r/CommandCode
GLM-5.3 is already live in Command Code. 5–10x cheaper than the frontier closed models.
GLM-5.3 is already live in Command Code.
Same price as GLM-5.2, ~50% better on Zai's internal Code Bench.
Still 5–10x cheaper than the frontier closed models (per 1M output tokens, list price today).
Plans: $1 Go ($10 credits) · $10 GOAT ($20 credits)
GLM-5.3 is pretty cheap:
10x cheaper than Fable 5
6x cheaper than GPT-5.6 Sol
5x cheaper than Opus 5
🐐
Qwen 3.8 27B is now live in Command Code.
Qwen 3.8 27B is now live in Command Code.
Beats Opus 4.6 Max, GPT 5.6 Luna Max on Artificial Analysis Intelligence Index.
Best for coding and long agent tasks. Multimodal with reasoning toggled on/off
Available on all plans & API
🐐
What happens to my Go plan credit after upgrading to GOAT?
I subscribed to the Go plan, and after using it for two days, I had used 340M ($6) and reached the weekly limit. I then upgraded to the GOAT plan without making any additional usage.
When I checked my usage afterward, it looked like this: ~340M -> 156.3M $6.01 -> $2.97
My question is: Will the $1 I paid for the Go plan be refunded, or will the remaining unused value/credits from the Go plan be carried over to the GOAT plan?
DeepSeek V4 Flash Cache Read on GOAT plan seems higher than the table. Am I calculating this wrong?
TL;DR – Used 86.4M tokens on DeepSeek V4 Flash (GOAT plan).
• Cache Read official: $0.007/M → real: ~$0.0107/M (+53%)
• Input + Output: match the table perfectly
• Expected cost: $1.65 → Actual bill: $1.97 ($0.31 difference)
• Is anyone else seeing this?
I recently subscribed to Command Code's GOAT plan. I used DeepSeek V4 Flash over two days and noticed what looks like a discrepancy between the official pricing table and my actual bill, though I fully admit I might be missing something.
Usage over 2 days:
| Concept | 17 Aug | 18 Aug | Total 2 days |
|---|---|---|---|
| Cache Read | 40.2M | 42.9M | 83.1M |
| Input (uncached) | 1.5M | 1.0M | 2.5M |
| Output | 489.8K | 297.6K | 787.4K (0.7874M) |
| Total | 42.2M | 44.2M | 86.4M |
According to the official GOAT pricing table for DeepSeek V4 Flash:
- Input: $0.22/M
- Output: $0.66/M
- Cache Read: $0.007/M
The theoretical cost based on the table:
- Input: 2.5M × $0.22 = $0.55
- Output: 0.7874M × $0.66 = $0.5197
- Cache Read: 83.1M × $0.007 = $0.5817
- Total expected = $1.65
But my actual bill on the platform shows $1.97 for DeepSeek V4 Flash (+ $0.01 for web_search).
That's a $0.31 difference.
The numbers:
| Day | Cache Read (M) | Real cost | Input+Output (table) | Remainder for Cache | Real price/M |
|---|---|---|---|---|---|
| 17 | 40.2 | $1.09 | $0.6533 | $0.4367 | $0.01086 |
| 18 | 42.9 | $0.87 | $0.4164 | $0.4536 | $0.01057 |
| Avg | 83.1 | $1.96 | $1.0697 | $0.8903 | ~$0.0107 |
If Input and Output are charged exactly as the table says (which they are, they match perfectly), the implied price for Cache Read is ~$0.0107/M, noticeably higher than the advertised $0.007/M (about 53% more).
Summary:
| Official table | Real cost | Difference |
|---|---|---|
| Day 17 | $0.9347 | $1.09 |
| Day 18 | $0.7167 | $0.87 |
| Total | $1.6514 | $1.96 |
I'm not sure if this is a documentation error, or any fee fee on GOAT plan that isn't listed on the /docs/plans/goat page. Input and output prices are spot on, but cache reads appear to be billed at a different rate.
That said, I fully acknowledge that I might be misreading the usage dashboard, misapplying the pricing tiers, or overlooking a detail in the fine print. If anyone can spot an error in my math or point out something I've missed, I'd really appreciate the correction!
When an app mobile for Command Code ?
as written would be great to manage cli and desktop sessions remotely
They removed deepseek deal from the Go Plan . GG guys
support Ali Pay?
Almost no VAT with Alipay, vs. 36% with Stripe.
How is the zdr for the GOAT plan?
I am planning to transition to command code GOAT plan after my opencode Go subscription expires this coming 22.
I am working on sensitive stuffs, do the GOAT plan offers zdr as what opencode go does?
I am claude user, want to know about commandcode.
I have never tried command code, so i don't know anything about it. Is command code worth it, so that i can switch from claude to command code, like idk about the usage limit we get and how many models are currently in command code.
GPT 5.6 Sol is now in Command Code GOAT (70 dollar credits.).
GPT 5.6 Sol is now in Command Code GOAT
Best coding plan with best GPT model. $70 credits.
$10/mo GOAT plan gets you:
GPT Sol has $70 credits
~105M tokens ~2.1K reqs
We've also achieved 99.43% cache hit ratio.
Available on GOAT + above.
Limited time deal.
🐐
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 -- 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.
Help Needed: Understanding Go/Goat Token Limits and API Savings
Could someone please explain, in simple terms, how many tokens the $1 Go plan and $10 Goat plan include for DeepSeek Flash, DeepSeek Pro (peak and off-peak), and ChatGPT Luna? Also, how much would I save in total compared with using each model’s official API?
Does the goat plan currently offer api?
I have a workflow that cannot leave claude code,
can i use the goat plan to get api for this?
GPT 5.6 Sol not available in GOAT plan
On the Billing page of the dashboard, it says $70 on gpt 5.6 sol under the GOAT plan. But when I try to use it on the CMD harness it says available only to pro and above
No more Cheapseek: Command Code / Opencode GO comparision
Hi,
Based on my two price trackers:
CommandCode's GOAT plan has 3,42x the DS 4 usage compared to Opencode Go
Cheapest three on the $10n plan
Opencode GO:
- Mimo 2,5
- Hy 3
- GPT 5.6 Luna
Command Code:
- Mimo 2,5
- Deepseek V4 Flash (off peak)
- Muse Spark Contributor
Started this project so recently but already so many changes. Enjoy the data and the changelogs in the end. I am still improving it at the moment, but here you go :D
Options for Heavy Users
As someone who uses close to ~1B tok/d, with OpenCode limits for my main model being slashed so aggressively. There seem to be three viable options:
Command Code $10 Go (Still a drop in usage, but 4X more than OpenCode for now)
Muse Spark 1.2 Contributor tier costs $0.10 per million input tokens, $0.002 per million cached input tokens, and $0.20 per million output tokens. Cheaper than DeepSeek. Levels out.
Grok SuperHeavy for $99 on promo. Gets a lot of things, Cursor Ultra, Cursor API credits, as well as a strong frontier model. Crazy cost difference though.
I thought Opencode was different...
Really disappointing news, especially after the "cheapseek" marketing.
Deepseek on CommandCode seems dumber than Deepseek on OpenCode
Am I just imagining things? (Both through the OpenCode harness)