Reasoning
Claude Fable 5.1
Anthropic
The top tier of the Claude family, for the most demanding reasoning and long-horizon agent work, priced above Opus.
- Anthropic
- Vision
- Tool calling
AI model category
Coding AI models
For writing, reviewing and explaining code, and for agents that work across a codebase.
- 14 models
Coding models write functions, explain unfamiliar code, draft tests and, in agent setups, make changes across many files. We use them every day in our own AI-accelerated development, always with a senior engineer reviewing the result.
For product features, such as generating queries or scripts for users, the same models apply, with stricter limits on what the generated code may do.
Coding
All coding ai models
Reasoning
Claude Opus 5.5
Anthropic
Anthropic's recommended starting point for most serious work: long-running agentic coding and knowledge work, with a 1M token context window.
- Anthropic
- Vision
- Tool calling
General purpose
Claude Sonnet 5
Anthropic
Anthropic's balance of speed and intelligence: a strong everyday model for assistants, document work, tool calling and coding.
- Anthropic
- Vision
- Tool calling
Reasoning
Gemini 3.1 Pro
Google's most advanced Gemini model for reasoning, software engineering and agent work, reading text, images, audio, video and PDFs. Available as a preview.
- Vision
- Tool calling
General purpose
Gemini 3.8 Flash
Google's most capable Flash model, stable since September 2026, for agents, software engineering and enterprise workflows with full multimodal input.
- Vision
- Tool calling
Open weights
Mistral Small 4
Mistral AI
Mistral's efficient open-weight model under Apache 2.0, one hybrid model for instructions, reasoning and coding, with tool calling and a 256K window.
- Mistral AI
- Open weights
- Tool calling
Coding
Mistral Medium 3.5
Mistral AI
A newer open-weight Mistral model for agent and coding work, with image input, tool calling, structured outputs and a 256K window.
- Mistral AI
- Open weights
- Vision
- Tool calling
Coding
Codestral 25.08
Mistral AI
Mistral's low-latency coding model for code completion and generation, with fill-in-the-middle support, tool calling and a 128K window.
- Mistral AI
- Tool calling
Reasoning
GPT-6 Astra
OpenAI
OpenAI's most capable model, built for the hardest end-to-end work: complex reasoning, coding, computer use and research.
- OpenAI
- Vision
- Tool calling
General purpose
GPT-6 Sol
OpenAI
The middle model of the GPT-6 family, positioned for complex coding and agentic workflows at a mid price level.
- OpenAI
- Vision
- Tool calling
Reasoning
DeepSeek V4 Pro
DeepSeek
DeepSeek's model for demanding reasoning and agent work, with thinking effort levels, tool calling, JSON output and a 1 million token window.
- DeepSeek
- Open weights
- Tool calling
Reasoning
Qwen3.8-Max
Alibaba Cloud
Alibaba's current Qwen flagship for long autonomous coding and professional work, with image and video input, tool calling, JSON Schema output and a 1 million token window.
- Alibaba Cloud
- Vision
- Tool calling
Coding
Qwen3-Coder
Alibaba Cloud
Qwen's open-weight coding models under Apache 2.0, from the efficient Qwen3-Coder-Next to the large 480B model, with tool use and long context.
- Alibaba Cloud
- Open weights
- Tool calling
Reasoning
Grok 4.7
xAI
xAI's current flagship for coding, agent tasks and knowledge work, with image input, tool calling, structured outputs, reasoning effort levels and a 500K window.
- xAI
- Vision
- Tool calling
How to choose
How to choose in this category
Test on your own codebase and languages, not on public examples. Check how the model handles long files, how well it follows your conventions and whether it works with the tools your team uses. For code that runs in production, plan for review and tests regardless of the model.
Other categories
Browse other categories
Keep exploring
Related on ExecMedia
Related services
View all related services- AI copilots AI helpers built into your product or internal tools that draft, summarize and suggest while people decide.
- AI agents AI that takes actions in your systems, such as qualifying leads or processing requests, with people checking the results.
- MVP development A first version with just enough features to put in front of real users and learn what to build next.
- API development Well-documented APIs that let your product talk to apps, partners and AI tools reliably.
- Legacy modernization Replace an aging system step by step, with the business running normally while the new parts take over.
Solutions
View all solutions- Internal help desk assistant An assistant in Slack or Teams that answers policy and how-to questions from your handbooks and opens tickets when needed.
- AI automation and integrations Connect the tools you already use so data moves once, correctly, and AI reads the parts that arrive as text or documents.
- Payroll automation Turn pay rules, attendance and leave into tested software so the monthly run becomes a review and payslips go out in one batch.
MCP servers
View all mcp servers- Developer tools Servers for code hosting, version control, files, containers, error tracking and documentation lookup.
- Context7 Upstash's Context7 MCP server gives coding assistants current, version-specific documentation for thousands of libraries.
- Docker A community MCP server that lets AI list, run, stop and remove Docker containers and manage images, networks and volumes.
- Everything The MCP project's Everything server is a test server that shows every protocol feature. For building and testing MCP clients only.
- Filesystem The MCP project's Filesystem reference server lets AI read, write, edit, move and search files, only inside folders you allow.
- Git The MCP project's Git reference server lets AI read history and diffs and stage, commit and switch branches in a local repository.
Glossary terms
View all glossary terms- AI copilot An AI copilot is an assistant built into a tool people already use, which suggests, drafts and explains while the person stays in control.
- Claude Code Claude Code is Anthropic's agentic coding tool, which works in a developer's terminal, IDE, desktop app or browser to read code, run commands and make changes.
- Function calling Function calling is a model feature that lets an AI model request a specific function, with structured inputs, for the application to run.