Command Code's Goat Plan: $10 for $70 in AI Coding Credits, Explained
Command Code's Goat plan gives $70 in monthly credits across 33 models for $10. Here's how it stacks up against GLM, Kimi, and DeepSeek plans.
What is the Command Code Goat plan?
The Goat plan is a $10-a-month subscription from Command Code that gives users $70 in monthly credits usable across 33 open and closed AI coding models, including GLM, DeepSeek, Kimi, Qwen, and MiniMax families. The credit value isn’t uniform across models. Command Code has negotiated separate deals with each provider, so the effective multiplier on your $10 ranges from roughly 2x on newer models up to 7x on flagship ones, with some combinations pushing past $100 in usable value.
TL;DR
- The Goat plan costs $10 a month and delivers $70 in credits spread across 33 models, with usage capped in rolling 5-hour, weekly, and monthly windows similar to Claude Code’s rate-limit structure.
- Credit multipliers vary by model: full $70 value applies to GLM 5.2, GPT 5.6, Luna, Tencent AI 3, and the Qwen 3.6/3.7 line, while DeepSeek V4 Flash and Kimi K2.7 Code get $60, MiniMax M3 gets $47, and newer models sit lower while deals are still being finalized.
- The plan arrives at a moment when rival open-model plans have gotten worse: GLM raised its own coding plan to roughly $18-$160 a month, Kimi’s provider paused new subscriptions after demand maxed out GPU capacity, and DeepSeek has never offered a subscription at all, leaving only pay-as-you-go API access.
- Command Code’s harness is built specifically for open models, with automatic repair of malformed tool calls and cache routing that reportedly hits 95 to 98 percent cache reads, which stretches credits further and improves reliability compared to bolting these models onto agents designed for Claude or GPT.
- Unused credits roll over and never expire, and running out triggers pay-as-you-go top-ups billed at raw model cost with no markup, which removes the “use it or lose it” pressure common in subscription plans.
- Models are served at full weight without quantization, and the provider states it doesn’t train on user code, with an option to enforce zero data retention.
- A practical daily setup pairs GLM 5.2 as the main driver, DeepSeek V4 Flash for high-volume simple tasks, and Kimi K2.7 Code or K3 for harder problems, all switchable mid-project with a single command.
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Why did open-model coding plans get worse before Goat launched?
Three separate things happened at roughly the same time, and together they created the gap that the Goat plan is stepping into.
GLM’s coding plan used to be the standard budget recommendation for developers who wanted a capable model without paying premium prices. That changed when GLM raised prices across the board. Depending on the tier, the plan now runs somewhere between $18 and $160 a month, with the lower end reserved for quarterly or yearly commitments. It’s still a reasonable plan, but it only gives access to GLM models, and it’s no longer the cheap entry point it once was.
Kimi’s situation is more abrupt. After Moonshot released K3, demand for the coding plan overwhelmed available GPU capacity within about 48 hours, and the company paused new subscriptions entirely. That means there’s currently no way to buy a Kimi coding plan directly, regardless of budget.
DeepSeek never had a plan to begin with. Despite producing some of the strongest value-for-money models in the industry, DeepSeek has always operated on pay-as-you-go API pricing. Anyone wanting to use it for daily coding has had to assemble their own harness, caching layer, and tooling from scratch, which is a meaningfully higher barrier than opening a subscription tab.
The net effect: strong models, weak access. That’s the specific gap the Goat plan is priced to fill.
How do the credits and rate limits actually work?
The $70 headline figure isn’t a flat number applied evenly to every model. Command Code has struck individual deals with each provider, and the credit allocation reflects that.
Full $70 credit access applies to GLM 5.2, GPT 5.6, Luna, Tencent AI 3, and the Qwen 3.6 and 3.7 families. DeepSeek V4 Flash and Kimi K2.7 Code come in at $60. MiniMax M3 sits at $47. Some newer additions to the model list are currently in the $20 to $30 range while those provider deals are still being negotiated upward.
What that translates to in actual usage depends heavily on token cost. On a cheap, high-throughput model like DeepSeek V4 Flash, $70 in credits can stretch to somewhere around 39,000 requests in a month. On an expensive model like Kimi K3, the same nominal credit pool covers under 200 requests. Most models land somewhere between those extremes, and a typical month across a mixed workload works out to roughly 75,000 requests according to the plan’s own figures.
Usage is metered in three overlapping windows: $14 every 5 hours, $35 per week, and $70 per month, a structure that mirrors the rate-limit design Claude Code popularized. The detail worth noting is that unused credits carry over rather than resetting to zero, so a quiet month doesn’t waste the allocation. If credits run out entirely, additional usage is billed pay-as-you-go at the underlying model’s actual cost, with no markup layered on top.
How does Goat compare to GLM, Kimi, and DeepSeek’s own offerings?
Judged purely on access to these specific model families, the comparison isn’t close. GLM’s own plan starts around $18 a month and only opens up GLM models. Kimi’s plan isn’t purchasable at any price right now because new subscriptions are paused. DeepSeek offers no subscription at all, only metered API billing.
Goat, by contrast, bundles all of these families (plus Qwen, MiniMax, and others) into a single $10 subscription, with credit value on several of them matching or exceeding what GLM charges for its own model alone.
This isn’t a claim that Goat beats every coding subscription on the market outright. Claude Code remains a premium option at $20, $100, or $200 a month, and its ecosystem depth is still considerable, though heavy users have reported that even the top tier feels tight under current limits. The $20 ChatGPT plan with Codex access is also still a strong pick if the goal is the full OpenAI bundle rather than open models specifically. Goat’s value proposition is narrower and more specific: if what you want is affordable access to GLM, DeepSeek, Kimi, Qwen, and MiniMax in one place, it currently has no direct competitor at its price point.
Does the harness matter as much as the model?
A recurring problem with cheaper open models is that they get plugged into coding agents originally designed around Claude or GPT, and the mismatch shows up as broken tool calls and flaky task execution. Users then blame the model when the real issue is the harness.
Command Code’s pitch is that it built its agent specifically around these open models rather than adapting a Claude-first tool. That includes automatic repair of malformed tool calls instead of letting a single bad shell argument derail an entire task, and cache routing designed to keep a warm prefix across conversation turns, with cache hit rates reportedly in the 95 to 98 percent range. That caching does double duty: it speeds up responses and it’s a major reason the credit pool goes as far as it does, since cached reads cost a fraction of fresh token processing.
Models on the plan are served at full weight rather than quantized versions, which matters because quantization can quietly degrade output quality on budget providers. On the data side, Command Code states it doesn’t train on submitted code and offers a zero data retention option for users who need it.
Which models are worth using on the Goat plan?
GLM 5.2 is presented as the strongest general-purpose open coding model currently available, scoring 81 on Terminal Bench and 62.1 on a bench referred to as Stu Bench Pro in the source material. At roughly $1.40 per million input tokens with 26-cent cache reads, and full $70 credit allocation, it’s a reasonable default for routine work like file edits and small fixes.
DeepSeek V4 Flash is the volume option, priced around 14 cents per million input tokens, which is what produces the roughly 39,000-request monthly ceiling. DeepSeek V4 Pro is available with a permanent discount for tasks that need more capability.
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Kimi K2.7 Code gets $60 in credits at under a dollar per million input tokens, and it’s currently one of the only practical ways to access Kimi’s model behavior on any subscription, given that Moonshot’s own plan is paused. Kimi K3 is pricier at $3 input and $15 output, which limits it to around 200 requests a month, better reserved for genuinely hard problems rather than routine work.
Qwen 3.7 Flash, at around 3 cents per million input tokens, suits high-volume, low-complexity tasks. MiniMax M3 sits in a middle tier with a permanent 50 percent discount applied.
Frequently Asked Questions
How much does the Command Code Goat plan cost?
It costs $10 a month and includes $70 in monthly credits distributed across 33 open and closed coding models, with the exact credit value per model varying by provider deal.
Do unused credits expire on the Goat plan?
No. Credits roll over month to month rather than resetting, so a lighter usage month doesn’t forfeit the remaining value.
What happens if I run out of credits?
Additional usage is billed pay-as-you-go at the model’s actual underlying cost, with no markup added on top of the standard rate.
Why is Kimi’s own coding plan unavailable right now?
Moonshot, the company behind Kimi, paused new coding plan subscriptions after demand for K3 maxed out its available GPU capacity within about 48 hours of launch.
Which model should I use as a daily driver on this plan?
GLM 5.2 is generally recommended as the main model for everyday tasks, with DeepSeek V4 Flash for high-volume simple work and Kimi K2.7 Code or K3 reserved for harder problems.
