OpenAI
GPT-5.6-Sol, GPT-5.6-Terra & GPT-5.6-Luna
Newest GPT-5.6 options inside Chatsistant for premium reasoning, large-context workflows, advanced automation, high-quality RAG, and multi-agent orchestration.
Chatsistant Living LLM Hub
๐ Last updated: July 31, 2026
Latest LLMs Inside Chatsistant
A living, future-ready model hub for the current OpenAI, Gemini, Claude, DeepSeek, Groq-powered inference paths, and backend Mistral utility support inside Chatsistant. Built to help users understand model families, provider choices, workflow fit, context strategy, BYOK options, model availability, and where to check full pricing breakdowns.
๐ง Multi-Agent Ready
โ๏ธ Function Calling
๐ RAG + Sources
๐ Model Routing
๐ BYOK Supported + Message Credits
GPT-5.6
Sol, Terra, and Luna paths for advanced reasoning and premium workflows.
OpenAI
Gemini 3.6
Fast automation, Flash workflows, and scalable source-friendly output.
Google
Claude 5
Opus and Sonnet options for polished reasoning and premium quality.
Claude
DeepSeek V4
Technical workflows, coding help, and cost-conscious reasoning.
DeepSeek
Groq
High-speed inference provider. Groq BYOK now supported.
Newest Addition
0
Core model / provider / utility paths in the framework
1M
Up to one-million-token context on supported models/plans
Multi
Different LLMs can be assigned to different agents
Live
Built to update as new models are added or availability changes
Why This LLM Hub Matters
LLMs change fast. Some are better for speed, some for reasoning, some for large-context retrieval, some for technical workflows, and others for cost-efficient automation. Chatsistant is built as a flexible AI framework so you can match the right model to the right chatbot, agent, or workflow.
We remain at the forefront of AI innovation, but we prioritize your business stability over raw speed. While we closely track the latest releases from providers like OpenAI, Google, Anthropic, DeepSeek, Groq, and others, we test new models and provider paths before adding them to the native engine. This strategy is our commitment to quality control. You will typically see new models or provider paths deployed on our platform after they are tested for production-ready performance, reliability, and workflow compatibility.
Simple strategy: use fast models for everyday conversations, stronger models for advanced reasoning, supported GPT or Claude models for direct file/image reading where needed, Gemini for speed/function-calling/media-friendly source responses, DeepSeek for technical and cost-conscious workflows, Groq-powered options for ultra-low latency inference, and Mistral for backend utility processing.
Provider clarity: GPT models come from OpenAI, Claude comes from Anthropic, Gemini comes from Google, and DeepSeek comes from DeepSeek. Groq is different. Groq is a high-speed inference provider that can serve supported models through GroqCloud. Current Chatsistant Groq-powered options include GPT OSS 20B, GPT OSS 120B, and Qwen3.6 27B. Groq BYOK is now supported inside Chatsistant where supported.
Current Model Families + Provider Paths in Chatsistant
Use the filters below to browse active model families, provider choices, and Groq-powered inference paths. For exact token windows, message credit rates, BYOK availability, and plan access, use the full breakdown on the Chatsistant pricing page.
Groq note: Groq is included here as a provider/inference path inside the Chatsistant LLM ecosystem. Current Groq-powered options in the Chatsistant selector include GPT OSS 20B, GPT OSS 120B, and Qwen3.6 27B. Availability can change based on provider support, plan permissions, BYOK configuration, and account settings.
OpenAI
GPT-5.5
Premium GPT family for advanced reasoning, higher-end automation, complex structured workflows, enterprise RAG, and high-quality multi-agent orchestration.
OpenAI
GPT-5.4, GPT-5.4 Mini & GPT-5.4 Nano
Flexible GPT-5.4 family covering premium reasoning, balanced automation, and lower-cost high-speed workflows. Mini and Nano variants help scale performance while controlling credit usage.
OpenAI
GPT-5.4 Mini 16K, GPT-5.2, GPT-5.1 & GPT-5
GPT-5.4 Mini 16K is the current default for newly created Chatsistant chatbots, balancing speed, response quality, RAG support, and credit efficiency. Every new member starts with a 30-day free trial with no credit card required, including access to the full Chatsistant LLM suite and up to 128K context for testing. After the trial, the subscribed plan determines model and context access: Launch Free supports up to 16K, Essential ($10/month) supports up to 64K, and higher plans provide larger plan-specific limits where supported. GPT-5.2, GPT-5.1, and GPT-5 remain strong current options for support agents, business automation, content generation, workflow logic, and broad general-purpose assistant use.
OpenAI
GPT-4.1, GPT-4o & GPT-o Series
Includes GPT-4.1, GPT-4.1 Mini, GPT-4.1 Nano, GPT-4o, GPT-4o Mini, GPT-o1, GPT-o3, GPT-o3 Mini, GPT-o4 Mini, and GPT-3.5 for flexible speed, compatibility, reasoning, and lightweight needs.
Google Gemini
Gemini 3.6 Flash & Flash Thinking
Newest Gemini Flash options for fast responses, scalable automation, function-calling workflows, source-friendly output, and reasoning-assisted Flash use cases.
Google Gemini
Gemini 3.5 Flash-Lite & Flash-Lite Thinking
Lightweight Gemini 3.5 Flash-Lite options for high-volume chat, cost-efficient workflows, quick routing, lightweight actions, and Thinking-enhanced responses where supported.
Google Gemini
Gemini 3.1 Pro & Pro Thinking
Advanced Gemini options for deeper reasoning, planning, technical workflows, large-context analysis, and decision-heavy multi-agent tasks.
Google Gemini
Gemini 3 Flash, Flash Thinking & 3.1 Flash-Lite
Fast, scalable Gemini options for responsive chat, function-calling workflows, media/source-friendly replies, and high-volume production usage.
Google Gemini
Gemini 2.5 Pro, Flash & Flash-Lite
Stable Gemini 2.5 families for reasoning, speed, multimodal-style workflows, and flexible cost/performance routing across different chatbot use cases.
Anthropic Claude
Claude Opus 5 & Claude Sonnet 5
Newest Claude options for premium reasoning, polished long-form output, thoughtful support, advanced summaries, analysis, and high-quality assistant behavior.
Anthropic Claude
Claude Opus 4.8
High-end Claude Opus option for careful analysis, strategic content, long-form work, advanced reasoning, and premium assistant workflows.
Anthropic Claude
Claude Sonnet 4.5 & 4.6
Balanced Claude models for reasoning, writing, summaries, business workflows, and dependable high-quality responses without always stepping up to Opus.
Anthropic Claude
Claude Opus 4.5, 4.6 & 4.7
High-end Claude Opus options for deeper reasoning, careful long-form work, strategic content, advanced analysis, and premium assistant behavior.
Anthropic Claude
Claude Haiku 4.5
Fast and efficient Claude option for lighter conversations, support replies, and workflows where affordability and clarity matter.
DeepSeek
DeepSeek-V4-Flash & Flash Thinking
Fast, affordable DeepSeek families for responsive chatbots, lightweight RAG, technical Q&A, and reasoning-enhanced automation where cost matters.
DeepSeek
DeepSeek-V4-Pro & Pro Thinking
Stronger DeepSeek models for coding support, deeper responses, advanced technical workflows, long-context analysis, and more capable reasoning tasks.
Groq
GPT OSS 20B
OpenAI GPT OSS open-weight model served through Groq where supported. A lighter path for utility actions, text classification, fast automation, intake flows, and cost-conscious scaling.
Groq
GPT OSS 120B
OpenAI GPT OSS open-weight model served through Groq where supported. Useful for reasoning, coding, agentic workflows, robust retrieval-style tasks, and deeper synthesis.
Groq
Qwen3.6 27B
Qwen model served through Groq where supported. Useful for programming logic, schema-style output, technical Q&A, fast reasoning, and automation-friendly workflows.
Mistral Utility Layer
Backend Processing Support
Chatsistant can use Mistral in the backend for organization, preprocessing, classification, summaries, metadata extraction, and workflow support. Clients do not need to configure this themselves.
Need exact message credit costs? The public Chatsistant pricing page includes the detailed LLM breakdown by model, context window, plan access, and credit usage. This hub gives users the easier โwhat should I use?โ view.
Best-Fit LLM Guide
The goal is not to pick one โbestโ model. The goal is to assign the right model to the right agent, source workflow, function, or automation task.
| Workflow Need | Best Direction | Why It Helps |
|---|---|---|
| Fast live chat | GPT-5.4 Mini 16K, GPT-4o Mini, Gemini Flash, Gemini Flash-Lite, Mini/Nano options | Lower latency and better fit for always-on chat experiences. |
| Ultra-low latency / fast inference | Groq-powered paths: GPT OSS 20B, GPT OSS 120B, and Qwen3.6 27B | Best for real-time chat, live routing, intake, and high-speed multi-agent handoffs where low latency matters. |
| Hard reasoning | GPT-5.6-Sol, GPT-5.6-Terra, GPT-5.6-Luna, GPT-5.5, Claude Opus 5, Claude Sonnet 5, Gemini Pro Thinking, DeepSeek Pro Thinking | Better for multi-step logic, planning, complex analysis, and advanced tasks. |
| Function calling | GPT, Gemini, Claude, or DeepSeek depending on setup | Good schemas, prompts, and tool setup matter as much as model choice. |
| Direct file/image reading | Certain supported GPT or Claude models | Direct uploaded visual input is model and input-format dependent. |
| Media/source rendering | Gemini can be a strong fit | Useful for markdown, YouTube transcript workflows, embedded links, and source-based responses. |
| Technical/coding workflows | DeepSeek-V4, GPT, Claude, or Groq-powered Qwen where supported | Helpful for technical Q&A, coding-style support, and structured logic. |
| Backend organization | Mistral utility support | Useful for preprocessing, classification, summaries, and source organization behind the scenes. |
How Multi-Agent LLM Orchestration Works
Chatsistantโs real advantage is that you are not locked into one LLM for the whole chatbot. You can design different agents for different jobs and assign each one a model that fits its role.
1
Start with the job
Support, sales, lead capture, booking, coding, research, RAG, and source workflows do not always need the same model.
2
Match the LLM to the agent
Use fast models for live chat, stronger models for deep reasoning, and specialized models for technical or media-friendly workflows.
3
Use context intentionally
Large context windows are powerful, but they cost more. Use them when the source size, memory needs, or reasoning depth actually require it.
4
Let utility layers support the workflow
Mistral can help with backend organization, summaries, classification, preprocessing, and source cleanup where enabled with compatible features.
5
Check pricing before scaling
Before running high-volume traffic, compare message credits, model selection, plan limits, BYOK options, add-ons, and business ROI.
Model Availability Notes
Model availability can change as providers update catalogs, release stronger models, or retire older paths. This keeps the model selector cleaner and helps avoid outdated workflows.
DeepSeek-V3.2 and DeepSeek-V3.2 Thinking
Replaced by DeepSeek-V4 families
Groq Llama 3.3 70B, Groq Llama 3.1 8B, and Groq Qwen3 32B
Not shown in the current Chatsistant selector
If a model no longer appears in the active Chatsistant model selector, it should generally be treated as unavailable for new chatbot or agent configurations, even if older screenshots, examples, or archived docs still mention it.
Ready to Build with the Latest LLMs?
Create your Chatsistant account and start testing OpenAI, Gemini, Claude, DeepSeek, Groq-powered options, and backend Mistral utility support in a real multi-agent AI framework with RAG, function calling, sources, automations, BYOK options, and model routing built in.
Start free and scale seamlessly. Build with supported LLMs, provider paths, BYOK options, and multi-agent workflows directly on Chatsistant.com.
Want to estimate your AI overhead vs. ROI?
Try the ROI Calculator โ
Use the Chatsistant ROI Calculator on the pricing page to estimate message usage, model credit costs, lead value, support savings, and possible profit impact before choosing a plan.
