AI Story Generator

GizAI story

Build a story that can grow beyond the first page

Write · Illustrate · Narrate

Develop plot, characters, scenes, images, voice, and motion as one continuing creative workflow.

GPT-5.6 SolGrok 4.6KREA 2 TurboMiniMax H3 TurboLTX-2.5 DistilledACE-Step 1.5

Pricing AI model lineup

Story examples

Stories designed as connected worlds

Portrait reference used in the original modern Snow White story example

Prompt used

A modern-day Snow White story set in Seoul, where a young artist rebuilds her career after her stepmother sabotages her portfolio.

Modern Snow White portraitCharacter reference

Structured storytelling

Develop premise, character goals, scenes, pacing, and revision together.

Character continuity

Keep visual and narrative character facts available across scenes.

Illustration and motion

Generate scene images, narration, music, and video when the story needs them.

Interactive choices

Turn a linear draft into a branching experience or game.

AI Story Models

GizAIAuto

textAuto routing

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.

OpenAIGPT-5.6 Luna

textFree 5/1 dayafter $0.00345 in · $0.0207 out / 1M

Modalities: file / image / text / pdf → text
Released: Jul 9, 2026
In / out price: $0.00345 in · $0.0207 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...

xAIGrok 4.6

textFree 2/2 hrafter $0.0588 in · $0.176 out / 1M

Modalities: text / image / file → text
Released: Aug 12, 2026
In / out price: $0.0588 in · $0.176 out / 1M
Context: 500K
Max output: 450K
Capabilities: Tools · Reasoning · Structured output

Grok 4.6 is SpaceXAI's smartest model with frontier performance on coding, knowledge work, and STEM.

DeepSeekDeepSeek V4 Flash 0731

textFree 6/1 hrafter $0.0332 in · $0.111 out / 1M

Modalities: text / image → text
Released: Jul 31, 2026
In / out price: $0.0332 in · $0.111 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....

DeepSeekDeepSeek V4 Pro

textFree 6/1 hrafter $0.102 in · $0.205 out / 1M

Modalities: text / image / file → text
Released: Apr 24, 2026
In / out price: $0.102 in · $0.205 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,...

OpenAIGPT-5.4 Nano

textFree 20/1 dayafter $0.168 in · $1.05 out / 1M

Modalities: file / image / text / pdf → text
Released: Mar 17, 2026
In / out price: $0.168 in · $1.05 out / 1M
Context: 400K
Max output: 128K
Capabilities: Tools · Reasoning · Structured output

GPT-5.4 nano is the most lightweight and cost-efficient variant of the GPT-5.4 family, optimized for speed-critical and high-volume tasks. It supports text and image inputs and is designed for low-latency...

GoogleGemini 3.5 Flash-Lite

textFree 2/1 dayafter $0.158 in · $1.31 out / 1M

Modalities: text / image / video / file / audio / pdf → text
Released: Jul 21, 2026
In / out price: $0.158 in · $1.31 out / 1M
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.

GoogleGemma 4 31B

textFree 2/1 hrafter $0.107 in · $0.312 out / 1M

Modalities: image / text / video / pdf → text
Released: Apr 2, 2026
In / out price: $0.107 in · $0.312 out / 1M
Context: 262K
Max output: 16.4K
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...

Z.aiGLM 4.7 Flash

textFree 1/1 hrafter $0.063 in · $0.42 out / 1M

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,...

MiniMaxMiniMax M3

textFree 1/1 hrafter $0.189 in · $0.756 out / 1M

Modalities: text / image / video / pdf / file → 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,...

Moonshot AIKimi K2.6

textFree 1/1 hrafter $0.585 in · $2.43 out / 1M

Modalities: text / image / video / file → 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...

AlibabaQwen3.7 Plus

textFree 1/2 hrafter $0.24 in · $0.96 out / 1M

Modalities: text / image / pdf / file → 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...

OpenAIGPT-5.6 Terra

textUpgrade required

Modalities: file / image / text / pdf → text
Released: Jul 9, 2026
In / out price: $0.025 in · $0.15 out / 1M
Context: 1.05M
Max output: 128K
Capabilities: Tools · Reasoning · Structured output

GPT-5.6 Terra is a balanced model in OpenAI's GPT-5.6 series, positioned between the flagship Sol tier and the cost-efficient Luna tier. It is suited for everyday coding, reasoning, and agentic...

OpenAIGPT-5.6 Sol

textUpgrade required

Modalities: file / image / text / pdf → text
Released: Jul 9, 2026
In / out price: $0.0682 in · $0.341 out / 1M
Context: 1.05M
Max output: 128K
Capabilities: Tools · Reasoning · Structured output

GPT-5.6 Sol is the flagship model in OpenAI's GPT-5.6 series. It is suited for complex reasoning, coding, and agentic workflows, and is particularly strong at command-line and multi-step coding tasks...

AnthropicClaude Sonnet 5

textUpgrade required

Modalities: text / image / file / pdf → text
Released: Jun 30, 2026
In / out price: $0.0235 in · $0.118 out / 1M
Context: 1M
Max output: 128K
Capabilities: Tools · Reasoning · Structured output

Sonnet 5 is Anthropic's most capable Sonnet-class model, with frontier performance across coding, agents, and professional work. It supports adaptive thinking with selectable reasoning effort levels (low, medium, high, max,...

AnthropicClaude Opus 5

textUpgrade required

Modalities: text / image / file / pdf → text
Released: Jul 24, 2026
In / out price: $0.0588 in · $0.294 out / 1M
Context: 1M
Max output: 128K
Capabilities: Tools · Reasoning · Structured output

Claude Opus 5 is Anthropic’s flagship model for demanding reasoning, coding, and long-horizon agentic work. It is particularly strong at end-to-end software tasks, code review and bug finding, visual analysis...

GoogleGemini 3.7 Flash

textUpgrade required

Modalities: text / image / video / file / audio / pdf → text
Released: Aug 13, 2026
In / out price: $0.0588 in · $0.294 out / 1M
Context: 1.05M
Max output: 65.5K
Capabilities: Tools · Reasoning · Structured output

Gemini 3.7 Flash is a multimodal model from Google for fast agentic workflows, coding, and complex multi-step reasoning. It is designed for tasks that require responsive performance and reliable multi-step...

Z.aiGLM 5.2

textUpgrade required

Modalities: text / image / file → text
Released: Jun 16, 2026
In / out price: $0.0823 in · $0.259 out / 1M
Context: 1.05M
Max output: 262K
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,...

InclusionAILing 3.0 Flash Fin

text$0 in · $0 out / 1M

Modalities: text → text
Released: Aug 27, 2026
In / out price: $0 in · $0 out / 1M
Context: 256K
Max output: 32K
Capabilities: Tools · Reasoning

Ling 3.0 Flash Fin is InclusionAI’s finance-enhanced MoE language model, combining 124 billion total parameters with approximately 5.1 billion active parameters for efficient financial reasoning. Its 256K context window, function calling, and support for complex, multi-step investment workflows make it ideal for financial research, analysis, long-horizon planning, and execution, while retaining strong capabilities in coding and mathematics.

InclusionAILing 3.0 Flash Fin (Free)

text$0 in · $0 out / 1M

Modalities: text → text
Released: Aug 27, 2026
In / out price: $0 in · $0 out / 1M
Context: 256K
Max output: 32K
Capabilities: Tools · Reasoning

Model selection guide

Choose a story model by narrative workload

Short ideation, long manuscripts, visual references, multilingual prose, and tool-driven media production place different demands on the chat model.

Auto

Best for: Starting a story without comparing models
Why choose it: Routes the request to a suitable available model while preserving the same media workflow.
Watch for: Select a fixed model when consistent behavior across a long project matters.

DeepSeek V4 Flash 0731

Best for: Fast outlining, scene iteration, and structured revision
Why choose it: Useful for repeated planning, continuity checks, and compact creative feedback.
Watch for: Fast generation can default to familiar patterns; provide specific constraints and revise intentionally.

Kimi K2.6

Best for: Long manuscripts, story bibles, and continuity synthesis
Why choose it: A long-context model is useful when many chapters, characters, and facts must remain available.
Watch for: Large context does not guarantee equal attention to every fact; keep a concise canonical story bible.

Gemini 3.7 Flash

Best for: Visual references and multimodal story development
Why choose it: Useful when character or scene images need to inform written planning and revision.
Watch for: Visual interpretation and narrative inference should be checked against the actual reference.

Qwen3.7 Plus

Best for: Multilingual stories and constrained structure
Why choose it: Supports cross-language drafting, structured outputs, and reasoning over narrative rules.
Watch for: Review cultural tone, idiom, names, and localized genre conventions with a fluent reader.

Known limits

What an AI story generator cannot guarantee

Originality needs human direction

Generic prompts can produce familiar plots, voices, and tropes. Add concrete character motives, setting rules, contradictions, and stylistic constraints.

Continuity can drift

Names, ages, relationships, locations, chronology, objects, and visual identity may change across long stories or generated media.

References require rights

Use only authorized text, characters, images, and voices. Do not request imitation that creates avoidable copyright, likeness, or trademark risk.

Generated media is independently variable

A good story does not guarantee consistent illustrations, narration, music, or video. Review each modality against the story bible.

Sensitive audiences need editorial review

Children’s, educational, historical, health, and culturally specific stories need age, fact, bias, safety, and representation review.

Made with GizAI

Story examples

Browse real story examples made with GizAI.

Editorial transparency

How this page was reviewed

Written by GizAI Product Team · Reviewed by GizAI Model Operations · Updated 2026-07-16

GizAI publishes this AI story 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 story 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.
Check examples for concrete audience, character, conflict, structure, output, and continuity direction.
Verify one canonical URL, visible FAQs, structured data, internal links, desktop layout, and mobile layout.

Clear answers

AI story generator FAQ

Can the same character stay consistent?

Use a canonical character sheet with name, age, appearance, clothing, motives, relationships, speech patterns, and visual references. Consistency also depends on the selected image model and human review.

Can a story include images and voice?

Yes. Story workflows can continue into supported image, speech, music, and video models. Each generated asset has its own model contract and should be reviewed against the story bible.

Can I create an interactive story?

Yes. Define the player role, state, branch rules, consequences, win or end conditions, then continue into the game workflow.

What should a strong story prompt include?

State the audience, genre, premise, protagonist, desire, obstacle, setting rules, point of view, tone, length, structure, prohibited elements, and the exact next deliverable.

How do I continue a long story without contradictions?

Maintain a short story bible and timeline, summarize only approved canon after each chapter, identify unresolved threads, and ask for a continuity check before drafting the next scene.

Can I publish an AI-assisted story?

Publication suitability depends on your inputs, the amount of human authorship, rights, provider terms, and local law. Review originality, attribution, disclosure, likenesses, and contracts.

Can it write in multiple languages?

Yes with multilingual chat models, but literary tone, idiom, cultural references, names, and genre expectations should be reviewed by a fluent editor.

Which model is best for a novel?

Long-context models help with large manuscripts, while faster models help with iterative outlining and revision. No model replaces a maintained story bible, scene-level editing, and a final human manuscript review.