383 lines
29 KiB
Text
383 lines
29 KiB
Text
---
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title: Go
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description: Low cost subscription for open coding models.
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---
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import config from "../../../config.mjs"
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export const console = config.console
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export const email = `mailto:${config.email}`
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OpenCode Go is a low cost **$10/month subscription** that gives you reliable access to popular open coding models.
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Go works like any other provider in OpenCode. You subscribe to OpenCode Go and
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get your API key. It's **completely optional** and you don't need to use it to
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use OpenCode.
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It is designed primarily for international users and provides stable global access.
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---
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## Background
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Open models have gotten really good. They now reach performance close to
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proprietary models for coding tasks. And because many providers can serve them
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competitively, they are usually far cheaper.
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However, getting reliable, low latency access to them can be difficult. Providers
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vary in quality and availability.
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:::tip
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We tested a select group of models and providers that work well with OpenCode.
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:::
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To fix this, we did a couple of things:
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1. We tested a select group of open models and talked to their teams about how to
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best run them.
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2. We then worked with a few providers to make sure these were being served
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correctly.
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3. Finally, we benchmarked the combination of the model/provider and came up
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with a list that we feel good recommending.
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OpenCode Go gives you access to these models for **$10/month**.
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---
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## How it works
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OpenCode Go works like any other provider in OpenCode.
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1. You sign in to **<a href={console}>OpenCode Zen</a>**, subscribe to Go, and
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copy your API key.
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2. You run the `/connect` command in the TUI, select `OpenCode Go`, and paste
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your API key.
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3. Run `/models` in the TUI to see the list of models available through Go.
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:::note
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Only one member per workspace can subscribe to OpenCode Go.
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:::
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The current list of models includes:
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- **Grok 4.6**
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- **GLM-5.3-Flash**
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- **GLM-5.3**
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- **GLM-5.2**
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- **GLM-5.1**
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- **GPT 5.6 Luna**
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- **Kimi K3**
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- **Kimi K2.7 Code**
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- **Kimi K2.6**
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- **LongCat-2.0**
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- **MiMo-V2.5**
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- **MiMo-V2.5-Pro**
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- **MiniMax M3**
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- **MiniMax M2.7**
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- **Muse Spark 1.3 Contributor** ([limited regions](https://ai.developer.meta.com/legal/geographic-use-policy))
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- **Muse Spark 1.2 Contributor** ([limited regions](https://ai.developer.meta.com/legal/geographic-use-policy))
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- **Qwen3.8 Max**
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- **Qwen3.8 Flash**
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- **Qwen3.7 Max**
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- **Qwen3.7 Plus**
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- **Qwen3.6 Plus**
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- **DeepSeek V4.1 Flash**
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- **DeepSeek V4 Pro**
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- **DeepSeek V4 Flash**
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- **DeepSeek V4 Flash Vision Exp**
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- **Hy4 preview**
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- **Hy3**
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The list of models may change as we test and add new ones.
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---
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## Where can I use it?
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OpenCode Go is designed for [OpenCode](https://opencode.ai) and other coding agents
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that produce similar types of requests. Traffic is monitored for abuse that
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degrades the experience for other users.
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Your client should:
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1. Send typical coding agent traffic
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2. Identify itself with its own user agent, such as `my-coding-agent/1.0`, rather
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than a generic SDK or HTTP-library name.
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3. Send a stable session ID in `x-opencode-session` for each conversation so we can optimize routing and
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prompt caching.
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### Validated Clients
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Besides OpenCode, the following clients have been validated to work properly
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with OpenCode Go. Although we do not guarantee that they will continue to work in the future.
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| Client | Session support |
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| ----------------- | ------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------- |
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| **Hermes** | Builds containing [PR #101864](https://github.com/NousResearch/hermes-agent/pull/101864) send the header on main and auxiliary OpenCode requests. The fix was merged after v0.21.0; that release alone does not include it. |
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| **Claude Code** | Go recognizes its native session header. No custom-header wrapper is needed. |
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| **Codex** | Go recognizes its native session header. Some versions and proxy setups still omit it; preserve the session header when forwarding requests. |
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| **ZCode** | Go recognizes its native session header. Our [request for `x-opencode-session`](https://github.com/zai-org/feedback/issues/492) remains open, but it is no longer necessary to send that specific header. |
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| **Pi** | Current builds send session information for OpenCode. Update older installations. |
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| **jcode** | Update to **v0.81.6 or later**, which includes the [session-header fix](https://github.com/1jehuang/jcode/issues/1167). |
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| **Kilo Code CLI** | Builds containing [PR #13752](https://github.com/Kilo-Org/kilocode/pull/13752) restore OpenCode session headers. This fix covers the CLI, not the VS Code extension. See [issue #13723](https://github.com/Kilo-Org/kilocode/issues/13723). |
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### Known Problematic Clients
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These clients have missing or incomplete session support in the versions we
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investigated. The linked reports track fixes and workarounds.
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| Client | Status and tracking |
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| ----------------------- | ------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------ |
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| **DeepSeek Harness** | Session information arrives on some model paths, but is missing on others. We recognize its native header; the remaining work is to send it across all adapters. [Discussion #5495](https://github.com/deepseek-ai/deepseek-harness/discussions/5495). |
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| **GitHub Copilot Chat** | Automatic session-header support is requested in [VS Code issue #334186](https://github.com/microsoft/vscode/issues/334186). |
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| **Kimi Code** | Automatic session-header support is requested in [issue #3506](https://github.com/MoonshotAI/kimi-code/issues/3506). |
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| **MiMo Code** | [Issue #2317](https://github.com/XiaomiMiMo/MiMo-Code/issues/2317) has a proposed fix in [PR #2327](https://github.com/XiaomiMiMo/MiMo-Code/pull/2327), which has not yet merged. |
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## Usage limits
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Usage limits are defined as monthly dollar amounts. The table below shows the
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monthly limit and token costs for each model.
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Each model has the following usage limits: 5-hour — 20% of the monthly limit;
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weekly — 50%; and monthly — 100%.
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For example, if a model has a $60 monthly limit, you can spend up to:
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- **5-hour limit** — $12 of usage
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- **Weekly limit** — $30 of usage
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- **Monthly limit** — $60 of usage
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Token prices are per 1M tokens.
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| Model | Input | Output | Cached Read | Cached Write | Monthly limit |
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| --------------------------------------- | ------ | ------ | ----------- | ------------ | ---------------------------------------------------- |
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| GLM-5.3-Flash | $0.15 | $0.50 | $0.03 | - | **$60** |
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| GLM-5.3 | $1.40 | $4.40 | $0.26 | - | **$15** |
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| GLM-5.2 | $1.40 | $4.40 | $0.26 | - | **$60** |
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| GLM-5.1 | $1.40 | $4.40 | $0.26 | - | **$60** |
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| Kimi K3 | $3.00 | $15.00 | $0.30 | - | **$15** |
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| Kimi K2.7 Code | $0.95 | $4.00 | $0.19 | - | **$60** |
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| Kimi K2.6 | $0.95 | $4.00 | $0.16 | - | **$60** |
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| LongCat-2.0 | $0.30 | $1.20 | $0.006 | - | **$60** |
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| MiMo V2.5 | $0.14 | $0.28 | $0.0028 | - | **$60** |
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| MiMo V2.5 Pro | $0.435 | $0.87 | $0.003625 | - | **$15** |
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| MiniMax M3 | $0.30 | $1.20 | $0.06 | - | **$60** |
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| MiniMax M2.7 | $0.30 | $1.20 | $0.06 | $0.375 | **$60** |
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| MiniMax M2.5 | $0.30 | $1.20 | $0.06 | $0.375 | **$60** |
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| Muse Spark 1.3 Contributor | $0.10 | $0.20 | $0.002 | - | **$60** |
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| Muse Spark 1.2 Contributor | $0.10 | $0.20 | $0.002 | - | **$60** |
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| Qwen3.8 Max | $2.00 | $6.00 | $0.25 | $2.50 | **$15** |
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| Qwen3.8 Flash | $0.15 | $0.47 | $0.016 | $0.20 | **$30** |
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| Qwen3.7 Max | $2.50 | $7.50 | $0.50 | $3.125 | **$30** |
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| Qwen3.7 Plus (≤ 256K tokens) | $0.40 | $1.60 | $0.04 | $0.50 | **$60** |
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| Qwen3.7 Plus (> 256K tokens) | $1.20 | $4.80 | $0.12 | $1.50 | **$60** |
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| Qwen3.6 Plus (≤ 256K tokens) | $0.50 | $3.00 | $0.05 | $0.625 | **$60** |
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| Qwen3.6 Plus (> 256K tokens) | $2.00 | $6.00 | $0.20 | $2.50 | **$60** |
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| DeepSeek V4.1 Flash (Off-Peak) | $0.15 | $0.60 | $0.003 | - | ~~$15~~ **$60**<br /><small>4x · Ends Sep 20</small> |
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| DeepSeek V4.1 Flash (Peak) | $0.30 | $1.20 | $0.006 | - | ~~$15~~ **$60**<br /><small>4x · Ends Sep 20</small> |
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| DeepSeek V4 Pro (Off-Peak) | $0.66 | $1.98 | $0.022 | - | **$15** |
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| DeepSeek V4 Pro (Peak) | $1.32 | $3.96 | $0.044 | - | **$15** |
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| DeepSeek V4 Flash (Off-Peak) | $0.15 | $0.60 | $0.003 | - | **$30** |
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| DeepSeek V4 Flash (Peak) | $0.30 | $1.20 | $0.006 | - | **$30** |
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| DeepSeek V4 Flash Vision Exp (Off-Peak) | $0.15 | $0.60 | $0.003 | - | **$15** |
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| DeepSeek V4 Flash Vision Exp (Peak) | $0.30 | $1.20 | $0.006 | - | **$15** |
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| Hy4 preview | $0.834 | $2.501 | $0.042 | - | **$30** |
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| Hy3 | $0.14 | $0.58 | $0.035 | - | **$60** |
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| Grok 4.6 (≤ 200K tokens) | $2.00 | $6.00 | $0.50 | - | **$15** |
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| Grok 4.6 (> 200K tokens) | $4.00 | $12.00 | $1.00 | - | **$15** |
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| GPT 5.6 Luna (≤ 272K tokens) | $0.20 | $1.20 | $0.02 | $0.25 | **$15** |
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| GPT 5.6 Luna (> 272K tokens) | $0.40 | $1.80 | $0.04 | $0.50 | **$15** |
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**DeepSeek V4.1 Flash / V4 Pro / V4 Flash / V4 Flash Vision Exp:** Peak hours are 01:00-04:00 and 06:00-10:00 UTC, Monday through Friday; all other hours, including weekends, are Off-Peak. [Learn more](https://api-docs.deepseek.com/quick_start/pricing/).
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**DeepSeek V4 Flash Vision Exp:** Images are converted into tokens based on their dimensions and billed as input tokens alongside text tokens. [Learn more](https://api-docs.deepseek.com/quick_start/pricing/).
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### Estimated requests
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The table below provides an estimated request count based on typical Go usage patterns:
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| Model | requests per 5 hour | requests per week | requests per month |
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| -------------------------------------------------------- | ------------------------- | -------------------------- | --------------------------- |
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| GLM-5.3-Flash | 6,320 | 15,790 | 31,580 |
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| GLM-5.3 | 220 | 540 | 1,080 |
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| GLM-5.2 | 880 | 2,150 | 4,300 |
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| GLM-5.1 | 880 | 2,150 | 4,300 |
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| Kimi K3 | 110 | 250 | 490 |
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| Kimi K2.7 Code | 1,350 | 3,380 | 6,750 |
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| Kimi K2.6 | 1,150 | 2,880 | 5,750 |
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| LongCat-2.0 | 11,400 | 28,600 | 57,200 |
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| MiMo-V2.5 | 30,100 | 75,200 | 150,400 |
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| MiMo-V2.5-Pro | 3,250 | 8,150 | 16,300 |
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| MiniMax M3 | 3,200 | 8,000 | 16,000 |
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| MiniMax M2.7 | 3,400 | 8,500 | 17,000 |
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| Muse Spark 1.3 Contributor | 45,300 | 113,300 | 226,600 |
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| Muse Spark 1.2 Contributor | 45,300 | 113,300 | 226,600 |
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| Qwen3.8 Max | 160 | 400 | 810 |
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| Qwen3.8 Flash | 5,400 | 13,500 | 27,000 |
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| Qwen3.7 Max | 170 | 420 | 840 |
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| Qwen3.7 Plus | 4,300 | 10,800 | 21,600 |
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| Qwen3.6 Plus | 3,300 | 8,200 | 16,300 |
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| DeepSeek V4.1 Flash<br /><small>4x · Ends Sep 20</small> | ~~6,500~~<br />**26,000** | ~~16,250~~<br />**65,000** | ~~32,500~~<br />**130,000** |
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| DeepSeek V4 Pro | 1,050 | 2,600 | 5,200 |
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| DeepSeek V4 Flash | 13,000 | 32,500 | 65,000 |
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| DeepSeek V4 Flash Vision Exp | 6,500 | 16,250 | 32,500 |
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| Hy4 preview | 1,350 | 3,380 | 6,770 |
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| Hy3 | 4,300 | 10,750 | 21,500 |
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| Grok 4.6 | 169 | 423 | 845 |
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| GPT 5.6 Luna | 2,050 | 5,100 | 10,250 |
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The estimates use the following token counts per request; actual usage varies.
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- Grok 4.6 — 390 input, 32,500 cached, 120 output tokens per request
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- GLM-5.3-Flash — 1,000 input, 55,000 cached, 200 output tokens per request
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- GLM-5.3/5.2/5.1 — 700 input, 52,000 cached, 150 output tokens per request
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- GPT 5.6 Luna — 1,000 input, 50,000 cached, 220 output tokens per request
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- Kimi K3 — 1,050 input, 76,500 cached, 300 output tokens per request
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- Kimi K2.7/K2.6 — 870 input, 55,000 cached, 200 output tokens per request
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- LongCat-2.0 — 920 input, 88,900 cached, 200 output tokens per request
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- DeepSeek V4.1 Flash — 410 input, 71,300 cached, 310 output tokens per request
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- DeepSeek V4 Pro — 750 input, 82,000 cached, 290 output tokens per request
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- DeepSeek V4 Flash — 410 input, 71,300 cached, 310 output tokens per request
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- DeepSeek V4 Flash Vision Exp — 410 input, 71,300 cached, 310 output tokens per request
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- MiniMax M3 — 510 input, 56,000 cached, 190 output tokens per request
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- MiniMax M2.7 — 300 input, 55,000 cached, 125 output tokens per request
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- Muse Spark 1.3 Contributor — 620 input, 71,400 cached, 300 output tokens per request
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- Muse Spark 1.2 Contributor — 620 input, 71,400 cached, 300 output tokens per request
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- MiMo-V2.5 — 830 input, 71,500 cached, 295 output tokens per request
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- MiMo-V2.5-Pro — 790 input, 86,000 cached, 305 output tokens per request
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- Qwen3.8 Max — 420 input, 66,000 cached, 200 output tokens per request
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- Qwen3.8 Flash — 600 input, 58,000 cached, 200 output tokens per request
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- Qwen3.7 Max — 420 input, 66,000 cached, 200 output tokens per request
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- Qwen3.7 Plus — 500 input, 57,000 cached, 190 output tokens per request
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- Qwen3.6 Plus — 500 input, 57,000 cached, 190 output tokens per request
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- Hy4 preview — 830 input, 71,500 cached, 295 output tokens per request
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- Hy3 — 830 input, 71,500 cached, 295 output tokens per request
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You can track your current usage in the **<a href={console}>console</a>**.
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:::tip
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If you reach the usage limit, you can continue using the free models.
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:::
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Usage limits may change as we learn from early usage and feedback.
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---
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### Usage beyond limits
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If you also have credits on your Zen balance, you can enable the **Use balance**
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option in the console. When enabled, Go will fall back to your Zen balance
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after you've reached your usage limits instead of blocking requests.
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---
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### Why some models have lower usage
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With Go, you pay $10/month, and the included monthly usage varies by model.
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For most models, we make this work through bulk discounts and reserved GPU capacity. We then pass those savings on to you as higher monthly usage.
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For some models, we haven't had the opportunity to negotiate a discount or host them at a lower cost, either because the model is new or because their public pricing is already discounted.
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For these models, you still get a little more than if you paid the model providers directly; this is why their included monthly usage is lower.
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---
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## Endpoints
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You can also access Go models through the following API endpoints.
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| Model | Model ID | Endpoint | AI SDK Package |
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| ---------------------------- | ---------------------------- | ------------------------------------------------ | --------------------------- |
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| Grok 4.6 | grok-4.6 | `https://opencode.ai/zen/go/v1/responses` | `@ai-sdk/openai` |
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| GPT 5.6 Luna | gpt-5.6-luna | `https://opencode.ai/zen/go/v1/responses` | `@ai-sdk/openai` |
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| GLM-5.3-Flash | glm-5.3-flash | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
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| GLM-5.3 | glm-5.3 | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
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| GLM-5.2 | glm-5.2 | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
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| GLM-5.1 | glm-5.1 | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
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| Kimi K3 | kimi-k3 | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
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| Kimi K2.7 Code | kimi-k2.7-code | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
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| Kimi K2.6 | kimi-k2.6 | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
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| LongCat-2.0 | longcat-2.0 | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
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| DeepSeek V4.1 Flash | deepseek-v4.1-flash | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
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| DeepSeek V4 Pro | deepseek-v4-pro | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
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| DeepSeek V4 Flash | deepseek-v4-flash | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
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| DeepSeek V4 Flash Vision Exp | deepseek-v4-flash-vision-exp | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
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| MiMo-V2.5 | mimo-v2.5 | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
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| MiMo-V2.5-Pro | mimo-v2.5-pro | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
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| MiniMax M3 | minimax-m3 | `https://opencode.ai/zen/go/v1/messages` | `@ai-sdk/anthropic` |
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| MiniMax M2.7 | minimax-m2.7 | `https://opencode.ai/zen/go/v1/messages` | `@ai-sdk/anthropic` |
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| MiniMax M2.5 | minimax-m2.5 | `https://opencode.ai/zen/go/v1/messages` | `@ai-sdk/anthropic` |
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| Muse Spark 1.3 Contributor | muse-spark-1.3-contributor | `https://opencode.ai/zen/go/v1/responses` | `@ai-sdk/openai` |
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| Muse Spark 1.2 Contributor | muse-spark-1.2-contributor | `https://opencode.ai/zen/go/v1/responses` | `@ai-sdk/openai` |
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| Qwen3.8 Max | qwen3.8-max | `https://opencode.ai/zen/go/v1/messages` | `@ai-sdk/anthropic` |
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| Qwen3.8 Flash | qwen3.8-flash | `https://opencode.ai/zen/go/v1/messages` | `@ai-sdk/anthropic` |
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| Qwen3.7 Max | qwen3.7-max | `https://opencode.ai/zen/go/v1/messages` | `@ai-sdk/anthropic` |
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| Qwen3.7 Plus | qwen3.7-plus | `https://opencode.ai/zen/go/v1/messages` | `@ai-sdk/anthropic` |
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| Qwen3.6 Plus | qwen3.6-plus | `https://opencode.ai/zen/go/v1/messages` | `@ai-sdk/anthropic` |
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| Hy4 preview | hy4-preview | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
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| Hy3 | hy3 | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
|
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|
The [model id](/docs/config/#models) in your OpenCode config
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uses the format `opencode-go/<model-id>`. For example, for Kimi K3, you would
|
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use `opencode-go/kimi-k3` in your config.
|
|
|
|
---
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### Models
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|
|
|
You can fetch the full list of available models and their metadata from:
|
|
|
|
```
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https://opencode.ai/zen/go/v1/models
|
|
```
|
|
|
|
---
|
|
|
|
## Privacy
|
|
|
|
| Model | Model training | Data retention |
|
|
| ---------------------------- | -------------- | -------------- |
|
|
| Grok 4.6 | Not used | 30 days |
|
|
| GPT 5.6 Luna | Not used | 30 days |
|
|
| GLM-5.3-Flash | Not used | 0 days |
|
|
| GLM-5.3 | Not used | 0 days |
|
|
| GLM-5.2 | Not used | 0 days |
|
|
| GLM-5.1 | Not used | 0 days |
|
|
| Kimi K3 | Not used | 0 days |
|
|
| Kimi K2.7 Code | Not used | 0 days |
|
|
| Kimi K2.6 | Not used | 0 days |
|
|
| LongCat-2.0 | Not used | 0 days |
|
|
| MiMo-V2.5-Pro | Not used | 0 days |
|
|
| MiMo-V2.5 | Not used | 0 days |
|
|
| Qwen3.8 Max | Not used | 0 days |
|
|
| Qwen3.8 Flash | Not used | 0 days |
|
|
| Qwen3.7 Max | Not used | 0 days |
|
|
| Qwen3.7 Plus | Not used | 0 days |
|
|
| Qwen3.6 Plus | Not used | 0 days |
|
|
| MiniMax M3 | Not used | 0 days |
|
|
| MiniMax M2.7 | Not used | 0 days |
|
|
| Muse Spark 1.3 Contributor | Yes | Not ZDR |
|
|
| Muse Spark 1.2 Contributor | Yes | Not ZDR |
|
|
| DeepSeek V4.1 Flash | Not used | 0 days\* |
|
|
| DeepSeek V4 Pro | Not used | 0 days\* |
|
|
| DeepSeek V4 Flash | Not used | 0 days\* |
|
|
| DeepSeek V4 Flash Vision Exp | Not used | 0 days\* |
|
|
| Hy4 preview | Not used | 0 days |
|
|
| Hy3 | Not used | 0 days |
|
|
|
|
- **Grok 4.6:** ZDR disables important API features that depend on stored data, including the stateful Responses API, Files and Collections, and the Batch API. [Learn more](https://docs.x.ai/developers/faq/security#what-is-zero-data-retention-zdr).
|
|
- **GPT 5.6 Luna:** Abuse monitoring logs are generated for all API feature usage and retained for up to 30 days. [Learn more](https://developers.openai.com/api/docs/guides/your-data#data-retention-controls-for-abuse-monitoring).
|
|
- **Muse Spark 1.3 Contributor:** Heavily discounted token pricing in exchange for permission to use your prompts and completions to train future Meta models. Availability is limited to regions permitted by Meta's [Geographic Use Policy](https://ai.developer.meta.com/legal/geographic-use-policy). [Learn more](https://dev.meta.ai/docs/pricing-rate-limits#contributor-tier).
|
|
- **Muse Spark 1.2 Contributor:** Heavily discounted token pricing in exchange for permission to use your prompts and completions to train future Meta models. Availability is limited to regions permitted by Meta's [Geographic Use Policy](https://ai.developer.meta.com/legal/geographic-use-policy). [Learn more](https://dev.meta.ai/docs/pricing-rate-limits#contributor-tier).
|
|
- **DeepSeek:** ZDR agreement is renewed monthly. The current agreement is valid through September 30, 2026.
|
|
|
|
---
|
|
|
|
## 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.
|