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All 30 AI chat models available on EssayDone
GPT-5.6 Sol is OpenAI's frontier model in the GPT-5.6 family. OpenAI positions it as the flagship GPT-5.6 tier for complex professional work, and the gpt-5.6 alias routes API requests to GPT-5.6 Sol.
GPT-5.6 Terra is a balanced OpenAI model in the GPT-5.6 family. OpenAI positions it for workloads that balance intelligence and cost, and notes that it roughly corresponds to the mini model tier used in earlier GPT-5 families.
GPT-5.6 Luna is OpenAI's cost-efficient model in the GPT-5.6 family. OpenAI positions it as the fastest and most cost-efficient GPT-5.6 model., designed for cost-sensitive, high-volume workloads and roughly corresponding to the nano model tier used in earlier GPT-5 families.
Released on April 23, 2026, GPT-5.5 is OpenAI’s newest frontier model for complex professional work, coding, research, and agentic workflows. It belongs to the GPT-5 family and is positioned above GPT-5.4 for users who need stronger reasoning, better tool use, and more reliable execution across long-running tasks.
Released on March 5, 2026, GPT-5.4 is OpenAI’s frontier model for complex professional work, coding, reasoning, and agentic workflows. It belongs to the GPT-5 family and was introduced as a mainline reasoning model that combines advances in coding, tool use, computer use, and knowledge work.
Released on March 17, 2026, GPT-5.4 mini is OpenAI’s faster and more efficient small model in the GPT-5.4 family. It brings many of GPT-5.4’s strengths to high-volume workloads while reducing cost and improving responsiveness.
Released on March 17, 2026, GPT-5.4 nano is OpenAI’s cheapest GPT-5.4-class model for simple high-volume tasks. It is designed for workflows where speed and cost matter most, including classification, data extraction, ranking, and subagent-style support tasks.
Released on December 11, 2025, as part of the GPT-5 lineup, GPT-5.2 sits alongside GPT-5 as a flagship model built for demanding, long-running workloads.
Released on November 12, 2025 as part of the GPT-5 lineup, GPT-5.1 sits alongside GPT-5 and GPT-5 mini as the family's most conversational and adaptable model. Positioned as a versatile choice for coding and agentic workflows.
Released on August 7, 2025 as part of the GPT-5 lineup, GPT-5 mini sits alongside GPT-5 and GPT-5 nano as the family's streamlined, efficiency-focused option.
Released on August 7, 2025, as part of the GPT-5 lineup alongside GPT-5 and GPT-5 mini, GPT-5 nano is positioned as a lightweight model optimized for speed and low-cost deployment.
Released on October 6, 2025 as part of the GPT-5 lineup, GPT-5 Pro sits alongside GPT-5.1 and GPT-5 as the family's higher-compute, accuracy-focused model.
Released on August 7, 2025 as part of the GPT-5 lineup, GPT-5 sits alongside GPT-5 mini and GPT-5 nano as the family's core reasoning-focused model.
Released on May 13, 2024 as part of the GPT-4o lineup, GPT-4o sits alongside GPT-4o mini as the family's versatile, high-intelligence flagship model.
Released on September 12, 2024 as part of the OpenAI o1 lineup, OpenAI o1-mini sits alongside OpenAI o1 as the family's lighter, more efficient reasoning model.
Released on April 16, 2025 as part of the OpenAI o-series, OpenAI o4-mini sits alongside OpenAI o3 as an efficient reasoning-focused model.
Released on July 18, 2024 as part of the GPT-4o lineup, GPT-4o mini sits alongside GPT-4o and is positioned as the family's compact, cost-efficient model.
Released on December 17, 2024 as part of the OpenAI o1 lineup, OpenAI o1 sits alongside OpenAI o1 mini and is positioned as a model that deliberately spends more time thinking before responding.
Released on May 28, 2023 as part of the GPT-4 lineup, GPT-4 sits alongside GPT-4o mini and is positioned as a large-scale multimodal model focused on producing safer and more useful responses.
Released on April 24, 2026, DeepSeek-V4-Pro is the flagship model in DeepSeek’s V4 preview series. It is a Mixture-of-Experts language model with 1.6T total parameters and 49B activated parameters per token, designed for advanced reasoning, coding, agentic workflows, and long-context tasks.
Released on April 24, 2026, DeepSeek-V4-Flash is the faster and more economical model in DeepSeek’s V4 preview series. It is a Mixture-of-Experts language model with 13B activated parameters per token and a 1M-token context window.
Gemini 3.5 Flash is Google’s stable Flash model for sustained frontier-level intelligence at higher speed and lower cost than larger flagship models. Google positions it for agentic execution, coding, long-horizon tasks, multi-step workflows, and scaled real-world applications.
Gemini 3.1 Pro Preview is Google’s preview model built to refine the performance and reliability of the Gemini 3 Pro series. It is designed to provide better thinking, improved token efficiency, and a more grounded experience for complex real-world tasks.
Gemini 3.1 Flash-Lite is Google’s cost-efficient Gemini 3.1 model for high-frequency lightweight tasks. Google describes it as a low-latency, cost-effective multimodal model optimized for high-volume agentic workflows, simple data extraction, translation, and applications where latency and API cost are primary constraints.
Released on June 17, 2025 as part of the Gemini lineup, Gemini 2.5 Flash sits alongside Gemini 2.5 Pro and is positioned as the best model in terms of overall price-to-performance balance.
Released on June 17, 2025 as part of the Gemini lineup, Gemini 2.5 Pro sits alongside Gemini 2.5 Flash and is positioned as a model capable of comprehending vast datasets and tackling challenging problems across diverse information sources.
Released on May 28, 2026, Claude Opus 4.8 is Anthropic’s Opus-class model for complex agentic coding, enterprise work, browser-agent tasks, and long-running professional workflows. It builds on Claude Opus 4.7 with improvements in long-context handling, tool triggering, reasoning effort calibration, and practical knowledge work.
Released on February 17, 2026, Claude Sonnet 4.6 is Anthropic’s upgraded Sonnet model for coding, computer use, long-context reasoning, agent planning, knowledge work, and design. It was introduced as the most capable Sonnet model at launch and brought Opus-level performance closer to a more cost-efficient model class.
Released on September 29, 2025 as part of the Claude Sonnet lineup, Claude Sonnet 4.5 sits alongside Claude Opus 4.1 and Claude Haiku 4.5, positioned as a model designed for extended autonomous operation with consistent task continuity and fact-based progress tracking.
Released on October 15, 2025 as part of the Claude Haiku lineup, Claude Haiku 4.5 sits alongside Claude Opus 4.1 and is positioned as the most efficient model in the family, delivering near-frontier intelligence at significantly lower cost and latency.
FAQ
Here are some frequently asked questions about AI chat models.
A: Each model family has different strengths.
ChatGPT is known for balanced general performance and coding, Claude often focuses on safety and long-context reasoning, DeepSeek emphasizes cost-effective, high-capacity models, and Gemini integrates deeply with Google's ecosystem.
Our model pages highlight key specs and best use cases so you can choose the right fit.
A: Start from what you need most: speed, cost, reasoning, or specific use cases like coding, writing, or data analysis. Use this page to filter by model family, then open each model's detail page to compare context window, pricing, and strengths before deciding.
A: Yes. You can open any model page from this list and switch between models as needed, which makes it easy to test different providers and pick the one that works best for your scenario.
A: No. Access to EssayDone AI Chat is fully included in your EssayDone subscription, with up to 300 responses per day available for all users-no extra charges or add-ons required.
A: Yes. Your chat history is protected with strong encryption, and our team cannot access your conversations. You can also delete your AI chat history at any time for added privacy.
A: Yes. EssayDone AI Chat connects to the official APIs for ChatGPT, Claude, DeepSeek, and Gemini, so you're using the same underlying models as you would on their native platforms.
We don't retrain or alter these base models, which means response quality is consistent with the official services, while our interface simply adds extra tools and workflow features around them.