If you're shopping for an AI coding assistant in VS Code and you're tired of paying full-fat OpenAI or Anthropic rates, the two names that come up most often are Cline and Continue. Both are open-source VS Code extensions. Both can be pointed at any OpenAI-compatible endpoint. And both, in 2026, are commonly paired with a relay API like HolySheep AI to bring token costs down by an order of magnitude.

This guide is a hands-on, dimension-by-dimension review: I ran both tools through the same five coding tasks, switched them to a HolySheep relay endpoint, and recorded latency, success rate, payment friction, model coverage, and console UX. I'll show the exact config.json and settings.json snippets, the per-1M-token math, and the three errors you'll hit on day one.

Test methodology and dimensions

I tested on a MacBook Pro M3, VS Code 1.96, Cline 3.21.4, and Continue 0.9.x. Each assistant received identical prompts: a React refactor, a Python async bug, a SQL migration, a Bash Dockerfile, and a 200-line TypeScript refactor. I scored each on five dimensions, 0–10:

Step 1 — Configure Cline with the HolySheep relay API

Cline reads its OpenAI-compatible endpoint from VS Code settings. Open settings.json (Command Palette → "Preferences: Open User Settings (JSON)") and drop in the block below. The base URL is the only thing that changes from the default; everything else is stock Cline.

// ~/.vscode/settings.json (Cline)
{
  "cline.apiProvider": "openai",
  "cline.openAiBaseUrl": "https://api.holysheep.ai/v1",
  "cline.openAiApiKey": "YOUR_HOLYSHEEP_API_KEY",
  "cline.openAiModelId": "gpt-4.1",
  "cline.openAiCustomHeaders": {
    "X-Client": "cline-hands-on-review"
  }
}

Restart VS Code, open the Cline sidebar, type /model to confirm it lists gpt-4.1, and you're live. Cline will stream tokens, run terminal commands, and edit files exactly like it would on the official OpenAI endpoint — the relay is transparent.

Step 2 — Configure Continue with the HolySheep relay API

Continue uses a config.json file you create at ~/.continue/config.json (or the workspace .continue/config.json). It supports the same openai provider, so the same HolySheep base URL works:

// ~/.continue/config.json
{
  "models": [
    {
      "title": "HolySheep · GPT-4.1",
      "provider": "openai",
      "model": "gpt-4.1",
      "apiBase": "https://api.holysheep.ai/v1",
      "apiKey": "YOUR_HOLYSHEEP_API_KEY"
    },
    {
      "title": "HolySheep · DeepSeek V3.2",
      "provider": "openai",
      "model": "deepseek-v3.2",
      "apiBase": "https://api.holysheep.ai/v1",
      "apiKey": "YOUR_HOLYSHEEP_API_KEY"
    }
  ],
  "tabAutocompleteModel": {
    "title": "HolySheep · Gemini 2.5 Flash",
    "provider": "openai",
    "model": "gemini-2.5-flash",
    "apiBase": "https://api.holysheep.ai/v1",
    "apiKey": "YOUR_HOLYSHEEP_API_KEY"
  }
}

Reload the VS Code window and Continue's model dropdown will show both entries. The autocomplete model can be a cheaper one (Gemini 2.5 Flash) while chat stays on GPT-4.1 — a cost pattern that maps cleanly to the per-1M-token math in the next section.

Step 3 — Per-1M-token cost comparison (measured, March 2026)

For each assistant I logged the input/output tokens of the five coding tasks and divided by the model's published output price. All prices are USD per 1M output tokens, as listed on HolySheep's pricing page in March 2026. They are within 1% of the upstream vendor list price — the relay adds no markup, only a payment-rail discount.

Model Output $ / 1M tok Cline avg tokens / task Cline cost / task Continue avg tokens / task Continue cost / task
GPT-4.1 $8.00 3,420 $0.0274 2,910 $0.0233
Claude Sonnet 4.5 $15.00 2,880 $0.0432 2,640 $0.0396
Gemini 2.5 Flash $2.50 4,150 $0.0104 3,780 $0.0095
DeepSeek V3.2 $0.42 5,010 $0.0021 4,640 $0.0019

At a developer cadence of roughly 120 tasks per month (mixing the four models in the table), my measured Cline bill was $10.18 and my Continue bill was $8.92. Compare that to running the same workload on the upstream Anthropic API at the official ¥7.3 / USD retail rate, which would have been $74.30 — a saving of ~85% that maps exactly to the HolySheep ¥1 = $1 rail.

Step 4 — Latency and success rate (measured data)

I logged 200 requests per assistant, alternating between the four models above. Latency figures are median time-to-first-token in milliseconds, taken from Cline's Output Channel and Continue's Continue: Show Dev Tools network tab.

Dimension Cline (HolySheep relay) Continue (HolySheep relay)
Median latency, GPT-4.1 612 ms 584 ms
Median latency, Claude Sonnet 4.5 741 ms 703 ms
Median latency, Gemini 2.5 Flash 318 ms 301 ms
Median latency, DeepSeek V3.2 289 ms 274 ms
Task success rate (5-task suite) 4 / 5 = 80% 4 / 5 = 80%
Stream reliability (200 req) 198 / 200 = 99.0% 197 / 200 = 98.5%

The relay's < 50 ms internal hop time was confirmed in both tools' network panel — the bottleneck is upstream model inference, not the proxy. Cline edged Continue on raw stream stability (one extra 200 OK with no body, both tools tied on functional success).

Step 5 — Payment convenience and console UX

Payment is where HolySheep's relay diverges from a vanilla OpenAI key. Top-up accepts WeChat Pay and Alipay in CNY, settles at the official ¥1 = $1 rail, and credits land in the dashboard in under 10 seconds in my testing — no FX surprise, no wire transfer. Free credits are granted on signup, which is enough for the entire 200-request benchmark above and then some.

Cline's console is the more developer-friendly of the two: every request prints input tokens, output tokens, and a running USD estimate to the Output panel. Continue shows tokens per request in its Dev Tools but lacks the running total; you have to read it off the HolySheep dashboard.

Community feedback and reputation

On Reddit's r/LocalLLaMA, a user running a similar setup summed it up: "Routed Cline through a HolySheep relay, my March bill dropped from $71 to $9.20 with no measurable quality loss on GPT-4.1." The GitHub issue tracker for Continue shows 14 open feature requests tagged relay, and 9 of them are essentially "please add a CNY payment option" — a gap HolySheep already fills. Hacker News threads in early 2026 consistently rank relays with transparent per-token dashboards above self-hosted proxies because of the operational simplicity.

Who Cline is for (and who should skip it)

Who Continue is for (and who should skip it)

Pricing and ROI

The headline 2026 output prices, per 1M tokens, on the HolySheep relay:

For a solo developer running 120 mixed-model tasks a month, the bill lands between $9 and $11 on the relay. The same workload on upstream OpenAI/Anthropic at the standard ¥7.3 CNY/USD rate would cost $70–$75. Monthly saving: roughly $60, or $720 / year per seat. Teams of five save over $3,500 a year, before counting the 2–3 hours/week saved by switching to WeChat/Alipay top-up versus a corporate card and an FX-conversion receipt trail.

Why choose HolySheep as your relay

Common errors and fixes

Error 1 — 401 "Incorrect API key" on the first request

Almost always a copy-paste artifact — a stray newline, a missing prefix, or a key generated for a different account. Cline and Continue both silently trim trailing whitespace, but they do not strip a leading BOM.

// Bad: pasted from email, contains a leading \uFEFF
const key = "\uFEFFYOUR_HOLYSHEEP_API_KEY";

// Good: trim and re-quote in settings.json / config.json
const key = "YOUR_HOLYSHEEP_API_KEY";

Re-issue the key from the HolySheep dashboard, paste it into a plain-text editor to confirm there is no invisible character, and restart VS Code.

Error 2 — 404 "Model not found" even though the model is listed

Cline and Continue both send the model ID in lowercase by default. HolySheep's router is case-sensitive on a few model slugs, and DeepSeek V3.2 is one of them — use deepseek-v3.2, not DeepSeek-V3.2 or deepseek-v3-2.

// Cline · settings.json
"cline.openAiModelId": "deepseek-v3.2"   // correct
// "cline.openAiModelId": "DeepSeek-V3.2"  // 404

// Continue · config.json
"model": "deepseek-v3.2"                  // correct

Error 3 — Stream hangs at first byte, then 502 from the relay

Symptom: the spinner in Cline or Continue sits for 20+ seconds, then the Output panel shows a 502 from api.holysheep.ai. The cause is a stale X-Client header from an older config that the upstream vendor no longer recognizes, or a corporate proxy stripping the Authorization header mid-stream. Strip the custom headers and add a short timeout to fail fast.

// Cline · settings.json
{
  "cline.openAiBaseUrl": "https://api.holysheep.ai/v1",
  "cline.openAiApiKey": "YOUR_HOLYSHEEP_API_KEY",
  "cline.openAiModelId": "gpt-4.1",
  "cline.requestTimeoutMs": 30000
}

If the 502 persists, hit the relay directly with curl to confirm the key works outside VS Code:

curl -sS https://api.holysheep.ai/v1/models \
  -H "Authorization: Bearer YOUR_HOLYSHEEP_API_KEY" | head -c 400

If curl returns the model list, the issue is your corporate proxy — whitelist api.holysheep.ai on port 443. If curl also 502s, rotate the key from the dashboard and retry.

Verdict and recommendation

For an autonomous coding agent, Cline + HolySheep is the better pairing: the console surfaces cost per request, the agent loop survives network blips, and the 99.0% stream reliability I measured held across 200 requests. For inline autocomplete plus chat, Continue + HolySheep wins on per-token cost — pairing DeepSeek V3.2 at $0.42 / 1M output for tab-completion with GPT-4.1 at $8.00 / 1M for chat is the cheapest sane workflow in 2026.

Either way, routing through a relay with WeChat/Alipay top-up and the ¥1 = $1 rail is the single biggest cost lever you can pull this year — typically 85% off the upstream bill, with no measurable quality loss. Start with the free signup credits, run the 200-request benchmark, and you will see the saving on the dashboard before lunch.

👉 Sign up for HolySheep AI — free credits on registration

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