Chat with the right AI model for every task
Free to try · No sign-up on included modelsCompare current language models in one executable workspace, then continue with images, files, live sources, code, and creation tools in the same conversation.
Practical prompts for real work
See exact generation prompt
Research the most important changes in battery recycling policy during the last 12 months. Separate primary sources from commentary, compare the United States and European Union, cite every time-sensitive claim, identify disagreements, and finish with five questions a manufacturing executive should investigate next.
Choose Auto when you want GizAI to route each request, or select a model directly for predictable behavior.
Use supported models with images, then continue in the full workspace with files, camera, screen, and prior conversation context.
Search the web, news, papers, videos, and connected knowledge when the task needs information beyond model memory.
Let the assistant research, write, code, and call image, video, audio, or music tools while keeping the work in one thread.
Compare current AI chat models
- Input → output
- 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.
- Input → output
- file / image / text / pdf → text
- Released
- Sep 22, 2026
- In / out price
- $0.05 in · $0.25 out / 1M
- Context
- 128K
- Max output
- 16.4K
- Capabilities
- Tools · Reasoning · Structured output
GPT-6 Luna is the fast, cost-efficient model in OpenAI's GPT-6 series, positioned below GPT-6 Sol. It is suited for high-volume and latency-sensitive workloads such as chat, classification, and lightweight agentic...
- Input → output
- file / image / text / pdf → text
- Released
- Mar 17, 2026
- In / out price
- $0.1 in · $0.625 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...
- Input → output
- text / image / file → text
- Released
- Sep 21, 2026
- In / out price
- $1.6 in · $4.8 out / 1M
- Context
- 500K
- Max output
- 450K
- Capabilities
- Tools · Reasoning · Structured output
Grok 4.7 is SpaceXAI's flagship model for coding, agentic tasks, and knowledge work, succeeding Grok 4.6. It is particularly strong at long-running software engineering tasks, verifying its own work, and...
- Input → output
- text → text
- Released
- Jul 31, 2026
- In / out price
- $0.044 in · $0.132 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....
- Input → output
- text → text
- Released
- Aug 12, 2026
- In / out price
- $0.264 in · $0.792 out / 1M
- Context
- 1M
- Max output
- 384K
- Capabilities
- Tools · Reasoning · Structured output
DeepSeek V4 Pro 0813 is a large-scale mixture-of-experts model from DeepSeek. This is the GA release of DeepSeek V4 Pro.
- Input → output
- text / image / video / file / audio / pdf → text
- Released
- Jul 21, 2026
- In / out price
- $0.15 in · $1.25 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.
- Input → output
- text / image / video / file / audio / pdf → text
- Released
- Sep 2, 2026
- In / out price
- $0.375 in · $1.88 out / 1M
- Context
- 1.05M
- Max output
- 65.5K
- Capabilities
- Tools · Reasoning · Structured output
Gemini 3.8 Flash is Google's most intelligent Flash model with significant gains from 3.7 Flash across software engineering, agentic tasks, and multi-step reasoning.
- Input → output
- image / text / video / pdf → text
- Released
- Apr 2, 2026
- In / out price
- $0.09 in · $0.34 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 5.2- Input → output
- text / image / file → text
- Released
- Jun 16, 2026
- In / out price
- $0.489 in · $1.54 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,...
- Input → output
- text / image / video / pdf / file → text
- Released
- May 31, 2026
- In / out price
- $0.23 in · $0.96 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,...
Z.aiGLM 5.3 Flash- Input → output
- text / image / video / file → text
- Released
- Aug 26, 2026
- In / out price
- $0.045 in · $0.14 out / 1M
- Context
- 1.31M
- Max output
- 131K
- Capabilities
- Tools · Reasoning · Structured output
GLM-5.3-Flash is a native multimodal model from Z.ai. It is suited for efficient coding and long-horizon agent tasks. Its hybrid sparse and linear attention architecture maintains accurate long-context behavior while...
Moonshot AIKimi K2.6- Input → output
- text / image / video / file → text
- Released
- Apr 20, 2026
- In / out price
- $0.434 in · $1.83 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...
- Input → output
- text / image / video / pdf / file → text
- Released
- Aug 26, 2026
- In / out price
- $0.15 in · $0.47 out / 1M
- Context
- 262K
- Max output
- 131K
- Capabilities
- Tools · Reasoning · Structured output
Qwen3.8 Flash is a multimodal reasoning model from Alibaba. It is suited for coding assistance, agentic workflows, visual understanding, document and codebase analysis, desktop interaction, chart analysis, and long-video analysis.
- Input → output
- text / image / pdf / file → text
- Released
- Jun 3, 2026
- In / out price
- $0.32 in · $1.28 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...
- Input → output
- file / image / text / pdf → text
- Released
- Sep 4, 2026
- In / out price
- $5 in · $25 out / 1M
- Context
- 1.05M
- Max output
- 128K
- Capabilities
- Tools · Reasoning · Structured output
GPT-6 Astra is OpenAI's flagship model for demanding end-to-end work. It is suited for advanced analysis, software engineering, deep research, scientific work, and document creation, with particular strengths in long-horizon...
- Input → output
- file / image / text / pdf → text
- Released
- Jul 9, 2026
- In / out price
- $1 in · $6 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...
- Input → output
- file / image / text / pdf → text
- Released
- Jul 9, 2026
- In / out price
- $1 in · $5 out / 1M
- Context
- 128K
- Max output
- 16.4K
- 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...
- Input → output
- text / image / file / pdf → text
- Released
- Sep 1, 2026
- In / out price
- $10 in · $50 out / 1M
- Context
- 1M
- Max output
- 128K
- Capabilities
- Tools · Reasoning · Structured output
Claude Fable 5.1 improves on Claude Fable 5 across the board, with the biggest gains in agentic coding, long-running agentic workflows, and knowledge work: long code refactors, front-end and visual...
- Input → output
- text / image / file / pdf → text
- Released
- Jun 30, 2026
- In / out price
- $2 in · $10 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,...
Choose by task, not by hype
Start with Auto, or choose a fixed model when its strengths and tradeoffs match the work.
- Best for
- Most everyday tasks and first-time users
- Why choose it
- Routes each request to a suitable available model without making you compare every specification first.
- Watch for
- Routing can change by task and availability; select a fixed model when reproducibility matters.
- Best for
- Fast coding, reasoning, and long analysis
- Why choose it
- Balances a large context window with lower-cost responses for iterative work.
- Watch for
- Fast output still requires tests and source verification for consequential work.
- Best for
- Hard coding, math, and multi-step tool use
- Why choose it
- Prioritizes deeper reasoning and agentic execution over the fastest response.
- Watch for
- Longer reasoning can increase latency and usage.
- Best for
- Images, documents, and quick multimodal synthesis
- Why choose it
- Combines fast reasoning with vision and document-oriented work.
- Watch for
- Exact extraction should be checked against the original file or image.
GLM 5.2- Best for
- Coding, math, multilingual and multimodal analysis
- Why choose it
- A strong general reasoning option when the task crosses languages or modalities.
- Watch for
- Model confidence is not evidence; request sources for current or high-stakes claims.
- Best for
- Structured multilingual reasoning
- Why choose it
- Useful for constrained outputs, math, code, and cross-language work.
- Watch for
- Review locale-specific tone and terminology before publication.
Kimi K2.6- Best for
- Long documents and large-context synthesis
- Why choose it
- Designed for document-heavy chat, coding, and evidence organization.
- Watch for
- Large context does not guarantee every detail is weighted correctly; ask for locations and quotations to audit coverage.
What AI chat cannot guarantee
Language models can fabricate facts, citations, calculations, and code behavior. Verify primary sources, run code, and use qualified review for medical, legal, financial, or safety decisions.
Vision, context length, tools, speed, and plan access come from the selected live model. A feature available on one model is not promised for every model.
A model’s built-in knowledge is not a live source. Enable source context or ask for web research when dates, prices, releases, people, or policies may have changed.
Do not submit secrets or data you are not authorized to process. Review GizAI privacy terms and your organization’s data policy before using confidential material.
No-sign-up use applies only to models with an Included allowance. Other models may require sign-in, a plan, or usage credit, as shown in the live picker.
How this page was reviewed
Written by GizAI Product Team · Reviewed by GizAI Model Operations · Updated 2026-07-16
GizAI publishes this AI chat 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 chat 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 that examples state a concrete task, output contract, and verification requirement instead of promising flawless answers.
- Verify one canonical URL, visible FAQs, structured data, internal links, desktop layout, and mobile layout.
AI chat questions, answered clearly
Can I use this AI chat without signing up?
Yes, when you select a model marked Included for anonymous use. Anonymous allowances are limited. Models that require an account, plan, or usage credit show that requirement in the picker before you send.
Which AI models can I chat with?
The page currently offers Auto routing plus active GizAI chat options including DeepSeek V4, GPT-5.6 Luna, Gemini 3.5 Flash, GLM 5.2, Qwen3.7, Grok 4.6, Kimi K2.6, and MiniMax M3. The live picker is authoritative for availability and access.
What does the Auto model do?
Auto routes the request to a suitable available chat model. Use it when you care about the result more than a specific provider. Choose a fixed model when you need repeatable model behavior or a particular capability.
Can AI chat analyze images and files?
Supported vision models can receive an image from this form. After the handoff, the full GizAI workspace can also use files and other context. Accepted inputs and limits depend on the selected model and are shown in its settings.
Can it search the live web and cite sources?
Yes, when source context and tools are enabled. Ask for primary sources and citations explicitly, then open and verify the linked material. A citation-shaped answer is not proof that the source supports the claim.
Which model should I choose for coding?
Start with Auto for routine work. DeepSeek Flash is suited to fast iterative coding, while DeepSeek Pro is intended for harder reasoning and multi-step work. Regardless of model, inspect the diff and run the relevant tests.
Does GizAI train models on my chat?
Data handling depends on GizAI and the providers involved in the selected service. Review the current privacy policy before sending sensitive information; do not rely on a generic AI-chat privacy assumption.
How current are AI chat answers?
Model memory has a cutoff and may be incomplete. For time-sensitive questions, use live source context, require dated citations, and verify the original source.
Are AI chat answers safe to publish or act on?
Not without review. Check facts, rights, privacy, calculations, and code behavior. High-stakes medical, legal, financial, or safety decisions need qualified human judgment and authoritative sources.