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- ---
- title: Go
- description: Low cost subscription for open coding models.
- ---
- import config from "../../../config.mjs"
- export const console = config.console
- export const email = `mailto:${config.email}`
- OpenCode Go is a low cost subscription — **$5 for your first month**, then **$10/month** — that gives you reliable access to popular open coding models.
- Go works like any other provider in OpenCode. You subscribe to OpenCode Go and
- get your API key. It's **completely optional** and you don't need to use it to
- use OpenCode.
- It is designed primarily for international users, with models hosted in the US, EU, and Singapore for stable global access.
- ---
- ## Background
- Open models have gotten really good. They now reach performance close to
- proprietary models for coding tasks. And because many providers can serve them
- competitively, they are usually far cheaper.
- However, getting reliable, low latency access to them can be difficult. Providers
- vary in quality and availability.
- :::tip
- We tested a select group of models and providers that work well with OpenCode.
- :::
- To fix this, we did a couple of things:
- 1. We tested a select group of open models and talked to their teams about how to
- best run them.
- 2. We then worked with a few providers to make sure these were being served
- correctly.
- 3. Finally, we benchmarked the combination of the model/provider and came up
- with a list that we feel good recommending.
- OpenCode Go gives you access to these models for **$5 for your first month**, then **$10/month**.
- ---
- ## How it works
- OpenCode Go works like any other provider in OpenCode.
- 1. You sign in to **<a href={console}>OpenCode Zen</a>**, subscribe to Go, and
- copy your API key.
- 2. You run the `/connect` command in the TUI, select `OpenCode Go`, and paste
- your API key.
- 3. Run `/models` in the TUI to see the list of models available through Go.
- :::note
- Only one member per workspace can subscribe to OpenCode Go.
- :::
- The current list of models includes:
- - **GLM-5.2**
- - **GLM-5.1**
- - **Kimi K2.7 Code**
- - **Kimi K2.6**
- - **MiMo-V2.5**
- - **MiMo-V2.5-Pro**
- - **MiniMax M3**
- - **MiniMax M2.7**
- - **Qwen3.7 Max**
- - **Qwen3.7 Plus**
- - **Qwen3.6 Plus**
- - **DeepSeek V4 Pro**
- - **DeepSeek V4 Flash**
- The list of models may change as we test and add new ones.
- ---
- ## Usage limits
- OpenCode Go includes the following limits:
- - **5 hour limit** — $12 of usage
- - **Weekly limit** — $30 of usage
- - **Monthly limit** — $60 of usage
- Limits are defined in dollar value. This means your actual request count depends on the model you use. Cheaper models like DeepSeek V4 Flash allow for more requests, while higher-cost models like GLM-5.2 allow for fewer.
- The table below provides an estimated request count based on typical Go usage patterns:
- | Model | requests per 5 hour | requests per week | requests per month |
- | ----------------- | ------------------- | ----------------- | ------------------ |
- | GLM-5.2 | 880 | 2,150 | 4,300 |
- | GLM-5.1 | 880 | 2,150 | 4,300 |
- | Kimi K2.6 | 1,150 | 2,880 | 5,750 |
- | Kimi K2.7 Code | 1,350 | 4,630 | 9,250 |
- | MiMo-V2.5 | 30,100 | 75,200 | 150,400 |
- | MiMo-V2.5-Pro | 3,250 | 8,150 | 16,300 |
- | MiniMax M3 | 3,200 | 8,000 | 16,000 |
- | MiniMax M2.7 | 3,400 | 8,500 | 17,000 |
- | Qwen3.7 Max | 950 | 2,390 | 4,770 |
- | Qwen3.7 Plus | 4,300 | 10,800 | 21,600 |
- | Qwen3.6 Plus | 3,300 | 8,200 | 16,300 |
- | DeepSeek V4 Pro | 3,450 | 8,550 | 17,150 |
- | DeepSeek V4 Flash | 31,650 | 79,050 | 158,150 |
- The estimates are based on observed average request patterns:
- - GLM-5.2/5.1 — 700 input, 52,000 cached, 150 output tokens per request
- - Kimi K2.7/K2.6 — 870 input, 55,000 cached, 200 output tokens per request
- - DeepSeek V4 Pro — 750 input, 82,000 cached, 290 output tokens per request
- - DeepSeek V4 Flash — 790 input, 68,000 cached, 280 output tokens per request
- - MiniMax M3 — 510 input, 56,000 cached, 190 output tokens per request
- - MiniMax M2.7 — 300 input, 55,000 cached, 125 output tokens per request
- - MiMo-V2.5 — 830 input, 71,500 cached, 295 output tokens per request
- - MiMo-V2.5-Pro — 790 input, 86,000 cached, 305 output tokens per request
- - Qwen3.7 Max — 420 input, 66,000 cached, 200 output tokens per request
- - Qwen3.7 Plus — 500 input, 57,000 cached, 190 output tokens per request
- - Qwen3.6 Plus — 500 input, 57,000 cached, 190 output tokens per request
- The estimates are also based on the following prices per 1M tokens:
- | Model | Input | Output | Cached Read | Cached Write |
- | ---------------------------- | ----- | ------ | ----------- | ------------ |
- | GLM-5.2 | $1.40 | $4.40 | $0.26 | - |
- | GLM-5.1 | $1.40 | $4.40 | $0.26 | - |
- | Kimi K2.7 Code | $0.95 | $4.00 | $0.19 | - |
- | Kimi K2.6 | $0.95 | $4.00 | $0.16 | - |
- | MiMo V2.5 | $0.14 | $0.28 | $0.0028 | - |
- | MiMo V2.5 Pro | $1.74 | $3.48 | $0.0145 | - |
- | MiniMax M3 | $0.30 | $1.20 | $0.06 | - |
- | MiniMax M2.7 | $0.30 | $1.20 | $0.06 | $0.375 |
- | MiniMax M2.5 | $0.30 | $1.20 | $0.06 | $0.375 |
- | Qwen3.7 Max | $2.50 | $7.50 | $0.50 | $3.125 |
- | Qwen3.7 Plus (≤ 256K tokens) | $0.40 | $1.60 | $0.04 | $0.50 |
- | Qwen3.7 Plus (> 256K tokens) | $1.20 | $4.80 | $0.12 | $1.50 |
- | Qwen3.6 Plus (≤ 256K tokens) | $0.50 | $3.00 | $0.05 | $0.625 |
- | Qwen3.6 Plus (> 256K tokens) | $2.00 | $6.00 | $0.20 | $2.50 |
- | DeepSeek V4 Pro | $1.74 | $3.48 | $0.0145 | - |
- | DeepSeek V4 Flash | $0.14 | $0.28 | $0.0028 | - |
- You can track your current usage in the **<a href={console}>console</a>**.
- :::tip
- If you reach the usage limit, you can continue using the free models.
- :::
- Usage limits may change as we learn from early usage and feedback.
- ---
- ### Usage beyond limits
- If you also have credits on your Zen balance, you can enable the **Use balance**
- option in the console. When enabled, Go will fall back to your Zen balance
- after you've reached your usage limits instead of blocking requests.
- ---
- ## Endpoints
- You can also access Go models through the following API endpoints.
- | Model | Model ID | Endpoint | AI SDK Package |
- | ----------------- | ----------------- | ------------------------------------------------ | --------------------------- |
- | GLM-5.2 | glm-5.2 | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
- | GLM-5.1 | glm-5.1 | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
- | Kimi K2.7 | kimi-k2.7 | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
- | Kimi K2.6 | kimi-k2.6 | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
- | DeepSeek V4 Pro | deepseek-v4-pro | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
- | DeepSeek V4 Flash | deepseek-v4-flash | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
- | MiMo-V2.5 | mimo-v2.5 | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
- | MiMo-V2.5-Pro | mimo-v2.5-pro | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
- | MiniMax M3 | minimax-m3 | `https://opencode.ai/zen/go/v1/messages` | `@ai-sdk/anthropic` |
- | MiniMax M2.7 | minimax-m2.7 | `https://opencode.ai/zen/go/v1/messages` | `@ai-sdk/anthropic` |
- | MiniMax M2.5 | minimax-m2.5 | `https://opencode.ai/zen/go/v1/messages` | `@ai-sdk/anthropic` |
- | Qwen3.7 Max | qwen3.7-max | `https://opencode.ai/zen/go/v1/messages` | `@ai-sdk/anthropic` |
- | Qwen3.7 Plus | qwen3.7-plus | `https://opencode.ai/zen/go/v1/messages` | `@ai-sdk/anthropic` |
- | Qwen3.6 Plus | qwen3.6-plus | `https://opencode.ai/zen/go/v1/messages` | `@ai-sdk/anthropic` |
- The [model id](/docs/config/#models) in your OpenCode config
- uses the format `opencode-go/<model-id>`. For example, for Kimi K2.7 Code, you would
- use `opencode-go/kimi-k2.7-code` in your config.
- ---
- ### Models
- You can fetch the full list of available models and their metadata from:
- ```
- https://opencode.ai/zen/go/v1/models
- ```
- ---
- ## Privacy
- The plan is designed primarily for international users, with models hosted in the US, EU, and Singapore for stable global access. Our providers follow a zero-retention policy and do not use your data for model training.
- ---
- ## Goals
- We created OpenCode Go to:
- 1. Make AI coding **accessible** to more people with a low cost subscription.
- 2. Provide **reliable** access to the best open coding models.
- 3. Curate models that are **tested and benchmarked** for coding agent use.
- 4. Have **no lock-in** by allowing you to use any other provider with OpenCode as well.
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