OpenCodeGoEvals

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 deploys site/ on every push to main.

3. Deploy manually (optional)

npm run deploy        # wrangler pages deploy site --project-name opencodogoevals
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

1. Benchmark scores come from each model's Artificial Analysis page (https://artificialanalysis.ai/models/<slug>) — the embedded JSON payload in the page contains the full evaluation set per model.
2. Catalog facts (pricing, context window, modalities, release date) come from https://opencode.ai/data/<lab>/<model>.json and the Go docs.
3. Edit site/assets/evals.js and site/assets/data.js, then regenerate MODELS.md from data.js and re-commit.

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.