Coding

Models 219

• Gen 3
  Kimi K3

  By Moonshot AI

  Kimi K3 is a 2.8 trillion parameter sparse Mixture-of-Experts language model with native vision understanding and a context window of up to 1 million tokens. It uses Kimi Delta Attention and Attention Residuals to improve long-context efficiency and depth scaling, with an always-on reasoning mode for coding, knowledge work, and agentic tool use.

  💬Chatting💻Coding🤖Agents🔍Research📄Document analysis🔍Image analysis
  NewMultimodal

  Released 3d ago
• Gen 3
  Inkling

  By Thinking Machines Lab

  Inkling is an open-weights Mixture-of-Experts transformer from Thinking Machines Lab with 975B total parameters (41B active) and native multimodal support for text, image, and audio input with text output. It supports up to a 1M-token context window and controllable reasoning effort, letting developers trade off cost and latency. Trained on 45 trillion tokens, it targets broad, balanced performance across reasoning, agentic coding, tool use, and multimodal tasks.

  💬Chatting💻Coding🗒Transcription🔍Image analysis
  NewMultimodal

  Released 4d ago
• Gen 3 Qwen
  Bonsai 27B

  By PrismML

  Bonsai 27B is a 27.8B-parameter multimodal language model built on Qwen3.6 27B, quantized end-to-end to 1-bit or 1.58-bit ternary weights across embeddings, attention, MLPs, and the LM head. It accepts text and image input with a 262,144-token context window, and supports reasoning, tool use, and coding, while running locally on phones, laptops, and edge GPUs.

  💬Chatting💻Coding🔢Math
  NewMultimodal

  Released 5d ago
• Gen 3
  Muse Spark 1.1

  By Meta Platforms

  Muse Spark 1.1 is a multimodal reasoning model built for agentic tasks, with strengths in tool use, computer use, coding, and multimodal understanding. It manages a 1 million token context window and orchestrates multi-agent systems for complex, long-running projects.

  💬Chatting🎥Video analysis💻Coding🤖Agents🔍Image analysis
  NewMultimodal

  Released 10d ago
• Gen 7 Grok
  Grok 4.5

  By SpaceX

  Grok 4.5 is a mixture-of-experts language model built to handle difficult, long-running tasks that require creatively using tools, across software engineering, data science, finance, and legal work. It uses reasoning and tool use to investigate problems, recover from mistakes, and verify results.

  📊Data analysis🔎Problem solving💵Financial analysis💻Coding🔍Legal research
  NewText

  Released 11d ago
• Gen 2 SWE
  SWE 1.7

  By Cognition AI

  SWE 1.7 is Cognition's most capable coding model to date, reaching frontier level intelligence at a much lower cost. Trained with reinforcement learning from a Kimi K2.7 base, it is optimized for long horizon, asynchronous agentic software engineering tasks and thorough codebase exploration.

  💻Coding✉️Codebase Q&A🐞Debugging🔧Code refactoring🔬Test generation💻Vibe coding
  NewCoding

  Released 11d ago
• Gen 7 Hunyuan
  Hy3 295B

  By Tencent

  Hy3 is a 295B-parameter Mixture-of-Experts language model with 21B active parameters, developed by the Tencent Hy team. It offers strong reasoning, coding, and agentic capabilities with a 256K token context window, improved tool-call reliability, and reduced hallucination compared to its preview version.

  💬Chatting💻Coding🤖Agents🚀Productivity🔍Advanced reasoning
  NewText

  Released 13d ago
• Gen 7 Hunyuan
  Hy3

  By Tencent

  Hy3 is a 295 billion parameter Mixture of Experts language model from Tencent with 21 billion active parameters and a 256K token context window. It supports fast and deep reasoning modes, tool calling, and multi turn dialogue, with improved reliability, reduced hallucination, and stronger agentic and coding performance over its preview version.

  💬Chatting📝Content creation💻Coding🤖Agents🤔Logical reasoning
  NewText

  Released 13d ago
• Gen 3 Qwen
  Ternary Bonsai 27B

  By PrismML

  A 27B parameter language model compressed to ternary (1.71 bit) weights, retaining 95% of full precision intelligence while shrinking deployed size to about 7.2 GB. Runs full 27B class reasoning, math, and coding on a standard laptop or single GPU with a 262K token context window.

  💬Chatting💻Coding🔢Math
  NewMultimodal

  Released 18d ago
• Gen 3 Qwen
  Ternary Bonsai 27B GGUF

  By PrismML

  Ternary Bonsai 27B GGUF is a 27B parameter reasoning language model compressed to true 2 bit ternary weights (1.71 bits per weight), derived from a Qwen3.6-27B hybrid attention backbone. It runs in a roughly 7.2GB footprint on laptops, single GPUs, and CPUs via llama.cpp, while retaining strong math, coding, tool use, and long context (262K token) reasoning performance.

  💬Chatting💻Coding🔢Math
  NewMultimodal

  Released 18d ago
• Gen 3 Qwen
  Bonsai 27B mlx 1bit

  By PrismML

  1-bit quantized version of the 27B-parameter Qwen3.6-27B language model, using binary g128 weight representation (1.125 bits per weight) for a ~3.9GB deployed footprint, about 14.2x smaller than FP16. Supports a 262K token context, retains around 89.5% of FP16 accuracy across reasoning, math, coding, and tool-use benchmarks, and runs on-device on phones, laptops, and GPUs via Apple MLX and CUDA.

  💬Chatting💻Coding🔢Math
  NewMultimodal

  Released 18d ago
• Gen 3 Claude
  Claude Sonnet 5

  By Anthropic

  Claude Sonnet 5 is Anthropic's large language model, the most agentic Sonnet released so far. It plans autonomously, uses tools such as browsers and terminals, and sustains long multi step coding and computer use tasks. Its agentic performance on reasoning, tool use, and coding approaches Opus 4.8 while costing less, and it supports selectable effort levels for balancing speed, cost, and capability.

  💬Chatting🤖Task automation🔎Problem solving💻Coding📝Writing assistance
  NewMultimodal

  Released 19d ago
• Gen 7 LongCat
  LongCat 2.0

  By Meituan

  LongCat-2.0 is an open-source MoE language model with 1.6 trillion total parameters (~48B activated per token) and a 1M-token context window. It introduces LongCat Sparse Attention for efficient long-context processing and was pretrained on 35+ trillion tokens using AI ASIC hardware. Strong focus on coding, agentic, and reasoning tasks.

  📚Large Language Models💻Coding🤖Agents🔢Math
  NewText

  Released 19d ago
• Gen 7 Ornith
  Ornith 1.0 397B FP8

  By DeepReinforce

  Ornith-1.0-397B-FP8 is DeepReinforce's open-source 397B MoE agentic coding model with FP8 quantization. Built on Qwen 3.5 and RL-trained to jointly optimize scaffolds and solutions, it achieves state-of-the-art performance on Terminal-Bench 2.1, SWE-Bench, and NL2Repo. Supports reasoning, tool use, and 262K context. MIT licensed.

  💻Coding🐞Debugging🤖Agents
  NewText

  Released 19d ago
• AnnouncementGen 2 Qwen
  Arko T

  By BitInf

  Arko T is a 4B parameter model that converts natural language design requests into executable, parametric CAD programs. Unlike text to 3D systems that output static meshes, it preserves named features, parameters, and construction history so the result is an editable engineering design, not just a rendered shape.

  💻Coding🖌️Product design🖌️3D design🔧Prototyping🛠Engineering design
  NewCoding

  Released 20d ago
• Gen 7 Apertus
  Apertus v1.1 4B Instruct

  By Swiss AI Initiative

  A 4B parameter instruction-tuned language model created via pre-training distillation from the Apertus-8B teacher model. Uses a dense transformer decoder with grouped-query attention and xIELU activations, trained on 1.7T tokens. Natively supports 1811 languages with quantized checkpoints available for mobile and edge deployment. Apache-2.0 licensed.

  💬Chatting💻Coding📝Writing🌍Translations
  NewText

  Released 20d ago
• Closed betaGen 7 GPT
  GPT 5.6 Terra

  By OpenAI

  GPT 5.6 Terra is a balanced model in OpenAI's GPT 5.6 preview series. It offers performance competitive with GPT 5.5 while costing about half as much. Terra shows improved coding and cybersecurity capability that scales with reasoning effort, and is paired with a layered safety and misuse safeguard stack during its limited preview release.

  💬Chatting🐞Debugging💻Coding🔒Cybersecurity🔒AI security
  NewText

  Released 23d ago
• Closed betaGen 7 GPT
  GPT 5.6 Luna

  By OpenAI

  GPT 5.6 Luna is the fast and affordable tier of OpenAI's GPT 5.6 preview series. It is the lowest cost model in the family while still delivering strong capability, including cybersecurity gains that scale with reasoning effort. Luna is released as part of a limited, safeguard paired preview alongside the Sol and Terra models.

  💬Chatting🐞Debugging💻Coding🔒Cybersecurity🔒AI security
  NewText

  Released 23d ago
• Closed betaGen 7 GPT
  GPT 5.6 Sol

  By OpenAI

  GPT-5.6 Sol is OpenAI's flagship model in the GPT-5.6 series. It achieves state-of-the-art performance on coding (Terminal-Bench 2.1), biology (GeneBench v1), and cybersecurity (ExploitBench) benchmarks. Features a new max reasoning effort setting and ultra mode for multi-agent parallelism. Priced at $5/$30 per 1M input/output tokens, currently in limited preview.

  💬Chatting📊Data analysis🔎Problem solving💻Coding🔍Research🔬Scientific research
  NewText

  Released 23d ago
• Gen 7 Ornith
  Ornith 1.0 35B FP8

  By DeepReinforce

  Ornith-1.0-35B-FP8 is an FP8-quantized 35B-parameter mixture-of-experts language model specialized for agentic coding. Built on Qwen3.5 MoE, it is trained with a self-improving RL framework that jointly learns to solve coding tasks and generate the scaffolds guiding those solutions. MIT-licensed and available for self-hosting via vLLM, SGLang, and Transformers.

  💻Coding🤖Agents🎯Code autocompletion
  NewText

  Released 23d ago
• Gen 3 GLM
  GLM 5.2

  By Z.ai

  GLM-5.2 is Z.AI’s high-capability model for complex reasoning, large-scale engineering, agentic coding, and difficult long-horizon development tasks.

  💬Chatting🔎Problem solving💻Coding🤖Agents💻Conversational coding💻Vibe coding
  NewMultimodal

  Released 1mo ago
• Gen 3 Claude
  Claude Fable 5

  By Anthropic

  Claude Fable 5 is Anthropic’s generally available Mythos-class Claude model for frontier reasoning, software engineering, knowledge work, vision, long-horizon tasks, and scientific research, with added safeguards for high-risk domains.

  🚀Productivity🔎Problem solving💻Coding🤖Agents🔍Research🔬Scientific research💻Conversational coding
  NewMultimodal

  Released 1mo ago
• Gen 2
  North Mini Code 1.0

  By Cohere

  North Mini Code 1.0 is Cohere’s Apache 2.0 agentic coding model with 30B total parameters and 3B active parameters, built for repo-level software engineering, terminal agents, local coding, and code generation.

  💻Coding🐞Debugging🤖Agents🔧Code refactoring💻Vibe coding
  NewCoding

  Released 1mo ago
• Gen 7 MiMo
  MiMo V2.5 Pro UltraSpeed

  By Xiaomi

  MiMo-V2.5-Pro-UltraSpeed is Xiaomi MiMo’s 1T-parameter high-speed reasoning model variant built with TileRT to reach 1000+ tokens per second generation on commodity GPU infrastructure.

  💻Coding🔍Code reviews✉️Codebase Q&A
  NewText

  Released 1mo ago
• Gen 2 MAI
  MAI Code 1 Flash

  By Microsoft

  MAI-Code-1-Flash is Microsoft AI’s 5B inference-efficient agentic coding model integrated into GitHub Copilot, VS Code, and the Microsoft stack.

  💻Coding🐞Debugging🔧Code optimization🔧Code refactoring💻Vibe coding
  NewCoding

  Released 1mo ago
• Gen 3
  Agnes 2.0 Flash

  By Agnes AI

  Agnes 2.0 Flash is a fast, cost efficient language model built for high frequency production use. It handles text generation, multi turn conversation, tool calling, coding assistance, agent workflows, and image understanding via image URLs, with an optional Thinking mode for deeper step by step reasoning on complex tasks.

  💬Chatting🤖Task automation💻Coding🤖Agents🔍Image analysis
  NewMultimodal

  Released 1mo ago
• Gen 3 Step
  Step 3.7 Flash

  By StepFun

  StepFun's flagship multimodal reasoning model, a 198B total parameter sparse MoE with 11B active parameters. Natively understands images and video, supports adjustable reasoning effort, and is optimized for agent and coding workflows with reliable tool calling.

  💬Chatting🤖Task automation🎥Video analysis💻Coding🤖Agents🔍Image analysis
  NewMultimodal

  Released 1mo ago
• Gen 3 Grok
  Grok Build 0.1

  By xAI

  Grok Build 0.1 is xAI’s fast coding model for agentic coding, web development, debugging, MCP support, and tool-calling workflows.

  💻Coding🐞Debugging🤖Agents🎯Code autocompletion💻Vibe coding
  NewMultimodal

  Released 1mo ago
• Gen 2
  Mellum2 12B A2.5B Base

  By JetBrains

  Mellum2-12B-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.

  💻Coding🎯Code autocompletion💻Conversational coding
  NewCoding

  Released 1mo ago
• Gen 3 Claude
  Claude Opus 4.8

  By Anthropic

  Claude Opus 4.8 is Anthropic's new flagship model, released May 28, 2026. It improves on Opus 4.7 with stronger coding, more honest self-assessment, and a faster, cheaper fast mode, at the same standard pricing. New features include user-controlled effort levels and Dynamic Workflows for parallel subagents.

  🚀Productivity💵Financial analysis💻Coding🤖Agents🔍Image interpretation
  NewMultimodal

  Released 1mo ago
• Gen 3 Composer
  Composer 2.5

  By Anysphere

  Composer 2.5 is Cursor’s coding-agent model for long-running software tasks, complex instruction following, and agentic coding inside Cursor.

  💻Coding🐞Debugging🔧Code refactoring🔬Test generation💻Vibe coding
  NewMultimodal

  Released 2mo ago
• Gen 3 Julius
  Julius 1.2 Ultra

  By Julius AI

  Most capable model in the Julius 1.2 family, designed for long-horizon tasks, high-reasoning use cases, and intensive research. Handles the most demanding multi-step analytical work. Available exclusively on Max and Ultra Julius plans.

  📊Data analysis📊Data visualization💻Coding📊Spreadsheets📊Reports
  NewMultimodal

  Released 2mo ago
• Gen 3 Julius
  Julius 1.2 Max

  By Julius AI

  Advanced tier in the Julius 1.2 family, designed for complex, multi-step data analysis. Handles demanding analytical tasks involving large datasets and intricate reasoning chains. Writes Python and R code, generates visualizations, and connects to enterprise data sources. Available on paid Julius plans.

  📊Data analysis📊Data visualization💻Coding📊Spreadsheets📊Reports
  NewMultimodal

  Released 2mo ago
• Gen 3 Julius
  Julius 1.2

  By Julius AI

  Standard model in the Julius 1.2 family, purpose-built for everyday data analysis. Handles most analytical questions, writes Python and R code, generates charts, connects to databases and cloud warehouses, and supports multi-step analytical workflows. The recommended default for data work on paid Julius plans.

  📊Data analysis📊Data visualization💻Coding📊Spreadsheets📊Reports
  NewMultimodal

  Released 2mo ago
• Gen 3 Julius
  Julius 1.2 Lite

  By Julius AI

  Lightweight model in the Julius 1.2 family, purpose-built for fast responses to simple data questions and lookups. Optimized for speed on straightforward analytical tasks. Writes Python and R code to process data and generate basic visualizations. Available on all Julius plans including free.

  📊Data analysis📊Data visualization💻Coding📊Spreadsheets📊Reports
  NewMultimodal

  Released 2mo ago
• Gen 3
  ZAYA1 8B

  By Zyphra AI

  ZAYA1-8B is Zyphra’s small mixture-of-experts reasoning model, built for long-form reasoning, mathematics, and coding. It has 8.4B total parameters with 760M active parameters, is post-trained for reasoning, and is positioned as highly intelligence-efficient enough for both strong test-time-compute use and local on-device deployment.

  📚Large Language Models🔎Problem solving💻Coding🔢Math
  NewMultimodal

  Released 2mo ago
• Gen 7 Grok
  Grok 4.3

  By xAI

  Grok 4.3 is xAI’s flagship large language model for high-end reasoning, coding, and agentic workflows. xAI positions it as its most truth-seeking model, with a 1,000,000-token context window and support across the broader xAI API stack for tools, reasoning, and advanced integrations.

  💬Chatting💻Coding🤖Agents💰Finance⚖️Legal🤔Logical reasoning
  NewText

  Released 2mo ago
• Gen 7 ERNIE
  ERNIE 5.1

  By Baidu

  ERNIE-5.1 is Baidu’s new preview flagship language model, built for stronger general text capability, better cost efficiency, and improved creative performance. It is positioned as the top-ranked Chinese model on the LMArena Text leaderboard and as a high-efficiency upgrade over ERNIE-5.0 with much lower training cost at its scale.

  💬Chatting💼Business💻Coding🤖Agents⚖️Legal🔢Math
  NewText

  Released 2mo ago
• Gen 3
  Laguna XS 2

  By poolside

  Laguna XS.2 is poolside’s open 33B MoE coding model for agentic software work on local machines. It uses 3B activated parameters per token, supports native reasoning with interleaved thinking around tool calls, and is designed for long-horizon coding with low KV-cache requirements and Mac-friendly deployment.

  💻Coding🐞Debugging🤖Agents🤔Logical reasoning💻Software engineer assistance💻Vibe coding
  NewMultimodal

  Released 2mo ago
• Gen 3 Mistral
  Mistral Medium 3.5

  By Mistral AI

  Mistral Medium 3.5 is Mistral’s new flagship merged model for instruction following, reasoning, and coding. It is a dense 128B model with a 256K context window, built for long-horizon productivity and agentic work, with configurable reasoning effort and strong self-hosted efficiency.

  💬Chatting💻Coding🤖Agents🤔Logical reasoning🔍Image interpretation
  NewMultimodal

  Released 2mo ago
• Gen 7
  Carnice V2 27B

  By Kai Stephens

  Carnice-V2-27B is a BF16 supervised fine-tune of Qwen3.6-27B for Hermes-style agent traces. It is built for agentic conversational use, instruction following, and tool-oriented workflows, and is released as a fully merged standalone checkpoint rather than only a LoRA adapter.

  🤖Agents🐞Debugging💻Coding🔍Image interpretation
  NewText

  Released 2mo ago
• Gen 3
  Hy3 preview

  By Tencent

  Hy3 Preview is Tencent’s new open-source flagship AI model, built for real-world business use and stronger agentic performance. SCMP reports it has 295B parameters, is Tencent’s most powerful model so far, and is already being deployed in products including Yuanbao and CodeBuddy.

  💬Chatting💻Coding🤖Agents🎩Sophisticated reasoning
  NewMultimodal

  Released 2mo ago
• Gen 7 MiMo
  MiMo V2.5 Pro

  By Xiaomi

  MiMo-V2.5-Pro is Xiaomi’s latest agentic language model, built for stronger long-horizon coherence, complex software engineering, and autonomous tool-using workflows. It is positioned as Xiaomi’s most capable model so far, with better instruction following in agent settings, stronger ultra-long-context consistency, and support for very long tool-use trajectories.

  💻Coding🔍Code reviews✉️Codebase Q&A🤖Agents🎩Sophisticated reasoning
  NewText

  Released 2mo ago
• Gen 3 Qwen
  Qwen 3.6 27B

  By Alibaba

  Qwen3.6-27B is Qwen’s open-weight multimodal model for coding, agent workflows, long-context reasoning, and vision-language tasks. It combines a 27B causal language model with a vision encoder, supports image-text-to-text use, and offers a native 262,144-token context window extendable to about 1.01M tokens.

  💬Chatting💻Coding🤖Agents🔍Image interpretation🎩Sophisticated reasoning💻Vibe coding
  NewMultimodal

  Released 2mo ago
• Gen 7 Ling
  Ling 2.6 flash

  By AntGroup

  Ling-2.6-Flash is Ant Ling’s high-efficiency instruct language model, built for strong real-agent performance with lower token usage and lower deployment cost. From the launch post in your screenshot, it has 104B total parameters with 7.4B active parameters and is positioned for better throughput, lower cost, and more efficient large-scale deployment

  💬Chatting💻Coding🤖Agents📄Document processing
  NewText

  Released 2mo ago
• Gen 3 Qwen
  Qwen 3.6 Max Preview

  By Alibaba

  Qwen 3.6 Max Preview appears to be Alibaba’s newest preview flagship in the Qwen line, positioned above Qwen3.6-Plus and aimed at top-end coding, world knowledge, and instruction-following performance. I could not read the exact official blog page you linked directly, so I’m relying on current public reporting for this description.

  💬Chatting💻Coding🤖Agents🎩Sophisticated reasoning💻Vibe coding
  NewMultimodal

  Released 2mo ago
• Gen 3 Kimi
  Kimi K2.6

  By Moonshot AI

  Kimi-K2.6 is Moonshot AI’s open-source native multimodal agentic model, built for long-horizon coding, coding-driven design, proactive autonomous execution, and large-scale multi-agent orchestration. It uses a MoE architecture with 1T total parameters, 32B active parameters, a 256K context window, and a MoonViT vision encoder.

  💬Chatting💻Coding🤖Agents🔍Image interpretation🎩Sophisticated reasoning💻Vibe coding
  NewMultimodal

  Released 2mo ago
• Gen 3 Claude
  Claude Opus 4.7

  By Anthropic

  Claude Opus 4.7 is Anthropic’s latest generally available frontier model, tuned for advanced software engineering, long-running autonomous tasks, stronger instruction following, and better high-resolution vision. It is positioned as a clear upgrade over Opus 4.6, especially for difficult coding work, while keeping the same pricing.

  💬Chatting💵Financial analysis💻Coding🤖Agents🔍Image interpretation
  Multimodal

  Released 3mo ago
• Gen 3 Qwen
  Qwen 3.6 35B A3B

  By Alibaba

  Qwen3.6-35B-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.

  💻Coding🤖Agents🔍Image interpretation🔢Math💻Conversational coding
  Multimodal

  Released 3mo ago
• Gen 7
  Windsurf 2.0

  By Cognition AI

  Windsurf 2.0 is Cognition’s upgraded agentic coding workspace centered on local and cloud agents working together. It introduces an Agent Command Center for managing parallel work across repos and environments, and adds Devin integration inside Windsurf, aiming to make software development more orchestration-driven and less tied to a single editor session.

  💻Coding🤖Task automation🔄Workflow optimization
  Text

  Released 3mo ago