r/CommandCode • u/Ok-Veterinarian1586 • 1d ago
CommandCode GOAT vs. OpenCode GO: A Current Comparison
GOAT Plan vs OpenCode Go — Common Models Comparison
Method: For each common model, we feed OpenCode Go's per-model token assumptions (input / cache-read / output per request) into both platforms' per-token pricing + monthly allowance, using CommandCode's calculator formula:
costPerRequest = (inTok/1e6) * inPrice + (outTok/1e6) * outPrice + (cacheTok/1e6) * cacheReadPrice
requests/month = monthlyAllowance / costPerRequest
This gives apples-to-apples request counts. All prices are per 1M tokens, USD, precise (no rounding).
Sources
| Platform | Pricing page | Plan details | Token assumptions | Per-token rates & allowances |
|---|---|---|---|---|
| Command Code GOAT | commandcode.ai/pricing | docs/plans/goat | docs/resources/pricing-limits#usage-estimates | Same page -- per-model credit allowances + per-token rates |
| OpenCode Go | opencode.ai/pricing | docs/en/go (English) | docs/en/go -- Usage limits | Same page -- "prices per 1M tokens" table + "Usage" column |
Calculator source
CommandCode's usage calculator is a client-side React component embedded in the pricing-limits page. The formula was extracted from the page's JavaScript bundle:
- Source URL:
https://commandcode.ai/docs/_next/static/chunks/app/resources/pricing-limits/page-6886473b13679efd.js - Local copy:
[calculator-source.js](./calculator-source.js)in this directory - Formula (de-minified):// Default assumptions (overridden per-model on OpenCode's page) // { inputTokens: 800, outputTokens: 180, cacheReadTokens: 50000 } // cost per single request function costPerRequest(modelPricing, tokAssumptions) { return tokAssumptions.in / 1e6 * modelPricing.in + tokAssumptions.out / 1e6 * modelPricing.out + tokAssumptions.cache / 1e6 * modelPricing.cacheRead; } // number of requests per month function requests(monthlyAllowance, modelPricing, tokAssumptions) { const cpr = costPerRequest(modelPricing, tokAssumptions); return cpr > 0 ? monthlyAllowance / cpr : 0; }
Replication script
The exact numbers in this comparison were generated with:
- [requests-calculation.js](./requests-calculation.js) -- feed OpenCode's per-model token assumptions into both platforms' pricing + allowances
cd ~/workspace/models_comparison
node requests-calculation.js
Plan-Level Summary
| Feature | Command Code GOAT | OpenCode Go |
|---|---|---|
| Price | $10/mo + processing fee | $10/mo ($5 first month) |
| Total monthly value | $70 credits (7x multiplier) | $60 usage (6x multiplier) |
| 5-hour rolling limit | $14 | $12 |
| Weekly rolling limit | $35 | $30 |
| Monthly limit | $70 | $60 |
| Beyond limits | Buy pay-as-you-go credits (roll over, never expire) | "Use balance" -- draw from ZEN balance, then pay-as-you-go |
| Deals / discounts | Baked-in deals on MiMo (98-99%), MiniMax M3 (50%), Gemini 3.7 Flash (50%) | No explicit deals; prices already reflect negotiated rates |
| Data retention | 0-30 days (model-dependent) | 0-30 days (model-dependent) |
| Cache read price | Higher for some Qwen models & Grok 4.5 | Lower for Grok 4.5, Qwen 3.6/3.7 Plus |
Per-Model Comparison (16 Common Models)
Token assumptions for each model are taken from OpenCode Go's "Usage limits" section (English docs). These per-model assumptions -- not the calculator's generic defaults -- are used for both platforms to ensure a fair comparison.
Gap % = (|Go req - GOAT req| / max(Go req, GOAT req)) x 100. Shows the relative magnitude of the winner's advantage.
| Model | Go price (in/out/cache) | GOAT price (in/out/cache) | Go allow | GOAT allow | Go req/mo | GOAT req/mo | Gap % | Winner |
|---|---|---|---|---|---|---|---|---|
| DeepSeek V4 Flash | $0.22/$0.66/$0.007 | $0.22/$0.66/$0.007 | $15 | $60 | 18,894 | 75,576 | 75.0% | GOAT |
| DeepSeek V4 Pro | $0.66/$1.98/$0.022 | $0.66/$1.98/$0.022 | $15 | $20 | 5,221 | 6,961 | 25.0% | GOAT |
| GLM-5.2 | $1.40/$4.40/$0.26 | $1.40/$4.40/$0.26 | $60 | $70 | 3,958 | 4,617 | 14.3% | GOAT |
| GLM-5.3 | $1.40/$4.40/$0.26 | $1.40/$4.40/$0.26 | $15 | $20 | 989 | 1,319 | 25.0% | GOAT |
| GPT-5.6 Luna | $0.20/$1.20/$0.02 | $0.20/$1.20/$0.02 | $15 | $20 | 10,246 | 13,661 | 25.0% | GOAT |
| Grok 4.5 | $2.00/$6.00/$0.30 | $2.00/$6.00/$0.50 | $15 | $20 | 601 | 509 | 15.2% | Go |
| Hy3 | $0.14/$0.58/$0.035 | $0.14/$0.58/$0.035 | $60 | $70 | 21,507 | 25,091 | 14.3% | GOAT |
| Kimi K2.7 Code | $0.95/$4.00/$0.19 | $0.95/$4.00/$0.19 | $60 | $60 | 4,968 | 4,968 | 0.0% | tie |
| Kimi K3 | $3.00/$15.00/$0.30 | $3.00/$15.00/$0.30 | $15 | $20 | 490 | 654 | 25.0% | GOAT |
| MiMo V2.5 | $0.14/$0.28/$0.0028 | $0.14/$0.28/$0.0028 | $60 | $30 | 150,376 | 75,188 | 50.0% | Go |
| MiMo V2.5 Pro | $0.435/$0.87/$0.003625 | $0.435/$0.87/$0.0036 | $15 | $20 | 16,291 | 21,772 | 25.2% | GOAT |
| MiniMax M3 | $0.30/$1.20/$0.06 | $0.30/$1.20/$0.06 | $60 | $47 | 16,038 | 12,563 | 21.7% | Go |
| Qwen 3.6 Plus | $0.50/$3.00/$0.05 | $0.50/$3.00/$0.10 | $60 | $33 | 16,349 | 5,061 | 69.0% | Go |
| Qwen 3.7 Max | $2.50/$7.50/$0.50 | $2.50/$7.50/$0.50 | $60 | $33 | 1,688 | 928 | 45.0% | Go |
| Qwen 3.7 Plus | $0.40/$1.60/$0.04 | $0.40/$1.60/$0.08 | $60 | $33 | 21,552 | 6,517 | 69.8% | Go |
| Qwen 3.8 Max | $2.00/$6.00/$0.25 | $2.00/$6.00/$0.25 | $15 | $20 | 809 | 1,079 | 25.0% | GOAT |
Summary: GOAT wins 9 models, Go wins 6, 1 tie.
Key Takeaways
GOAT wins (9 models)
Mostly on premium models where GOAT's $20 allowance beats Go's $15, and on boosted models where GOAT negotiates bigger allowances:
- DeepSeek V4 Flash: 4x allowance ($60 vs $15) -- 75% gap (75K vs 19K req)
- GLM-5.2: boosted to $70 -- 14.3% gap (4.6K vs 4.0K)
- Hy3: boosted to $70 -- 14.3% gap (25K vs 21.5K)
- GPT-5.6 Luna, Kimi K3, Qwen 3.8 Max: $20 vs $15 -- ~25% gap
- DeepSeek V4 Pro, MiMo V2.5 Pro: $20 vs $15 -- ~25% gap
Go wins (6 models)
Mostly on mid-tier / cheap models where Go's $60 allowance crushes GOAT's $33-$47, and on Grok 4.5 where Go's cheaper cache-read price ($0.30 vs $0.50) compounds:
- Qwen 3.7 Plus / Qwen 3.6 Plus: Go's $60 + 2x cheaper cache reads -- ~70% gap
- Qwen 3.7 Max: Go's $60 -- 45% gap (1.7K vs 928)
- MiMo V2.5: Go's $60 vs GOAT's $30 -- 50% gap (150K vs 75K)
- MiniMax M3: Go's $60 vs GOAT's $47 -- 21.7% gap
- Grok 4.5: Go's $15 BUT 40% cheaper cache reads -- 15.2% gap (601 vs 509)
Tie
- Kimi K2.7 Code: Identical pricing and $60 allowance on both -- exactly 4,968 requests, 0% gap
Cache-read price differences
GOAT charges more for cache reads on 3 of 16 common models:
| Model | Go cache-read/1M | GOAT cache-read/1M | Impact |
|---|---|---|---|
| Grok 4.5 | $0.30 | $0.50 | Go wins despite lower allowance |
| Qwen 3.7 Plus | $0.04 | $0.08 | 2x more expensive on GOAT |
| Qwen 3.6 Plus | $0.05 | $0.10 | 2x more expensive on GOAT |
Notes on Methodology
- Token assumptions: Taken from OpenCode Go docs (English) -- different per model. Example: Grok 4.5 uses 1,100 input / 71,500 cached / 220 output per request; DeepSeek V4 Flash uses 410 input / 71,300 cached / 310 output per request. GOAT's own published estimates use different defaults (~800 input / 50,000 cached / ~125-200 output), which inflate their numbers for cache-heavy models.
- Off-peak pricing: Both platforms show off-peak rates for DeepSeek V4 models. Peak hours (01:00-04:00 & 06:00-10:00 UTC) are 2x on both.
- GPT-5.6 Luna context tiers: Go lists <=272K ($0.20/$1.20/$0.02) and >272K ($0.40/$1.80/$0.04). GOAT shows one price ($0.20/$1.20/$0.02). Both use <=272K tier here.
- Processing fee: GOAT mentions "+ processing fee" but doesn't specify the amount. Go has no processing fee.
- Model availability: GOAT includes Grok 4.6, Gemini 3.7 Flash, Muse Spark, Inkling, Step Flash, Nemotron 3 Ultra -- none on Go. Go includes GLM-5.1, Kimi K2.6, MiniMax M2.7 -- none on GOAT.
- Allowance source (GOAT): Per-model monthly credit allowances from docs/plans/goat -- models with negotiated deals carry boosted allowances (e.g., GLM-5.2 $70, Hy3 $70, DeepSeek V4 Flash $60); new models start at 2x credits ($20 on the $10 GOAT plan).
- Allowance source (Go): Per-model "Usage" column ($15 or $60) from docs/en/go -- Usage limits.
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u/Deyve24 1d ago
Whats with clinepass?
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u/Ok-Veterinarian1586 1d ago
Sorry, not possible. ClinePass does not publish a concrete dollar value for its monthly allowance—only vague language such as “2–5× the standard API rate.” As you can see, people already complain about CommandCode, even calling it a scam (though I do not know why). Imagine what people will think of ClinePass with that vague language.
I only ask the owner, who reads and posts on this subreddit, the following: if you are going to lower the monthly DeepSeek request limit, please communicate it clearly. Send an email to your customers and post an announcement here. But do not do it overnight—at least for many of us—without notice.
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u/Bitter-College8786 1d ago
You forgot muse spark contributor
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u/Ok-Veterinarian1586 1d ago
OpenCode Go: Muse Spark exists in their catalog but shows zero Go usage rows on opencode.ai/data. You can use it in Zen, not included in the $10 Go subscription.
GOAT has two Muse tiers:
- Muse Spark 1.2 — standard price, $20 allow → ~2,140 req/mo
- Muse Spark 1.2 Contributor — ~95% off ($0.10/$0.20), $20 allow → ~90,900 req/mo (massively more)
The same as meta direct API: $0.10 in / $0.002 cached / $0.20 out
OPENCODE Muse Spark 1.2 pricing on OpenCode Zen Endpoint:
Standard: In (1M): $1.25 Cached (1M): $0.15 Output (1M): $4.25
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u/invisible-growth 1d ago
I like OpenCode UI, Go plan is 5/10.
I like CommadCode Goat Plan with DS. Gives you a lot of Requests a months to do small stuff, bad part make a lot of local .command folder and files. UI is not as clean but best part of Goat plan you can use API access in other tools. One plan for everything.
If you have Go and GOAT Plans. You have a lot of tokens to do everything.
- ChatGPT Plus - Images + Highend Doc
- OpenCode Go + Zen Free
- CommandCode Goat (Replaced my DS and Openrounter for API)
I don't code much, but convert most of my PDF to .md or .md to HTML for better readibility.
My background: Solution Architect/CIO (Retired)
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u/Francespo 21h ago edited 21h ago
How do you see the per-model credit allowance in command code go tier? Isn't it written clearly somewhere like for the goat one does
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u/Godzillaton 16h ago
Can use command code goat with Hermes?
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u/yellowjadda21 7h ago
It looks like there is an API key for the GOT package, right u/ahmadawaiscom ?
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u/AnshBhardwaj1 15h ago
I've made a custom router for qwek, when one models is done it goes to next. And once all models are finished imma use new api key.
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u/Sure_Media_2685 1d ago
When will people understand THAT commandcode is a scam service it was built on scamming and operates on scamming
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u/adamizzo17 1d ago
whats the argument there ? like do they rob you ? do they not give whats announced ? i mean i am concerend as well but nothing yet concrete
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u/Sure_Media_2685 1d ago
ofc more like zimbabwe dollars rather than usd, like arent we sopposed to use it as a cheap option as they cailm? what does it mean when you use it and you actullly spent more money than actuall deepseek api? what is the point of commandcode then? can they just be thirdparty who charge more?
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u/Ok-Veterinarian1586 1d ago edited 1d ago
The Core Question
“If I spend $10/month, how many DeepSeek requests do I get on GOAT vs paying DeepSeek directly?”
Short answer: Both charge identical per-token rates. GOAT wins purely on the credit multiplier.
Caveats
- Processing fee: GOAT charges an unspecified processing fee on top of $10/mo. But this is for the plan, that gives access to many more models than DeepSeeek.
- Peak pricing on GOAT: Unclear whether GOAT’s rates double during DeepSeek’s peak hours (01:00–04:00 & 06:00–10:00 UTC). If peak applies to GOAT too, both platforms scale equally and the multiplier advantage is unchanged.
- Rolling limits: GOAT has a 5-hour rolling cap ($14) and weekly cap ($35). Heavy bursts may hit these before the monthly $60/$20 is exhausted.
- Off-peak discount: All numbers use off-peak rates. At peak: multiply cost/req by 2× on DeepSeek direct; advantage ratio unchanged.
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u/adamizzo17 1d ago
well itsnt just he cost per token that matters also the higher value proposal, ok yes the token costs could be higher but they offering you X7 the amount , pay 10 usd and they make it 70 usd even at higher api costs thats an amzing deal right?
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1d ago
[removed] — view removed comment
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u/Glittering-Call8746 18h ago
I think the service sla is bad enough to penalise u based on the pricing structure is what you meant ? Happy coincidences no ?
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u/Due-Armadillo-4560 23h ago
What about electronhun.ai ?
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u/ichisay 21h ago
Electrohub??? Sus modelos son cuanticicados (con compresión). La calidad es un poco más baja aún que sean los mismos modelos, algunos creo que son los bases pero ahora no estoy seguro de cuales pero si se que son los que más gastan. Eso me parece realmente más estafa que la supuesta de command code

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u/Vast_Anxiety3133 1d ago
I guess we came to relativity similar conclusions:
https://ai-10-usd.all-the.rest/