BenchRank
#12 in Code AssistantsUpdated 2026-08

OpenCode

by OpenCode · Open source AI coding agent for terminal, IDE and desktop

BenchRank score

59.9 — BenchRank score out of 100

Screenshots of OpenCode

Homepage · OpenCode

Homepage of OpenCode

Overview

OpenCode is an open source AI coding agent that runs in the terminal, as a desktop app, or as an IDE extension. It loads the relevant LSPs for the model, runs multiple agent sessions in parallel on one project, and can share a link to any session. It works with included free models or with 75+ providers via Models.dev, including local models and GitHub Copilot or ChatGPT logins.

Best for
Developers who want an open source coding agent in the terminal, IDE or desktop app
Pricing
No prices are shown in the captured text; free models are included and Zen and Enterprise are listed without figures.
Runs on
macOSWindowsLinuxSelf-hostedCLI

Strengths and trade-offs

Strengths

  • Open source, with 160K GitHub stars and 900 contributors
  • Works with 75+ LLM providers, including local models
  • Terminal, desktop app and IDE extension from one tool
  • States it does not store your code or context data

Trade-offs

  • Beyond the included free models you supply your own provider account
  • No prices published for Zen or the Enterprise offering
  • Zen is limited to a handpicked set of models OpenCode has tested

How OpenCode markets itself

A structured read of the promise, proof and page design on OpenCode’s captured homepage.

Homepage capture

“The open source AI coding agent”

  • Angle: Open source / ownership
  • Hero: Terminal / CLI

Pricing

Published plans and prices from OpenCode’s own pricing page.

How this score is made up

Each dimension is scored out of 100 and combined into the headline score using fixed weights.

  • MCP support

    Whether an agent can drive the product through the Model Context Protocol, and how much setup that takes.

  • API quality

    Public API surface: machine-readable spec, official SDKs, documented auth, errors, rate limits and versioning.

  • Documentation

    Publicly reachable docs — coverage, freshness, code samples and machine readability.

  • Agent friendliness

    How readable the site is to an automated client: llms.txt, structured data, server-rendered content, crawler access.

  • Changelog

    A public, dated record of what shipped and when — the clearest signal that a product is still alive.

  • Marketing site structure

    Whether the site answers a buyer's questions: clear positioning, the pages that matter, and accessibility.

  • Page speed

    How fast the site loads for real visitors: Chrome UX Report 75th-percentile LCP, INP and CLS, with a Lighthouse mobile run standing in where a site has too little traffic for field data.

  • Operational trust

    Status page and incident history, security disclosure, compliance and data-processing documentation.

Measured, but not part of the score

Useful to know, but not a mark for or against the product — so these do not affect the ranking.

  • Openness

    Source availability, self-hosting, data export and open standards. Scored and shown, but not part of the composite — paid SaaS is not worse for being paid SaaS.

  • Maintenance

    Release cadence and repository activity. Scored and shown, but not part of the composite — it is only measurable for open repositories.

This doesn’t look right — report a problem with OpenCode’s score

Where this comes from

The OpenCode pages BenchRank reads when it scores the product — its documentation, release notes, status and security pages, and its repository where there is one.

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