Upload aicodingmodels.csv

aicodingmodels.csv

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+Month,Model Name,Company,URL,Description
+May 2026,GPT-5.5 Instant,OpenAI,https://openai.com?utm_source=ai-coding-landscape,"became ChatGPT default May 5, 2026; replaced GPT-5.4 Instant as the default-tier model hundreds of millions of users interact with daily"
+May 2026,Gemini 3.5 Flash,Google DeepMind,https://blog.google/innovation-and-ai/technology/developers-tools/google-ai-studio-io-2026/?utm_source=ai-coding-landscape,announced at Google I/O 2026 (May 19); co-developed with Antigravity and powers Antigravity 2.0
+May 2026,Qwen3 Coder Next,Alibaba Cloud,https://qwen.ai?utm_source=ai-coding-landscape,"listed May 18, 2026 on LLM Gateway; code-specialist variant in the Qwen3 family designed for long-context repo-scale reasoning"
+May 2026,Gemini 3.1 Flash Lite,Google DeepMind,https://deepmind.google/models/gemini/flash-lite/?utm_source=ai-coding-landscape,"hit AI gateways May 8, 2026; default-tier successor"
+May 2026,Zyphra ZAYA1-8B,Zyphra,https://www.zyphra.com?utm_source=ai-coding-landscape,May 2026; 8B MoE trained on AMD hardware
+April 2026,Claude Opus 4.7,Anthropic,https://www.anthropic.com/news/claude-opus-4-7?utm_source=ai-coding-landscape,"most capable generally available model; scores 87.6% on SWE-bench Verified and 64.3% on SWE-bench Pro; excels at long-horizon agentic tasks complex multi-step coding and professional knowledge work; adds high-resolution vision (2,576px); new adaptive thinking and configurable effort levels including xhigh mode; 1M token context window; first Opus model with automated cybersecurity safeguards"
+April 2026,Gemma 4,Google DeepMind,https://deepmind.google/models/gemma/?utm_source=ai-coding-landscape,"four open-weight variants (E2B through 31B Dense) released April 2 under Apache 2.0; 31B Dense scores 80% on LiveCodeBench v6 and 89.2% on AIME 2026; natively multimodal with function calling and agentic workflow support; Codeforces ELO jumped from 110 in Gemma 3 to 2,150"
+April 2026,Meta Muse Spark,Meta,https://ai.meta.com/muse-spark/?utm_source=ai-coding-landscape,released April 8 from Meta Superintelligence Labs; Meta's first proprietary (non-open-source) model; scores 52 on the Artificial Analysis Intelligence Index (vs. Llama 4 Maverick's 18); leads all models on CharXiv Reasoning at 86.4%; available free on meta.ai in Instant and Thinking modes
+April 2026,DeepSeek V4 Pro,DeepSeek,https://huggingface.co/deepseek-ai/DeepSeek-V4-Pro?utm_source=ai-coding-landscape,"released April 24; 1.6T total / 49B active parameters, new architecture and largest DeepSeek model to date; hybrid thinking/non-thinking; 1M token context window; #2 open-weight reasoning model on Artificial Analysis Intelligence Index; leads open-weight models on GDPval-AA agentic work tasks; MIT license"
+April 2026,DeepSeek V4 Flash,DeepSeek,https://huggingface.co/deepseek-ai/DeepSeek-V4-Flash?utm_source=ai-coding-landscape,"released April 24; 284B total / 13B active parameters; DeepSeek's first two-tier lineup with Flash positioned for fast, low-cost inference; one of the cheapest small frontier models available; MIT license"
+April 2026,GPT-5.5,OpenAI,https://openai.com/index/introducing-gpt-5-5/?utm_source=ai-coding-landscape,"released April 23; smartest and most intuitive model yet, excels at agentic coding, computer use, and knowledge work; more token-efficient than GPT-5.4 for most Codex tasks while matching per-token latency; 82.7% on Terminal-Bench 2.0"
+April 2026,Kimi K2.6,Moonshot AI,https://forum.moonshot.ai/t/meet-kimi-k2-6-advancing-open-source-coding/369?utm_source=ai-coding-landscape,"released April 20; open-weight 1T-parameter MoE with 32B active parameters; first open-weight model to beat GPT-5.4 (xhigh) on SWE-Bench Pro; 80.2% on SWE-Bench Verified, 58.6% on SWE-Bench Pro; supports 4,000+ tool calls and 12+ hour continuous execution; strong cross-language generalization across Rust, Go, Python, and front-end; 256K context window"
+April 2026,MiniMax M2.7,MiniMax,https://www.minimaxi.com/en/news?utm_source=ai-coding-landscape,released April 13; self-evolving capabilities via production feedback loops; 56.22% on SWE-Bench Pro; most cost-efficient option in its performance tier at ~$0.30/M input tokens; 200K context window
+April 2026,GLM-5.1,Z.ai (Zhipu AI),https://www.zhipuai.cn/en?utm_source=ai-coding-landscape,"released April 7; 754B MoE; 58.4% on SWE-Bench Pro; Code Arena Elo of 1,530, third globally on agentic web development leaderboard; strong front-end component generation; MIT license"
+March 2026,GPT-5.4,OpenAI,https://openai.com/index/introducing-gpt-5-4/?utm_source=ai-coding-landscape,most capable and efficient frontier model for professional work; first mainline model to incorporate GPT-5.3-Codex's coding capabilities; adds native computer use (75% on OSWorld surpassing the 72.4% human expert baseline); 1M token context window; scores 83% on GDPval and ~80% on SWE-bench Verified; rolled out March 5
+March 2026,GPT-5.4 mini & nano,OpenAI,https://openai.com/index/introducing-gpt-5-4-mini-and-nano/?utm_source=ai-coding-landscape,smaller efficient variants released March 17; mini approaches GPT-5.4-level coding performance at ~6x lower cost; nano targets classification data extraction and lightweight coding subagents; both optimized for fast iteration in coding workflows
+March 2026,NVIDIA Nemotron 3 Super,NVIDIA,https://blogs.nvidia.com/blog/nemotron-3-super-agentic-ai/?utm_source=ai-coding-landscape,120B parameter open-weight hybrid Mamba-Transformer MoE (12B active per token) released at GTC March 11; sets new open-weight record of 60.47% on SWE-bench Verified; 1M token context window; 5x higher throughput than prior generation; fully open — weights datasets and training recipes released
+March 2026,Mistral Small 4,Mistral AI,https://mistral.ai/news/mistral-small-4?utm_source=ai-coding-landscape,119B parameter MoE (6B active per token) released March 16; unifies Magistral (reasoning) Pixtral (multimodal) Devstral (agentic coding) and Mistral Small (instruct) into a single model; configurable reasoning effort per request; 256K context window; Apache 2.0 license
+March 2026,GLM-5.1,Z.ai (Zhipu AI),https://huggingface.co/zai-org/GLM-5.1?utm_source=ai-coding-landscape,coding-optimized iteration of GLM-5 (744B MoE 40B active) released March 27; achieves 94.6% of Claude Opus 4.6's coding benchmark performance; MIT license; GLM Coding Plan starts at $3/month
+February 2026,Gemini 3.1 Pro,Google DeepMind,https://blog.google/innovation-and-ai/models-and-research/gemini-models/gemini-3-1-pro/?utm_source=ai-coding-landscape,upgraded core intelligence for the Gemini 3 series; scores 77.1% on ARC-AGI-2 (more than double Gemini 3 Pro) and 80.6% on SWE-bench Verified; 1M token context window with 65K output; ranked #1 on Artificial Analysis Intelligence Index at launch
+February 2026,Claude Sonnet 4.6,Anthropic,https://www.anthropic.com/news/claude-sonnet-4-6?utm_source=ai-coding-landscape,"leads GDPval-AA Elo benchmark for real expert-level work with 1,633 points; preferred over previous Sonnet 70% of the time in Claude Code testing; 1M token context window (beta); default model on Claude.ai free and pro plans and powering GitHub Copilot's coding agent"
+February 2026,GPT-5.3-Codex-Spark,OpenAI,https://openai.com/index/introducing-gpt-5-3-codex-spark/?utm_source=ai-coding-landscape,"research preview of OpenAI's first model designed for real-time ultra-fast coding; powered by Cerebras Wafer Scale Engine 3 delivering more than 1,000 tokens per second; 58.4% accuracy on Terminal-Bench 2.0; 128k context window"
+February 2026,Qwen3.5,Alibaba Cloud,https://qwen.ai/blog?id=qwen3.5&utm_source=ai-coding-landscape,397B parameter native vision-language model with only 17B active per forward pass via hybrid linear attention and sparse MoE; 76.4% on SWE-bench Verified 52.5% on Terminal-Bench 2; 1M context window; multilingual support expanded from 119 to 201 languages; 8.6x decoding throughput vs. prior generation
+February 2026,Zhipu AI GLM-5,Z.ai (Zhipu AI),https://docs.z.ai/guides/llm/glm-5?utm_source=ai-coding-landscape,flagship MoE model with 745B total parameters (44B active) designed for Agentic Engineering; achieves SOTA performance for open-source models narrowing the gap with Claude Opus 4.5; 200k token context window; MIT license; trained on Huawei Ascend infrastructure
+February 2026,MiniMax 2.5,MiniMax,https://platform.minimax.io/docs/guides/models-intro?utm_source=ai-coding-landscape,peak-performance model optimized for end-to-end developer workflows including multi-file edits and test-validated repairs; 80.2% score on SWE-Bench; 37% faster than comparable frontier models; 200k context window; thinking mode for complex logic
+February 2026,Claude Opus 4.6,Anthropic,https://www.anthropic.com/news/claude-opus-4-6?utm_source=ai-coding-landscape,improved coding skills including better planning sustained agentic tasks operation in larger codebases and enhanced code review and debugging; first Opus-class model with 1M token context window (beta); SOTA on Terminal-Bench 2.0 Humanity's Last Exam GDPval-AA and BrowseComp
+February 2026,GPT-5.3-Codex,OpenAI,https://openai.com/index/introducing-gpt-5-3-codex/?utm_source=ai-coding-landscape,most capable agentic coding model combining GPT-5.2-Codex coding performance with GPT-5.2 reasoning capabilities in a single model that's 25% faster; handles long-running tasks involving research tool use and complex execution; first OpenAI model to help create itself
+January 2026,SERA-32B,Ai2,https://huggingface.co/allenai/SERA-32B?utm_source=ai-coding-landscape,"first model in Ai2's Open Coding Agents series; achieves 49.5% on SWE-bench Verified; trained using Soft Verified Generation (SVG) 26x cheaper than RL and 57x cheaper than previous synthetic data methods; total training cost approximately $2,000 (40 GPU-days)"
+January 2026,Kimi K2.5,Moonshot AI,https://huggingface.co/moonshotai/Kimi-K2.5?utm_source=ai-coding-landscape,"Open-Source Visual Agentic Intelligence; Global SOTA on Agentic Benchmarks: HLE full set (50.2%) BrowseComp (74.9%); Open-source SOTA: MMMU Pro (78.5%) VideoMMMU (86.6%) SWE-bench Verified (76.8%); Agent Swarm (Beta): up to 100 sub-agents 1,500 tool calls 4.5× faster vs. single-agent"
+January 2026,GLM-4.7-Flash,Z.ai,https://huggingface.co/zai-org/GLM-4.7-Flash?utm_source=ai-coding-landscape,a local coding and agentic assistant setting a new standard for the 30B class; balancing high performance with efficiency; also recommended for creative writing translation long-context tasks and roleplay
+December 2025,M2.1,MiniMax,https://huggingface.co/MiniMaxAI/MiniMax-M2.1?utm_source=ai-coding-landscape,open-source AI model with 10 billion activated parameters (230 billion total); scores 74.0 on SWE-bench Verified and 91.5 on VIBE-Web benchmarks; excels in multi-language programming (Rust Java Go C++ TypeScript) and UI development
+December 2025,GLM-4.7,Z.ai,https://huggingface.co/zai-org/GLM-4.7?utm_source=ai-coding-landscape,optimized for AI coding assistance; major improvements over GLM-4.6 including 5.8% gain on SWE-bench and 12.9% on multilingual coding; improvements in UI/webpage generation tool usage and complex reasoning
+December 2025,GPT-5.2-Codex,OpenAI,https://openai.com/index/introducing-gpt-5-2-codex/?utm_source=ai-coding-landscape,most advanced agentic coding model for complex real-world software engineering; optimized version of GPT‑5.2 for agentic coding in Codex; improvements on long-horizon work through context compaction stronger performance on refactors and migrations; significantly stronger cybersecurity capabilities
+December 2025,Gemini 3 Flash,Google,https://blog.google/products/gemini/gemini-3-flash/?utm_source=ai-coding-landscape,delivers high-speed pro-grade reasoning and outperforms even the Pro model in coding benchmarks; ideal for low-latency agentic workflows and complex multimodal tasks like video analysis and real-time data extraction
+December 2025,GPT‑5.2 Thinking,OpenAI,https://openai.com/index/introducing-gpt-5-2/?utm_source=ai-coding-landscape,sets a new state of the art of 55.6% on SWE-Bench Pro; can more reliably debug production code implement feature requests refactor large codebases and ship fixes end-to-end with less manual intervention
+December 2025,Devstral 2,Mistral AI,https://mistral.ai/news/devstral-2-vibe-cli?utm_source=ai-coding-landscape,next-generation coding model family in two sizes: Devstral 2 (123B) and Devstral Small 2 (24B); sets the open SOTA for code agents; Devstral 2 ships under modified MIT license Devstral Small 2 under Apache 2.0
+December 2025,rnj-1-instruct,Essential AI,https://huggingface.co/EssentialAI/rnj-1-instruct?utm_source=ai-coding-landscape,trained from scratch and optimized for code and STEM with capabilities on par with SOTA open-weight models; strong agentic capabilities (e.g. inside agentic frameworks like mini-SWE-agent); excels at tool-calling
+November 2025,Claude Opus 4.5,Anthropic,https://www.anthropic.com/news/claude-opus-4-5?utm_source=ai-coding-landscape,intelligent efficient and the best model in the world for coding agents and computer use; meaningfully better at everyday tasks like deep research and working with slides and spreadsheets
+November 2025,GPT-5.1-Codex-Max,OpenAI,https://openai.com/index/gpt-5-1-codex-max/?utm_source=ai-coding-landscape,update to foundational reasoning model trained on agentic tasks across software engineering math research and more; faster more intelligent and more token-efficient
+November 2025,Gemini 3,Google,https://blog.google/technology/developers/gemini-3-developers/?utm_source=ai-coding-landscape,most intelligent model delivers unparalleled results across every major AI benchmark; surpasses 2.5 Pro at coding mastering both agentic workflows and complex zero-shot tasks
+November 2025,Doubao-Seed-Code,ByteDance Volcengine,https://news.aibase.com/news/22712?utm_source=ai-coding-landscape,achieves breakthroughs in performance price and migration cost; deeply integrated with the TRAE development environment
+November 2025,GPT-5-Codex-Mini,OpenAI,https://x.com/OpenAIDevs/status/1986861736041853368?s=20&utm_source=ai-coding-landscape,allows roughly 4x more usage than GPT-5-Codex at a slight capability tradeoff due to the more compact model
+November 2025,Mercury Coder,Inception Labs,https://docs.inceptionlabs.ai/get-started/models?utm_source=ai-coding-landscape,dLLM optimized to accelerate coding workflows; streaming tool use and structured output with 128K context window
+October 2025,Composer,Cursor,https://cursor.com/blog/2-0?utm_source=ai-coding-landscape,4x faster than similarly intelligent models and built for low-latency agentic coding
+October 2025,SWE-1.5,Windsurf Cognition,https://cognition.ai/blog/swe-1-5?utm_source=ai-coding-landscape,a fast-agent frontier-size model with hundreds of billions of parameters that achieves near-SOTA coding performance; 6x faster than Haiku 4.5 and 13x faster than Sonnet 4.5
+October 2025,CoDA-1.7B,Salesforce AI Research,https://huggingface.co/Salesforce/CoDA-v0-Base?utm_source=ai-coding-landscape,diffusion-based language model designed for powerful code generation and bidirectional context understanding
+October 2025,KAT-Dev-72B-Exp,Kawaipilot,https://huggingface.co/Kwaipilot/KAT-Dev-72B-Exp?utm_source=ai-coding-landscape,an open-source 72B-parameter model for software engineering tasks; achieves 74.6% accuracy on SWE-Bench Verified when evaluated strictly with the SWE-agent scaffold
+September 2025,Code World Model (CWM),AI at Meta,https://huggingface.co/facebook/cwm?utm_source=ai-coding-landscape,LLM for code generation and reasoning trained to better represent and reason how code and commands affect the state of a program or system
+September 2025,DeepSeek-V3.2-Exp,DeepSeek,https://huggingface.co/deepseek-ai/DeepSeek-V3.2-Exp?utm_source=ai-coding-landscape,experimental sparse-attention upgrade that halves inference cost while retaining strong code-generation and long-context reasoning
+September 2025,GLM-4.6,Z.ai,https://huggingface.co/zai-org/GLM-4.6?utm_source=ai-coding-landscape,features a longer context window superior coding performance advanced reasoning more capable agents and refined writing versus GLM-4.5
+September 2025,Claude Sonnet 4.5,Anthropic,https://www.anthropic.com/news/claude-sonnet-4-5?utm_source=ai-coding-landscape,the strongest model for building complex agents the best model at using computers; shows substantial gains on tests of reasoning and math
+September 2025,Qwen3-Max-Instruct,Alibaba Cloud,https://qwen.ai/blog?id=241398b9cd6353de490b0f82806c7848c5d2777d&from=research.latest-advancements-list&utm_source=ai-coding-landscape,the official release further elevates its capabilities — particularly in coding and agent performance
+September 2025,GPT‑5-Codex,OpenAI,https://openai.com/index/introducing-upgrades-to-codex/?utm_source=ai-coding-landscape,a version of GPT‑5 further optimized for agentic coding in Codex and trained with a focus on real-world software engineering work
+September 2025,Kimi K2-Instruct-0905,Moonshot AI,https://huggingface.co/moonshotai/Kimi-K2-Instruct-0905?utm_source=ai-coding-landscape,updated SOTA model with improved agentic and frontend capabilities and increased context length
+August 2025,GPT-5,OpenAI,https://platform.openai.com/docs/models?utm_source=ai-coding-landscape,flagship model
+August 2025,GPT-5-mini,OpenAI,https://platform.openai.com/docs/models?utm_source=ai-coding-landscape,fast/cost efficient
+August 2025,GPT-5-nano,OpenAI,https://platform.openai.com/docs/models?utm_source=ai-coding-landscape,faster/cost efficient
+August 2025,Claude Opus 4.1,Anthropic,https://www.anthropic.com/claude/opus?utm_source=ai-coding-landscape,a drop-in replacement for Opus 4
+August 2025,Mistral Medium 3.1,Mistral AI,https://x.com/MistralAI/status/1955316715417382979?utm_source=ai-coding-landscape,aka Mistral-Medium-2508 - enterprise-grade model excels in coding tasks
+August 2025,Grok Code Fast 1,xAI,https://x.ai/news/grok-code-fast-1?utm_source=ai-coding-landscape,a speedy and economical reasoning model that excels at agentic coding efficient code generation and execution
+July 2025,Qwen3-Coder,Alibaba Cloud,https://huggingface.co/Qwen/Qwen3-Coder-480B-A35B-Instruct?utm_source=ai-coding-landscape,agentic code model
+July 2025,Qwen3-Coder-Flash,Alibaba Cloud,https://huggingface.co/Qwen/Qwen3-Coder-30B-A3B-Instruct?utm_source=ai-coding-landscape,streamlined non thinking agentic code model
+July 2025,Kimi K2,Moonshot AI,https://moonshotai.github.io/Kimi-K2/?utm_source=ai-coding-landscape,1 T-param MoE
+July 2025,GLM-4.5,Z.ai,https://z.ai/blog/glm-4.5?utm_source=ai-coding-landscape,An open-source LLM designed for intelligent agents
+July 2025,Codestral 25.08,Mistral AI,https://mistral.ai/news/codestral?utm_source=ai-coding-landscape,code model for high-precision fill-in-the-middle (FIM) completion
+July 2025,Devstral Medium 2507,Mistral × All Hands AI,https://mistral.ai/news/devstral-2507?utm_source=ai-coding-landscape,high-quality and cost-effective model
+July 2025,Devstral Small 1.1 2507,Mistral × All Hands AI,https://mistral.ai/news/devstral-2507?utm_source=ai-coding-landscape,agentic model
+July 2025,Grok 4,xAI,https://x.ai/grok?utm_source=ai-coding-landscape,trained with reinforcement learning for native tool use including code interpreters making it highly capable for coding and advanced reasoning tasks
+June 2025,Gemini 2.5 Pro,Google DeepMind,https://deepmind.google/models/gemini/pro/?utm_source=ai-coding-landscape,flagship model
+June 2025,Gemini 2.5 Flash,Google DeepMind,https://deepmind.google/models/gemini/pro/?utm_source=ai-coding-landscape,fast/cost efficient with thinking capabilities
+May 2025,Claude Opus 4,Anthropic,https://www.anthropic.com/claude/opus?utm_source=ai-coding-landscape,pushes the frontier in coding agentic search and creative writing
+May 2025,Claude Sonnet 4,Anthropic,https://www.anthropic.com/claude/sonnet?utm_source=ai-coding-landscape,improves on Claude Sonnet 3.7 across a variety of areas especially coding
+May 2025,DeepSeek-R1-0528,DeepSeek,https://huggingface.co/deepseek-ai/DeepSeek-R1-0528?utm_source=ai-coding-landscape,OSS reasoning model
+April 2025,o3,OpenAI,https://platform.openai.com/docs/models?utm_source=ai-coding-landscape,preview reasoning model
+April 2025,o4-mini,OpenAI,https://platform.openai.com/docs/models?utm_source=ai-coding-landscape,compact model
+April 2025,GPT-4.1,OpenAI,https://platform.openai.com/docs/models?utm_source=ai-coding-landscape,flagship model with 1M token context window
+April 2025,Llama 4 Maverick,Meta,https://llama.meta.com/get-started/?utm_source=ai-coding-landscape,code-tuned model
+April 2025,Llama 4 Scout,Meta,https://llama.meta.com/get-started/?utm_source=ai-coding-landscape,open-weight model
+April 2025,Mellum,JetBrains,https://huggingface.co/JetBrains/Mellum-4b-base?utm_source=ai-coding-landscape,4-B param OSS model
+March 2025,DeepSeek-V3-0324,DeepSeek,https://huggingface.co/deepseek-ai/DeepSeek-V3-0324?utm_source=ai-coding-landscape,improved V3 version
+February 2025,Gemini 2.0 Flash,Google DeepMind,https://blog.google/technology/google-deepmind/gemini-model-updates-february-2025/?utm_source=ai-coding-landscape,multimodal for high-volume high-frequency tasks
+February 2025,Claude 3.7 Sonnet,Anthropic,https://www.anthropic.com/news/claude-3-7-sonnet?utm_source=ai-coding-landscape,first hybrid reasoning model and state-of-the art for coding
+February 2025,Grok 3,xAI,https://x.ai/grok?utm_source=ai-coding-landscape,coding capable model
+SOURCE,joylarkin/AI-Coding-Landscape,,https://github.com/joylarkin/AI-Coding-Landscape?utm_source=ai-coding-landscape,"The 2026 AI Coding Landscape - Coding agents, CLIs, IDEs, AI app builders, devtools, and more"
+