Benchmarks and plain-language notes for every model in the OpenCode Go catalog: a task-by-task performance matrix, cost/value analysis, and a description of what each model is actually targeted for (agentic work, coding, data analysis, image understanding, deep research, high-volume chores).

Static site, no build step — it is plain HTML/CSS/ES modules, deployed to Cloudflare Pages.

What's here

Path	What it is
`site/index.html`	The site: performance matrix, price/value charts, model guide
`site/assets/data.js`	Model catalogue — pricing, context, modality, target descriptions, caveats
`site/assets/evals.js`	Benchmark scores (0–100) per model per task family
`site/assets/app.js`	Rendering logic for the matrix, charts and guide
`site/assets/style.css`	Styling
`MODELS.md`	The same model descriptions in Markdown
`wrangler.toml`	Cloudflare Pages project configuration
`.gitea/workflows/pages.yml`	CI: builds and deploys to Cloudflare Pages on every push to `main`

Data sources

OpenCode Go docs — pricing, monthly allowances, privacy/retention, client support
OpenCode Data — catalog metadata, context windows, usage and retention stats
Artificial Analysis — benchmark scores and the Intelligence Index
Vendor announcements — Google (Gemini 4 Argon), Reflection AI (Beam), Meituan (LongCat), MiniMax (M3.1 Flash), xAI (Grok 4.7), StepFun (Step 5), Qwen, Zhipu, Moonshot, DeepSeek, Xiaomi, Tencent

Data snapshot date: 2026-10-21. Re-run the collection script to refresh.

Publishing to Cloudflare Pages

1. Create the Pages project

npm install
npx wrangler login                       # or export CLOUDFLARE_API_TOKEN
npx wrangler pages project create opencodogoevals

2. Give CI the credentials

Add these as repository secrets (Gitea: Settings → Actions → Secrets):

Secret	Value
`CLOUDFLARE_API_TOKEN`	Cloudflare API token with Cloudflare Pages: Edit (and Account Settings: Read)
`CLOUDFLARE_ACCOUNT_ID`	The Cloudflare account that owns the Pages project

The workflow in .gitea/workflows/pages.yml then:

checks out the repo and installs Wrangler,
stages MODELS.md next to the site,
creates the Pages project if it does not exist yet (idempotent),
deploys site/ on every push to main, on a manual Run workflow, and hourly.

A runner must be registered on the Gitea instance for the workflow to execute.

3. Deploy manually (optional)

./scripts/deploy.sh     # uses env vars or your wrangler login session
npm run deploy          # same thing, wrangler only
npm run dev             # local preview on http://localhost:8788

Custom domain

Set it in Cloudflare Pages → Custom domains, then add a CNAME record pointing at <project>.pages.dev.

Local development

The site is static — open site/index.html directly, or use npm run dev for a Cloudflare-compatible local server.

Updating the data

node scripts/refresh-evals.mjs re-scrapes every model's benchmark scores from Artificial Analysis and rewrites site/assets/evals.js. Model names, OpenCode Go prices and free-tier flags come from site/assets/data.js (hand-maintained from the Go docs), so the chart always shows Go pricing.
Descriptions, modalities, release dates and caveats live in site/assets/data.js; update them there and regenerate MODELS.md.
Commit both files — CI publishes the site on push.

Caveats

Task-matrix cells use the best published evaluation per task family; when a model has not been run on a benchmark the column falls back to another one, so the underlying benchmark can differ between rows in a column. Hover a cell to see which one it is.
Free-tier models (MiniMax M3.1 Flash Free, Beam Free, LongCat 2.5 Preview Free) are limited-time offers.
Contributor-tier models (Gemini 4 Argon, Muse Spark 1.3) may use your prompts and completions for training — check the Go docs' privacy table.
No Go model generates images; they are all text-output.

License

MIT — see LICENSE.

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OpenCodeGoEvals