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Conversational coding
taaft.com/conversational-coding
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There are 0 Free Android AIs for Conversational coding.
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Number of models
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Related Tasks✕
Models 43
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By MicrosoftMAI-Thinking-1 is Microsoft AI’s flagship reasoning model for complex reasoning, software engineering, math, and high-difficulty problem solving.NewMultimodalReleased 2d ago
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By MiniMaxMiniMax M3 is MiniMax’s open-weight multimodal model for agentic coding, tool use, long-context tasks, and native text-visual reasoning.NewMultimodalReleased 3d ago
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By AlibabaQwen3.7-Plus is Alibaba Qwen’s multimodal agent model that unifies vision and language for agentic vision-language workflows.NewMultimodalReleased 4d ago
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By JetBrainsMellum2-12B-A2.5B-Base is JetBrains’ Apache 2.0 text-generation base model, a 12B MoE checkpoint with 2.5B active parameters for long-context code and language tasks.NewCodingReleased 6d ago
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By OpenBMBMiniCPM5-1B is OpenBMB’s open-source 1B causal language model for on-device local assistants, coding agents, tool use, and compact reasoning.NewMultimodalReleased 9d ago
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By AlibabaQwen3-Max is Alibaba Cloud’s closed-source trillion-parameter flagship LLM for coding, reasoning, enterprise agentic AI, and tool-use workflows.NewMultimodalReleased 14d ago
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By CohereCommand A+ 05-2026 W4A4 is Cohere’s open-source quantized vision-language reasoning model for agentic, multilingual, tool-use, and enterprise tasks.NewMultimodalReleased 15d ago
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By NVIDIANemotron-Labs-Diffusion-14B is NVIDIA’s open 14B text-generation language model that supports autoregressive decoding, diffusion-style parallel decoding, and self-speculative decoding.NewTextReleased 16d ago
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By InternLMIntern-S2-Preview is InternLM’s open-source 35B scientific multimodal foundation model for image-text reasoning, scientific tasks, and agent workflows.NewMultimodalReleased 20d ago
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By AntGroupRing-2.6-1T is inclusionAI’s open-source 1T-parameter text-generation reasoning model for agent workflows, coding, scientific analysis, and enterprise automation.NewMultimodalReleased 21d ago
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By HuiHui aiHuihui4-8B-A4B-v2 is a lightweight pruned MoE conversational model derived from Gemma-4-26B-A4B-it. It is designed for consumer-grade hardware and code-related conversation, using 32 experts with 8 active per token and adopting GLM-5.1-style thinking-mode data during supervised fine-tuning.NewMultimodalReleased 1mo ago
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By HuiHui aiHuihui4-8B-A4B is a lightweight pruned MoE conversational model based on Gemma-4-26B-A4B-it. It is built for consumer-grade hardware and code-related conversational tasks, using expert pruning plus supervised fine-tuning to cut compute cost while preserving core reasoning and interaction ability.NewMultimodalReleased 1mo ago
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By DeepSeekDeepSeek-V4-Flash is DeepSeek’s faster, smaller, and more economical V4 model for efficient large-scale use. It has 284B total parameters with 13B active parameters, supports a 1M token context window, and is positioned as a high-speed, cost-effective model whose reasoning comes close to V4-Pro.NewMultimodalReleased 1mo ago
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By DeepSeekDeepSeek-V4-Pro is DeepSeek’s new flagship open-source model for top-end reasoning, coding, world knowledge, and agentic work. It uses a MoE architecture with 1.6T total parameters and 49B active parameters, supports a 1M token context window, and is positioned as rivaling leading closed-source models while leading current open models on several major capabilities.NewMultimodalReleased 1mo ago
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By AntGroupLing-2.6-1T is inclusionAI’s trillion-parameter flagship instruct model for real-world agents. It is positioned for fast execution, high efficiency at scale, advanced coding, complex reasoning, and large-scale agent workflows, using a “fast thinking” approach to cut cost while keeping top-tier performance.NewMultimodalReleased 1mo ago
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By OpenAIGPT-5.5 is OpenAI’s newest flagship model for real work on a computer. It is built for stronger agentic coding, computer use, knowledge work, and early scientific research, while matching GPT-5.4’s per-token latency in real-world serving and using fewer tokens to complete the same Codex tasks.NewMultimodalReleased 1mo ago
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By AlibabaQwen3.6-35B-A3B is Qwen’s open-weight multimodal MoE model for coding, agentic workflows, long-context reasoning, and vision-language tasks. It has 35B total parameters with 3B activated, supports image-text-to-text use, preserves reasoning context across turns, and natively handles 262,144 tokens with extension up to about 1.01M.NewMultimodalReleased 1mo ago
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By Z.aiGLM-5.1 appears to be Z.ai’s coding-focused update to GLM-5, aimed at stronger agentic software engineering and long-context coding. Public reporting describes it as a post-training upgrade rather than a new base architecture, keeping the large MoE backbone while improving coding performance.NewTextReleased 1mo ago
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By Arcee AITrinity-Large-Thinking is Arcee AI’s open-source reasoning model for long-horizon agents and multi-turn tool use. It is built to improve context coherence, instruction following, and stability across extended agent loops, and is released under Apache 2.0 for developers and enterprises that want open weights they can inspect, host, and post-train.NewTextReleased 2mo ago
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By AlibabaQwen3.6 Plus is Alibaba’s next-generation preview model in the Qwen Plus line, built with a hybrid architecture for better efficiency, scalability, reasoning, and agentic behavior. It is positioned as especially strong for coding, front-end development, and complex multi-step problem solving, with support for very long-context use cases.NewMultimodalReleased 2mo ago
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By AlibabaQwen3.6 Plus Preview is a preview large language model in the Qwen Plus line, built with a hybrid architecture aimed at better efficiency, scalability, reasoning, and agentic behavior. It is positioned as especially strong for coding, front-end development, and complex problem-solving, and is offered on OpenRouter with a 1,000,000-token context window.NewMultimodalReleased 2mo ago
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By XiaomiMiMo-V2-Pro is Xiaomi’s flagship foundation model built for real-world agent workloads, designed to act as the “brain” of agent systems that orchestrate complex workflows and tool use.NewTextReleased 2mo ago
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By MiniMaxMiniMax M2.7 is MiniMax’s new text model release positioned around “self-evolution,” aimed at higher performance and value for complex tasks.NewTextReleased 2mo ago
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By OpenAIGPT-5.4 mini is a fast, efficient GPT-5.4-family model optimized for high-volume coding and agent workloads, while keeping strong reasoning, multimodal understanding, and tool use.NewMultimodalReleased 2mo ago
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By NVIDIANemotron-Cascade 2 is an open 30B Mixture-of-Experts model (3B activated) trained with Cascade RL and multi-domain on-policy distillation for strong reasoning and agentic capabilitieNewTextReleased 2mo ago
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By Mistral AIMistral Small 4 is an open hybrid model that unifies instruct, reasoning, and coding in a single multimodal model with a 256k context window.NewMultimodalReleased 2mo ago
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By NVIDIANemotron 3 Super is NVIDIA’s open Mixture-of-Experts hybrid Mamba-Transformer model designed for high-throughput agentic workloads and long-context reasoning.NewTextReleased 2mo ago
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By OpenAIGPT-5.4 Pro is the maximum-performance variant of GPT-5.4 for people who want the strongest results on complex tasks in ChatGPT and the API.NewMultimodalReleased 2mo ago
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By OpenAIGPT-5.4 Thinking is the ChatGPT-facing GPT-5.4 model mode tuned for professional work, emphasizing stronger reasoning, coding, and agentic workflows with fewer back-and-forth turns.NewMultimodalReleased 2mo ago
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By OpenAIGPT-5.3 Instant is an update to ChatGPT’s most-used everyday model, tuned for smoother, more consistently helpful conversations and stronger web-assisted answers.MultimodalReleased 3mo ago
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By AlibabaQwen3.5-9B is a larger dense vision-language causal model with a vision encoder, targeting stronger capability for multimodal reasoning and agentic useMultimodalReleased 3mo ago
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By AlibabaQwen3.5-4B is a mid-size vision-language causal model with a vision encoder, designed for multimodal reasoning, coding, and agent workflows with very long context.MultimodalReleased 3mo ago
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By AlibabaQwen3.5-2B is a small vision-language causal model with a vision encoder, aimed at strong multimodal capability with efficient compute.MultimodalReleased 3mo ago
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By AlibabaQwen3.5-0.8B is a compact vision-language causal model with a vision encoder, built for multimodal understanding and agentic tool use at small scale.MultimodalReleased 3mo ago
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By NVIDIANemotron-3-Nano-30B-A3B is NVIDIA’s 30B-class LLM trained from scratch as a unified model for both reasoning and standard chat tasks. It can be configured to produce a reasoning trace before the final answer, letting developers switch reasoning behavior through the chat template.TextReleased 5mo ago
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By Mistral AIMinistral 3 14B Instruct 2512 is Mistral’s largest Ministral 3 model, built as an efficient instruction model with vision capabilities. Mistral positions it as delivering frontier-level capability while staying compact enough for local or edge deployment.MultimodalReleased 6mo ago
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By IBMGranite-4.0-1B is IBM’s lightweight instruction model built for efficient agentic tasks like instruction following and tool calling.TextReleased 7mo ago
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By NVIDIALlama-3.3-Nemotron-Super-49B-v1.5 is NVIDIA’s upgraded 49B reasoning model derived from Meta Llama-3.3-70B-Instruct. It is post-trained for reasoning, chat preference alignment, and agentic tasks such as RAG and tool use.TextReleased 7mo ago
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By 169PiAlpie-Core is 169Pi’s first-generation 4-bit quantized reasoning model, built on the DeepSeek-32B family and optimized for efficient reasoning, mathematics, coding, and science tasks. It combines QLoRA, LoRA, and synthetic dataset distillation, supports a 65K-token context, and is designed to deliver strong reasoning performance with far lower memory and compute costs.TextReleased 8mo ago
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Hermes-4-70B is Nous Research’s frontier hybrid-mode reasoning model built on Llama-3.1-70B. It is designed for strong reasoning, coding, STEM, creativity, tool use, function calling, JSON/structured outputs, and long-context chat, with an optional explicit thinking mode that can emit
... reasoning traces.TextReleased 9mo ago -
By Moonshot AIKimi-K2-Instruct-0905 is Moonshot AI’s upgraded Kimi K2 instruct model, a 1T-parameter MoE system with 32B active parameters. It is tuned for agentic coding, better real-world coding performance, and stronger frontend generation without the long-thinking behavior of the dedicated thinking variantTextReleased 11mo ago
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By SpeakLeashBielik-11B-v2.6-Instruct is a Polish-focused 11B instruction model from SpeakLeash, aimed at strong language understanding and instruction following for Polish use cases. It is part of the Bielik 2.6 family and has multiple quantized deployment variants.TextReleased 11mo ago
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By AlibabaMarco-o1 is Alibaba International Digital Commerce’s open reasoning model line aimed at real-world problem solving, not just standard-answer tasks. It is designed for mathematics, physics, coding, planning, and open-ended solutions, with an emphasis on broader agentic use, including planning ability and function-calling readiness.TextReleased 1y ago
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