AIaggregate now has implemented several new AI Models
| Model Name | Description | Strengths | Release Date (First Version) | API Costs (approx. $/1M tokens) | Best Suited For | API Link |
|---|---|---|---|---|---|---|
| Google Gemini Flash 2.5 | A multimodal model (text, image, audio) optimized for real-time applications and low latency. | Extremely low latency, cost-efficiency for high throughput, good for many modalities. | Late 2023 / Early 2024 | Input: ~$0.40; Output: ~$0.80+ | Real-time conversational AI, low-latency applications, mobile integrations, multimodal UIs. | Google AI Gemini |
| Google Gemini Pro 2.5 | A powerful, high-capacity multimodal model with a very large context window (e.g., 1M tokens), designed for complex reasoning. | Massive context window, complex logical reasoning, deep understanding across modalities, strong coding capabilities. | December 2023 (Pro 1.5) | Input: ~$0.25; Output: ~$0.50 | Long-form content generation, complex code analysis/generation, in-depth research, large document summarization. | Google AI Gemini |
| OpenAI GPT-4.1 | An advanced version of GPT-4, potentially with updated knowledge cutoffs and enhanced reasoning capabilities. | High coherence, creativity, advanced logic, broad general knowledge, strong programming. | Likely Q3 2024 (Speculative) | Input: $10.00 – $20.00; Output: $30.00 – $60.00 | Complex problem-solving, creative writing, advanced programming, strategic analysis, research. | OpenAI GPT-4 |
| OpenAI GPT-4.1 mini | A compact, efficient version of GPT-4.1, designed for lower resource usage and faster inference. | Cost-effective, high speed, good performance for simple to medium complexity tasks. | Likely Q4 2024 (Speculative) | Input: ~$0.10 – $0.50; Output: ~$0.20 – $1.00 | Basic chatbots, quick prototyping, energy-efficient applications, simple content generation. | OpenAI Documentation |
| OpenAI GPT-4.1 nano | An even smaller and more constrained version of GPT-4.1, likely for edge devices or highly specialized tasks. | Minimal resource footprint, extremely fast for narrow applications, deployable on low-power hardware. | Likely Q4 2024 (Speculative) | Input: ~$0.05 – $0.20; Output: ~$0.10 – $0.40 | Embedded systems, IoT devices, highly constrained environments, very basic text generation. | OpenAI Documentation |
| OpenAI Codex Mini | A smaller variant of the original Codex model, focused on efficient code generation and understanding. | Specialized in code (generation, completion, explanations), efficient for coding tasks. | Varied (Codex original was 2021) | Output: ~$0.20 – $0.60 (based on older Codex pricing trends) | Rapid prototyping, in-IDE code completion, basic script generation, code explanation. | OpenAI Codex (legacy) |
| OpenAI o4 Mini | Likely a codename for a compact, efficient version of a future ‘o4’ generation model (e.g., successor to GPT-4). | High efficiency, potentially multimodal capabilities in a smaller package. | Speculative (Future iteration) | Speculative (Likely competitive with other “mini” models) | General purpose efficiency, mobile applications, quick API calls. | OpenAI |
| OpenAI o4 Mini High | A higher-performance variant of `o4 Mini`, balancing efficiency with increased capability. | Balanced performance for quality and speed, possibly for more demanding use cases than `o4 Mini`. | Speculative (Future iteration) | Speculative (Higher than ‘Mini’, lower than ‘Pro’) | Optimized for performance-critical lighter tasks, higher quality chatbots. | OpenAI |
| OpenAI o3 Pro | Likely a high-performance “Pro” version from a previous or alternative `o3` generation (e.g., GPT-3 successor). | Strong general performance, potentially good for broader business applications. | Speculative (Previous iteration) | Speculative (Dependent on the specific ‘o3’ generation) | General business use, content generation, conversational AI for enterprises. | OpenAI |
| xAI Grok 4 | The next iteration of xAI’s satirical and highly capable general-purpose LLM. | Strong reasoning, capable of sarcasm and humor, integrated with X (formerly Twitter) data. | Likely Mid-Late 2024 (Speculative) | Currently unknown (Potentially via X Premium subscription tiers) | Conversational AI with personality, real-time current event analysis, unique content generation. | xAI Grok |
| Anthropic Claude Opus 4 |
The highest-tier, most capable model in the Claude 4 family, emphasizing safety, interpretability, and advanced reasoning. | Cutting-edge performance in complex tasks, strong ethical alignment, advanced long-context understanding, high accuracy. | Likely Early 2025 (Speculative) | Input: ~$15.00+; Output: ~$75.00+ (Extrapolated from Claude 3 Opus) | Highly sensitive applications, complex scientific research, ethical AI development, enterprise-level document processing. | Anthropic Claude |
| Anthropic Claude Sonnet 4 |
A balanced model in the Claude 4 family, offering good performance at a more accessible cost. | Good balance of intelligence and speed, strong long-context processing, robust for general business use cases. | Likely Early 2025 (Speculative) | Input: ~$3.00+; Output: ~$15.00+ (Extrapolated from Claude 3 Sonnet) | Customer support, content summarization, general business automation, applications requiring good performance/cost balance. | Anthropic Claude |
| Acree AI various LLMs | A company likely developing or offering access to a range of LLMs, possibly specialized for certain industries. | Highly customizable for specific enterprise needs, potential for niche domain expertise. | Ongoing development | Varies by model and service (Contact Acree AI) | Custom enterprise solutions, vertical-specific AI applications. | Acree AI (Website may not directly list LLMs) |
| DeepSeek Prover V2 | A model highly specialized in formal reasoning and automated proof generation, often used in mathematics and computer science. | Exceptional at logical deduction, solving mathematical problems, verifying code and theorems. | 2024 | Input: ~$0.20 – $0.40; Output: ~$0.80 – $1.20 (Based on similar specialized models) | Automated theorem proving, formal verification, AI for mathematics, code correctness checking. | DeepSeek AI |
| DeepSeek R1 QWEN3 | A model from DeepSeek AI, likely a refined or re-trained version based on the QWEN architecture, optimized for specific tasks. | Good performance on general NLP tasks, potentially improved instruction following. | 2024 | Input: ~$0.15 – $0.30; Output: ~$0.50 – $0.90 | General text generation, summarization, question answering. | DeepSeek AI |
DeepSeek R1 Distill QWEN 7B
| A distilled (smaller, more efficient) version of a QWEN-based model, likely 7B parameters, designed for resource-constrained environments. |
High efficiency, good performance for its size, suitable for deployment on less powerful hardware. |
2024 |
Input: ~$0.05 – $0.15; Output: ~$0.15 – $0.45 |
Edge computing, mobile applications, local deployment, cost-sensitive projects. |
DeepSeek AI |
|
| Microsoft Phi 4 Reasoning Plus | A further advanced version of Microsoft’s small, yet powerful Phi family, with enhanced reasoning capabilities. | Strong reasoning despite compact size, efficient inference, good for specialized tasks. | Likely Late 2024 (Speculative for Phi 4) | Not typically API-driven (often for local deployment or Azure ML) | Reasoning tasks, educational applications, research on compact LLMs, specialized knowledge extraction. | Microsoft Phi |
| Mistral Medium 3 | The third generation of Mistral’s “Medium” model, likely an evolution of a powerful Mixture-of-Experts (MoE) architecture. | Exceptional efficiency (high quality for compute), strong reasoning, good multilingual support. | Likely Mid-late 2024 (Speculative) | Input: ~$0.60; Output: ~$1.80 (Extrapolated from Mistral Medium) | High-throughput applications, demanding analytical tasks, multilingual content generation, code-related tasks. | Mistral AI |
| Mistral Devstral Medium | A variant of Mistral Medium, specifically tuned or intended for developer-centric applications, potentially with enhanced coding features. | Optimized for coding, debugging, code generation, and understanding developer queries. | Likely Mid-late 2024 (Speculative) | Similar to Mistral Medium 3 | Software development, AI-powered coding assistants, automated testing. | Mistral AI |
| Mistral Magistral Medium | Potentially a high-tier or specialized version of Mistral Medium, possibly focusing on legal, enterprise knowledge or other “mastery” domains. | Advanced domain-specific reasoning, high accuracy in specialized knowledge areas. | Likely Mid-late 2024 (Speculative) | Likely higher than Mistral Medium 3 | Expert systems, legal tech, financial analysis, highly specialized content generation. | Mistral AI |
| Qwen3 | The third major iteration of the Qwen series, developed by Alibaba Cloud, known for strong multilingual capabilities. | Excellent multilingual performance (especially Chinese), good general-purpose capabilities, strong open-source variants. | Likely 2024 | Varies by hosting (cloud providers) or free for self-hosting. | Multilingual applications, general NLP, content creation in various languages. | Qwen GitHub |
| ThudM GLM 4 | The fourth generation of GLM models from Tsinghua University’s GLM team (Tsinghua & Bytedance/Zhipu.ai). | Strong performance, good for conversational AI, often benchmarked highly against top models. | 2024 | Varies by provider (e.g., Zhipu.ai API) | General-purpose conversational AI, content generation, translation. | ChatGLM Blog (Zhipu.ai) |
| Agentica Deepcoder | Likely a specialized model or platform from Agentica focusing on advanced code generation and software development. | Highly specialized in writing, optimizing, and understanding complex codebases. | Speculative | Not publicly available (likely enterprise solution) | Automated software development, complex code generation, intelligent coding assistants. | (No public link available for “Agentica Deepcoder”) |
| Baidu ERNIE 4.5 | The latest high-performance LLM from Baidu, strong in Chinese NLP and general capabilities. | Dominant in Chinese language processing, multimodal (text, image, speech) integration, strong general knowledge. | Likely Mid-Late 2024 | Contact Baidu AI Cloud | Chinese market applications, content creation for China, multimodal understanding. | Baidu AI Cloud |
| Inception Mercury Coder | Likely a code-focused model from Inception, designed for high-quality and efficient code generation. | Specialized in programming languages, precise code output, potential for various coding tasks. | Speculative | Not publicly available (likely enterprise solution) | Automated code generation, developer tools, software engineering. | (No public link for “Inception Mercury Coder”) |
| MiniMax M1 | A flagship LLM from Chinese AI company MiniMax, known for its strong performance and creativity. | High performance in general NLP and creative writing, capable of long texts. | Likely 2024 (Evolving) | Contact MiniMax (Primarily for Chinese market) | Content generation, creative writing, conversational AI applications. | MiniMax AI |
| MoonshotAI Kimi K2 | A major LLM from Chinese startup Moonshot AI, known for its extremely long context window. | Extraordinarily long context window (200K, 2M tokens), strong long-document understanding and summarization. | 2024 | Currently unknown (Access via chat app) | Analysis of very long documents, comprehensive summarization, legal/financial document review. | Moonshot AI |
| Morph V3 Models | A series of LLMs from Morph, potentially focusing on efficient adaptation or specialized tasks. | Efficiency, adaptability to specific domains, possibly strong in fine-tuning. | Speculative (Ongoing development) | Likely solution-based pricing | Domain-specific AI applications, data augmentation, enterprise insights. | (No clear public API for “Morph V3 Models”) |
| OpenGVLab | An open-source initiative or research group focused on Generative Vision and Language, likely releasing research models. | Cutting-edge research in vision-language models, open access for research. | Ongoing (Research Group) | Free for research use (self-hosted) | Academic research, experimental multimodal AI, development of new VLM techniques. | OpenGVLab |
| Switchpoint | Could be a general-purpose LLM, platform, or a company name. Context suggests it’s an LLM. | General-purpose text understanding and generation, potential for customizability. | Speculative | Unknown | General NLP tasks, integration into various applications. | (No clear public information for “Switchpoint” as an LLM) |
| Tencent Hunyuan A13B Instruct | Tencent’s general-purpose LLM (A13B parameter size), fine-tuned for instruction following. | Strong instruction adherence, good general knowledge, integrated into Tencent’s ecosystem. | 2023 (Ongoing development) | Contact Tencent Cloud | Automated customer service, content generation, smart assistants. | Tencent Cloud Hunyuan |
| TheDrummer Anubis 70B | Likely a 70-billion parameter open-source or community-driven model, potentially instruction-tuned or specialized. | Large parameter count for robust performance, potential for community fine-tuning. | Speculative (Community release possible) | Free for self-hosting (if open source) | Complex tasks requiring large models, research, open-source projects. | (Likely a Hugging Face or community page if available) |
| THUDM GLM 4.1V 9B Thinking | A multimodal model (V for Vision) from THUDM (Tsinghua University), 9B parameters, possibly emphasizing advanced reasoning capabilities (“Thinking”). | Multimodal understanding (text & image), efficient size (9B), strong reasoning. | Likely Late 2024 | Varies by provider (if API is offered) or free for research. | Image captioning, visual Q&A, multimodal reasoning for specific tasks. | ChatGLM Blog (Zhipu.ai) |