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gpt-5.6-sol
gpt-5.6-sol
OpenAI
New
Popular
35-94% off
GPT-5.6 Sol is a flagship large language model released by OpenAI in June 2026. Its key strengths include advanced reasoning, long-horizon agentic execution, software engineering, and cybersecurity capabilities. The model is optimized for complex workflows, scientific research, and professional knowledge tasks while featuring OpenAI's most advanced safety system to date. It is ideal for AI agents, software development, research, enterprise automation, data analysis, and other high-complexity professional applications.
LLM
Multimodal
UpdatedJul 20, 2026
claude-fable-5
claude-fable-5
Anthropic
New
Popular
28-83% off
Claude Fable 5 is Anthropic’s first commercially released Mythos-tier model available to the public, as well as the debut model in the Claude 5 series. It outperforms all of our previously released public models. Claude Fable 5 features strict built-in safety guardrails for high-risk fields such as cybersecurity, biology and chemistry. When presented with inquiries related to these areas, the model will decline to respond and automatically revert to Claude Opus 4.8. Additionally, it delivers exceptional performance in coding, knowledge-based work and visual understanding. In short, Claude Fable 5 can be described as a Mythos model equipped with robust safety safeguards, and it is currently the most powerful model Anthropic has launched for general users.
LLM
text
Code
UpdatedJul 20, 2026
gpt-image-2
gpt-image-2
OpenAI
New
Popular
35-94% off
GPT-Image-2 is a new-generation image generation model launched by OpenAI in April 2026, with the official formal name ChatGPT Images 2.0. Positioned as OpenAI's first image model with native "thinking" and reasoning capabilities, it marks the evolution of AI image generation from a mere rendering tool to a visual partner capable of logical planning.
LLM
Image
UpdatedJul 20, 2026
MiniMax-M3
MiniMax-M3
MiniMax
New
Popular
55-58% off
MiniMax-M3 is the new-generation flagship open-source large model officially released by MiniMax on June 1, 2026. It adopts the self-developed MSA sparse attention architecture, supports up to 1 million tokens context, and improves inference efficiency by more than 15 times. It scores 59.0% on SWE-Bench Pro coding benchmark and 83.5 on BrowseComp agent benchmark, surpassing Claude Opus 4.7, with native support for image, video understanding and computer desktop operation.
LLM
text
Code
UpdatedJul 20, 2026
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