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
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
- 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
- $0.0315 in · $0.189 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 · $0.161 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
- $0.698 in · $2.19 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 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 4.3, Kimi K2.6, MiniMax M3, and Gemma 4. 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.