Create a playable world that responds to the player
World · Choice · MediaShape setting, rules, characters, choices, scenes, images, sound, and progression as one interactive experience.
Choose the same template you will play

Define state, consequences, goals, and replayable branches.
Create characters with roles, motives, memory, and relationships.
Add generated environments, portraits, narration, music, and effects.
Shape difficulty, resources, combat, puzzles, inventory, or social systems.
AI Game Models
- Modalities
- text / image / file → text
- Capabilities
- Multimodal routing · Tools · Reasoning
- Routing
- Best fit per request
- Billing
- Selected model rate
Lets GizAI route each request to the most suitable chat model automatically.
- Modalities
- file / image / text / pdf → text
- Released
- Jul 9, 2026
- In / out price
- $0.0554 in · $0.332 out / 1M
- Context
- 1.05M
- Max output
- 128K
- Capabilities
- Tools · Reasoning · Structured output
GPT-5.6 Luna is a fast, cost-efficient model in OpenAI's GPT-5.6 series. It is suited for high-volume, latency-sensitive tasks such as chat, classification, and lightweight agentic workflows, providing capable reasoning for...
- Modalities
- text → text
- Released
- Jul 31, 2026
- In / out price
- $0.0798 in · $0.16 out / 1M
- Context
- 1M
- Max output
- 384K
- Capabilities
- Tools · Reasoning · Structured output
DeepSeek V4 Flash 0731 is a sparse mixture-of-experts model from DeepSeek, with 13B active parameters out of 284B total. This re-post-trained revision is suited for coding, reasoning, and agent workflows.
- Modalities
- text → text
- Released
- Apr 24, 2026
- In / out price
- $0.271 in · $0.542 out / 1M
- Context
- 1M
- Max output
- 384K
- Capabilities
- Tools · Reasoning · Structured output
DeepSeek V4 Pro is a large-scale Mixture-of-Experts model from DeepSeek with 1.6T total parameters and 49B activated parameters, supporting a 1M-token context window. It is designed for advanced reasoning, coding,...
- Modalities
- text / image / video / pdf → text
- Released
- May 31, 2026
- In / out price
- $0.189 in · $0.756 out / 1M
- Context
- 1.05M
- Max output
- 512K
- Capabilities
- Tools · Reasoning · Structured output
MiniMax-M3 is a multimodal foundation model from MiniMax. It supports text, image, and video inputs with text output, a 1M-token context window, and is suited for long-horizon agentic work, coding,...
- Modalities
- text / image / video / file / audio / pdf → text
- Released
- Jul 21, 2026
- Context
- 1.05M
- Max output
- 65.5K
- Capabilities
- Tools · Reasoning · Structured output
Gemini 3.5 Flash Lite is a high-efficiency model from Google with upgraded agentic capabilities. It is suited for subagents that execute focused tasks within complex, multi-agent workflows.
- Modalities
- image / text / video / pdf → text
- Released
- Apr 2, 2026
- In / out price
- $0.107 in · $0.312 out / 1M
- Context
- 262K
- Max output
- 262K
- Capabilities
- Tools · Reasoning · Structured output
Gemma 4 31B Instruct is Google DeepMind's 30.7B dense multimodal model supporting text and image input with text output. Features a 256K token context window, configurable thinking/reasoning mode, native function...
- Modalities
- text / image / file / pdf → text
- Released
- Apr 30, 2026
- In / out price
- $1.05 in · $2.1 out / 1M
- Context
- 1M
- Max output
- 1M
- Capabilities
- Tools · Reasoning · Structured output
Grok 4.3 is a reasoning model from SpaceXAI. It accepts text and image inputs with text output, and is suited for agentic workflows, instruction-following tasks, and applications requiring high factual...
Z.aiGLM 4.7 Flash- Modalities
- text → text
- Released
- Jan 19, 2026
- In / out price
- $0.063 in · $0.42 out / 1M
- Context
- 203K
- Max output
- 16.4K
- Capabilities
- Tools · Reasoning · Structured output
As a 30B-class SOTA model, GLM-4.7-Flash offers a new option that balances performance and efficiency. It is further optimized for agentic coding use cases, strengthening coding capabilities, long-horizon task planning,...
Moonshot AIKimi K2.6- Modalities
- text / image / video → text
- Released
- Apr 20, 2026
- In / out price
- $0.585 in · $2.43 out / 1M
- Context
- 262K
- Max output
- 8.19K
- Capabilities
- Tools · Reasoning · Structured output
Kimi K2.6 is Moonshot AI's next-generation multimodal model, designed for long-horizon coding, coding-driven UI/UX generation, and multi-agent orchestration. It handles complex end-to-end coding tasks across Python, Rust, and Go, and...
- Modalities
- text / image / pdf → text
- Released
- Jun 3, 2026
- In / out price
- $0.24 in · $0.96 out / 1M
- Context
- 1M
- Max output
- 131K
- Capabilities
- Tools · Reasoning · Structured output
Qwen3.7-Plus is a cost-effective model in Alibaba's Qwen3.7 series. It supports text and image input with text output, building on the series' text capabilities with a comprehensive upgrade to its...
- Modalities
- text / image / video / file / audio / pdf → text
- Released
- Jul 21, 2026
- Context
- 1.05M
- Max output
- 65.5K
- Capabilities
- Tools · Reasoning · Structured output
Gemini 3.6 Flash is a high-efficiency model from Google for coding, agentic workflows, and web and app development. It is designed to produce polished outputs with fewer unnecessary edits and...
Z.aiGLM 5.2- Modalities
- text → text
- Released
- Jun 16, 2026
- In / out price
- $0.465 in · $1.55 out / 1M
- Context
- 1.05M
- Max output
- 131K
- Capabilities
- Tools · Reasoning · Structured output
GLM 5.2 is a large-scale reasoning model from Z.ai. It supports text input and output with a 1M-token context window, and is suited for long-horizon agent workflows, project-level software engineering,...
- Modalities
- text / image / file / pdf → text
- Released
- Oct 15, 2025
- In / out price
- $0.263 in · $1.31 out / 1M
- Context
- 200K
- Max output
- 64K
- Capabilities
- Tools · Reasoning · Structured output
Claude Haiku 4.5 is Anthropic’s fastest and most efficient model, delivering near-frontier intelligence at a fraction of the cost and latency of larger Claude models. Matching Claude Sonnet 4’s performance...
- Modalities
- text / image / file / pdf → text
- Released
- May 13, 2024
- In / out price
- $2.1 in · $8.4 out / 1M
- Context
- 128K
- Max output
- 16.4K
- Capabilities
- Tools · Structured output
GPT-4o ("o" for "omni") is OpenAI's latest AI model, supporting both text and image inputs with text outputs. It maintains the intelligence level of GPT-4 Turbo while being twice as...
- Modalities
- text → text
- Released
- Aug 11, 2026
- In / out price
- $0.0525 in · $0.21 out / 1M
- Context
- 262K
- Max output
- 262K
- Capabilities
- Tools · Reasoning · Structured output
NVIDIA Nemotron 3.5 Lightning is an open mixture-of-experts model from NVIDIA, with 3B active parameters out of 30B total. It is suited for high-throughput agentic workloads and specialized tasks that...
- Modalities
- text / image / file / pdf → text
- Released
- Aug 11, 2026
- In / out price
- $1.03 in · $4.35 out / 1M
- Context
- 262K
- Max output
- 65.5K
- Capabilities
- Tools · Reasoning · Structured output
Sakana Namazu is a Japanese-specialized reasoning model from Sakana AI, based on Kimi K2.6 with additional training for Japanese language and business contexts. It is suited for Japanese instruction following,...
- Modalities
- text → text
- Released
- Aug 10, 2026
- In / out price
- $0.0332 in · $0.133 out / 1M
- Context
- 524K
- Max output
- 131K
- Capabilities
- Tools · Reasoning · Structured output
Solar Pro 4 is a large language model from Upstage. It is suited for agentic workflows, office productivity, document-intensive work, and coding.
MetaMuse Glimmer 30B- Modalities
- text / image → text
- Released
- Aug 9, 2026
- In / out price
- $0.315 in · $1.26 out / 1M
- Context
- 131K
- Max output
- 131K
- Capabilities
- Tools · Reasoning · Structured output
Muse Glimmer 30B is a dense, open-weight multimodal model from Meta Superintelligence Labs, distilled from Muse Spark and optimized for autonomous agents on consumer hardware. It is suited for long-horizon...
- Modalities
- text → text
- Released
- Aug 6, 2026
- Price
- Usage based
- Context
- 256K
- Max output
- 32K
- Capabilities
- Tools · Reasoning
Ling-3.0-tiny is an efficient 7.9B-parameter MoE model with only 1.3B active parameters per token. It is designed for responsive AI agents, reliable instruction following, and natural multi-turn conversations. The model features a 256K context window, native function calling, prompt caching, and switchable Thinking and Instant modes. It supports long-context, tool-using workflows with lower active-compute requirements.
Choose a game model by world and turn complexity
The chat model owns state, rules, choices, and narration; media models are invoked separately when image, audio, or video generation is enabled.
- Best for
- Starting quickly with automatic model routing
- Why choose it
- Lets GizAI choose an available model for the custom game brief without requiring model comparison first.
- Watch for
- Choose a fixed model when you need consistent state behavior across repeated tests.
- Best for
- Rule-heavy games, puzzles, and multi-step state
- Why choose it
- Stronger reasoning helps with constraints, consequences, tools, and long-horizon planning.
- Watch for
- More reasoning can increase latency and still does not guarantee bug-free state transitions.
- Best for
- Fast interactive fiction and frequent turns
- Why choose it
- Balances long context, reasoning, and response speed for iterative play.
- Watch for
- Compact responses may simplify secondary characters or mechanics unless the prompt prioritizes them.
Kimi K2.6- Best for
- Long campaigns, lore, and many established facts
- Why choose it
- Long-context synthesis helps preserve larger world bibles and accumulated decisions.
- Watch for
- Important canon should still be summarized explicitly instead of relying on raw history alone.
- Best for
- Structured mechanics and multilingual games
- Why choose it
- Useful for constrained outputs, rules, state tables, and cross-language play.
- Watch for
- Localized humor, genre expectations, and cultural references need fluent review.
What an AI game generator cannot guarantee
Inventory, character knowledge, location, time, resources, and prior choices may drift without a compact canonical state summary.
Generated mechanics can be unbalanced, exploitable, impossible, or inconsistently enforced. Test failure paths and boundary conditions.
Images, ambience, speech, and video use separate models and may not preserve character, scene, timing, or style continuity.
Longer turns and optional media increase latency and usage. Video remains off by default because it is slower and more expensive.
Review age suitability, generated characters, references, violence, gambling-like systems, likenesses, and third-party intellectual property.
Game examples
Browse real game examples made with GizAI.
How this page was reviewed
Written by GizAI Product Team · Reviewed by GizAI Model Operations · Updated 2026-07-16
GizAI publishes this AI game generator page about its own product. Model names, inputs, controls, access, and plan requirements come from the live GizAI catalog; examples and editorial guidance explain practical use without promising flawless output.
- Match the AI game generator default, offered models, and example inputs to active GizAI model contracts.
- Run the public form through model selection, example application, and the canonical Assistant handoff.
- Run a template and a custom game through opening state, first choice, consequence, optional media controls, and maximum-turn settings.
- Verify one canonical URL, visible FAQs, structured data, internal links, desktop layout, and mobile layout.
AI game creator FAQ
What kind of game does GizAI create?
GizAI creates turn-based conversational games with persistent story state, a clear player role, consequential choices, difficulty-controlled outcomes, and a defined ending. Choose a built-in template or describe a custom world and rules.
Do I need to code?
No. The Game mode owns the story loop, choices, turn limit, difficulty, and optional media generation. You can revise the premise and settings in natural language before starting.
Are the template cards the same as the Game template selector?
Yes. Both surfaces now read the selectableGames catalog, so choosing a card fills the exact same template value and description used by the game runtime.
How do choices work?
Each turn ends with one clear question and a structured set of player choices. Choices advance the main plot, affect later outcomes, and may succeed or fail according to the selected difficulty and established story state.
Can the game generate images and sound?
Yes. Images and non-vocal ambience are enabled by default. The game generates opening visuals and audio after presenting the playable story and choices, then can maintain visual continuity on later turns.
Why is video generation off by default?
Video is more expensive and slower than story, image, or ambience generation. It remains explicitly off until you enable it; when enabled, the game may create a short cinematic scene after the playable text and choices.
How long can a game run?
The default is 35 turns. You can set 5 to 100 turns and adjust response length from 100 to 2,000 characters. After the maximum turn count, the game produces an ending based on the accumulated choices.
How does difficulty change the game?
Difficulty changes how often risky actions fail and how restrictive positive outcomes are. The game applies those odds without exposing hidden mechanics, while still respecting prior choices and plausible consequences.
Can I make a completely custom game?
Yes. Choose Custom Game, then describe the setting, player role, core action, goal, characters, constraints, failure conditions, tone, and desired progression.