Best AI for coding: compare 9 agents
Start with OpenCode if you want to keep your editor and choose between model providers. Choose Cursor if an integrated editor and completion workflow are your priority. Choose Claude Code if your team already works in Anthropic’s coding environment and wants to keep that account workflow.
For a GitHub-centered team, include Copilot; for a Git-focused terminal loop, include Aider. The table below covers all nine options, followed by setup paths and the tradeoffs behind these recommendations. These are editorial recommendations based on documented workflows, not benchmark rankings.
Compare the workflow you need
| Tool | Documented entry point | What to verify for your use |
|---|---|---|
| OpenCode | Coding agent with terminal and other interfaces; multiple model providers | Provider credentials, model compatibility, permissions and inference charges |
| Claude Code (opens in a new tab) | Anthropic coding agent in terminal, IDE, desktop and browser | Which account or provider your chosen interface supports |
| Cursor (opens in a new tab) | Editor, agent and CLI documentation | Editor workflow, completion features, model access and plan limits |
| GitHub Copilot (opens in a new tab) | Code suggestions, chat and agent workflows integrated with GitHub | Client support, organization policies and the features included in your plan |
| Aider (opens in a new tab) | Terminal-based coding with model and Git configuration | Supported provider, repository workflow and model cost |
| Cline (opens in a new tab) | Coding agent with configurable model access | Supported interface, approval settings and provider billing |
| Gemini CLI (opens in a new tab) | Terminal agent with authentication and model-selection documentation | Authentication route, account eligibility and current quota |
| Continue (opens in a new tab) | Agent and development-workflow tooling | Which current product surface and model configuration match your project |
| Cascade (opens in a new tab) | Agent with code/chat modes in Devin Desktop | Current product, plan and model availability; older Windsurf documentation redirects here |
The table is grouped by workflow. Account limits and supported interfaces vary; the product links provide the relevant primary documentation.
Best AI for coding by use case
The useful shortlist depends on how you work. Start with the row that describes your task, then test two candidates. These are workflow choices, not measured performance rankings.
| Your priority | Candidates to investigate | A useful first test |
|---|---|---|
| Switch between model providers | OpenCode, Aider | Run the same bounded change with two configured models |
| Use Anthropic's coding product | Claude Code; compare OpenCode with native Anthropic access | Follow the Claude setup guide, then compare the same task |
| Stay in an editor | Cursor, Copilot, Cline, Continue; OpenCode's editor integration | Review selected-file context and inline changes using the IDE workflow |
| Start with little or no inference spend | A hosted free allowance or a local model | Compare free coding options and their actual limits |
| Keep control over model hosting | A client connected to a local or organization-managed endpoint | Check provider setup and all additional network paths |
| Automate a repeatable repository task | A CLI or repository integration | Start with a reviewed CLI command before adding CI credentials |
Nine tools: where to start
OpenCode
OpenCode is a useful candidate when you want a single coding client with several model providers. Start with installation, connect one provider and select a model. Zen offers an optional hosted model catalog with per-token pricing. You can also connect another provider.
Its practical setup includes project rules, agents, tool permissions and MCP servers. Add these only as the task requires them. OpenCode's flexible configuration is useful when you need it, but a working model connection should come before a large integration setup.
Claude Code
Consider Claude Code when Anthropic's account and development workflow fit your team. Check which interface supports your intended account or provider. The OpenCode vs Claude Code comparison walks through configuration migration and billing; the Claude model guide covers access through OpenCode.
Cursor
Consider Cursor when editor interaction is central to your day. Test completion, agent edits and review on a real file rather than judging only a chat answer. If you also use OpenCode, the Cursor comparison explains how to try both in one editor without having two agents edit the same work simultaneously.
GitHub Copilot
Use the official Copilot reference in the table to identify the features available in your editor and organization. For an existing GitHub workflow, compare the point at which you want assistance: while editing, during a repository task, or in review. OpenCode's GitHub integration is a separate option for repository automation, with its own credentials and permissions.
Aider
For a terminal-focused workflow, include Aider in your trial. Check how you select files, review a change and account for model usage. Compare that loop with OpenCode's TUI, keeping the repository task and model as similar as possible.
Cline
For Cline, test the interaction between model configuration, requested actions and your review process in the supported interface. When moving a workflow to OpenCode, configure tools and approval rules explicitly; an approval choice in another client does not transfer automatically.
Gemini CLI
Gemini CLI is another terminal candidate. Its authentication method affects account eligibility and quota, so check the official documentation in the table before planning a workload around free usage. For an OpenCode comparison using a Google provider, follow the provider guide.
Continue
Explore Continue when its current development surfaces and model configuration match the workflow you want. For a local-model trial, verify that your server and model support the task's tool calls and context. Use the same acceptance checks described in how to code with AI.
Cascade
Follow the current Cascade documentation linked above rather than assuming an older Windsurf feature or price still applies. Try its code and chat workflows on the same bounded task as the other candidates. Keep a record of the actual product and account used so the result is reproducible.
Open-source, free and paid choices
Separate the tool license from model hosting. A client can be free while its model calls are paid; a subscription can include an allowance with limits. The Zen price tables make input, output and cache costs visible for that service. For another provider, use its own bill rather than substituting Zen rates.
If a gateway is part of your setup, the API configuration guide shows which endpoint, model ID and credentials belong together. A low advertised rate is only one input: retries, context size and the work needed to accept the result also affect cost.
For team rollout, compare enterprise requirements, model access and spending controls before standardizing on a client. A limited trial with a documented task is easier to evaluate than a broad claim that one agent is universally best.
Start with the choice that fits
If provider flexibility is your deciding factor, install OpenCode, connect one provider, and run one small task. If the connection fails, follow the error checklist before changing tools. For a Claude model, use the copyable configuration.
If you mainly want completion and inline editing, read OpenCode vs Cursor first. If you already pay for a Claude workflow, read OpenCode vs Claude Code before assuming that allowance transfers to another client.
A repeatable evaluation
Start with two tools that fit your environment. Use a repository you may share with the selected model provider and create an isolated branch or checkout for each trial. Record the starting commit and keep existing work out of the comparison.
Choose three bounded tasks with explicit acceptance criteria: reproduce and fix a bug, make a small refactor without changing behavior, and add a missing test. Give both tools the same context and permitted commands. Where possible, hold the model constant; if you cannot, label the result as a comparison of the whole tool-and-model combination.
For each task record:
- Tool version, exact model ID, provider, settings and trial date.
- Whether the acceptance tests pass and whether review finds a regression.
- Time to an accepted diff, including your own corrections and review.
- Actual billed usage, retries and any subscription allowance consumed.
- Unexpected file changes, permission prompts and access outside the intended scope.
Keep unsuccessful trials. A single attractive result does not establish reliability, and a vendor benchmark may use different tools, prompts or task definitions. Set your own threshold for an acceptable result before you compare outcomes.
Interpret cost carefully
A free client can call a paid model. A paid subscription can include an allowance rather than unlimited usage. Local inference still requires hardware, electricity and maintenance. Compare total cost for accepted work instead of only a monthly sticker price or a token rate.
Check retention, training, telemetry and external-tool settings separately from cost. Running a model locally does not by itself prove that every extension, MCP server or update check stays offline. Follow your organization's requirements before using private code.
See free and open-source options for a cost checklist, OpenCode vs Claude Code and OpenCode vs Cursor for narrower comparisons, and the practical workflow guide for review habits.