achieve high-fidelity, interactive simulated world generation. It leads in video quality, dynamic performance, long-temporal consistency and interactivity. Through multi-stage training and parallel inference optimization, it provides a 'digital playground' for embodied intelligence, autonomous driving and game development
Embodied intelligence training environmentsAutonomous driving simulationGame physics simulation+2
SPAWN · ROBO · No.007
No.007Embodied AIClosed
AGIBOT GE-Sim 2.0 (Genie Envisioner)
AGIBOT (Shanghai, China)
An iterated world model released on April 10, 2026 by AGIBOT (智元机器人). Core breakthroughs: minute-level long-temporal reasoning + multi-view 3D consistency + a built-in General Reward Model, for the first time embedding a reinforcement-learning closed loop inside the model world, achieving 'RL in WM'. It builds an interactive, trainable, evaluable 'physical evolution engine', supporting robots in completing large-scale closed-loop training within simulated environments
Valuation / fundingNo standalone valuation
Version
GE-Sim 2.0 (April 10, 2026)
Architecture
—
Valuation · funding
—
Input modes
—
Multi-domain applicationsMinute-level reasoningMulti-view 3D consistencyGeneral reward modelIn-model reinforcement learningSelf-evaluation+6
BillingEnterprise custom
Humanoid robot closed-loop trainingEmbodied intelligence policy learningPhysical world simulation+2
SPAWN · RT·GEN · No.008
No.008Real-time world genOpen
NVIDIA Cosmos / Gen-3C
NVIDIA (USA, Santa Clara)
NVIDIA's world foundation model platform for physical AI, highlighted at GDC 2026. Cosmos provides pre-trained World Foundation Models on which developers can fine-tune domain-specific simulation environments (autonomous driving/robotics/industrial). Gen-3C belongs to the 'spatial-native / 3D-guided' school, alongside World Labs Marble as a representative of that route. NVIDIA also provides digital twin and robot simulation infrastructure through Omniverse/Isaac Sim; companies like Decart and AGIBOT are ecosystem partners
World foundation modelsDomain fine-tuningDigital twinRobot simulationAutonomous driving simIndustrial simulation+4
BillingOpen · free
Autonomous driving simulationRobot digital twinsIndustrial simulation+3
SPAWN · NPC · No.009
No.009Smart NPCClosed
Inworld AI
Inworld AI (USA, Mountain View)
An AI game character engine company founded by former Google employees, with cumulative funding over $120M (Microsoft/Disney/Meta/Intel/Samsung/Lightspeed participating) at a $500M valuation. Core product: rapidly generate 'souled' NPCs with memory/background/emotion/EQ/body language via natural-language description. In late 2023 it signed a partnership with Microsoft Xbox (character engine + Copilot assistant), and collaborates with giants like NetEase/Disney. By 2026 AI NPCs have become a standard direction in the game industry, with domestic solutions such as Tencent Hunyuan's role-playing model rising in parallel
Valuation / fundingNo standalone valuation
Version
—
Architecture
—
Valuation · funding
$120M+
Input modes
—
Game engine integrationNPC generationNatural-language NPC designNPC memoryNPC emotionNPC personality+8
Indie developer$99/mo
◈ Free tier: Free tier (limited calls)
Intelligent game NPCsDynamic plot generationVirtual character dialogue+3
A one-stop AI game creation platform developed by Hangzhou Jiyi Artificial Intelligence Technology, built on a self-developed game-industry-specialized large model, enabling natural-language-driven full-pipeline development (planning → art → code → audio → deployment). Core capabilities: upload a video to generate a playable game, one-click generation of game characters with full skeletal animation, and a built-in professional game numerical engine SOON-FX. The second beta launched on March 31, 2026, winning the '2026 AI Business Case Excellence Award' and 'China AI New Force TOP30'. Positioned for the 'everyone-creates era', letting individual developers make commercializable, high-quality games
Valuation / fundingNo standalone valuation
Version
SOON game-industry-specialized model
Architecture
—
Valuation · funding
—
Input modes
—
Natural-language game makingVideo-to-gameFull pipelineCharacter generationSkeletal animationMultimodal assets+4
BillingFree beta + subscription
◈ Free tier: Free trial during beta
Individual developers making gamesRapid casual game prototypingGame art asset generation+3
SPAWN · GAME·GEN · No.011
No.011AI game creationClosed
Rosebud AI
Rosebud AI (USA)
A browser-based zero-code/low-code AI game creation platform that rapidly generates 2D/3D game prototypes from natural-language descriptions for instant online play. Supports visual asset generation, game logic code generation and real-time iteration. Ideal for game jams, education and rapid prototyping. Visuals lean minimalist; it does not support project file export, and complex AI / networking / multi-platform sync capabilities are limited. In 2026 it was rated a representative of the second tier of AI game creation tools
Rapid game jam prototypingGame design education2D casual games+2
SPAWN · WM·LAB · No.012
No.012World model researchClosed
General Intuition
General Intuition (Netherlands)
The most incredible funding story in the 2026 AI gaming track: 31-year-old Dutch founder Pim de Witte raised $320M at a $2.3 billion valuation (Khosla Ventures/Jeff Bezos/Eric Schmidt/DeepMind researchers participating). Core method: train AI on game recordings from titles like Fortnite to learn physical reasoning, spatial intuition and causal understanding — not training 'an AI that plays games', but using game data to train 'an AI that understands the world'. Goal: transfer the physical intuition learned in games to robotics, autonomous driving and industrial control
Valuation / funding◆ $2.3 billion
Version
—
Architecture
—
Valuation · funding
$2.3 billion
Input modes
—
Physics reasoningSpatial intuitionCausal understandingGame-data trainingTransfer to roboticsTransfer to driving+2
BillingTBD
Physical intuition AI trainingRobot transfer learningAutonomous driving scene understanding+2
SPAWN · WM·LAB · No.013
No.013World model researchClosed
Alibaba HappyOyster 1.0
Alibaba
Alibaba's open interactive world model released June 17, 2026; registration is open at happyoyster.cn. Unlike text-to-video's one-way text→video mapping, it learns state-transition rules (current state/action → next state/action), reasoning through action-to-feedback causal chains while keeping long-range consistency. Two core modes: Adventure (generate a deeply explorable digital world from one sentence or one image, with forward/dash/crouch/jump/attack controls, vehicle driving and weapon combat, and up to 1 minute of continuous real-time movement) and Directing (a god view with pause, rewind and branching narrative, rendering 3+ minutes of real-time 480p/720p footage). Joint work with Nanjing University on a world-model benchmark; API to open soon
Valuation / fundingNo standalone valuation
Version
HappyOyster 1.0 (June 17, 2026)
Architecture
—
Valuation · funding
—
Input modes
One sentence / One image / Prompt
Multimodal inputPhysics reasoning
BillingFree trial + API (planned)
◈ Free tier: Free sign-up; daily login credits
Rapid interactive game prototypingInteractive drama / virtual companionshipImmersive cultural tourism+2