From 4d55d2927b5f4dfae1bca2fce764c483e3be1b8d Mon Sep 17 00:00:00 2001 From: Jack Date: Thu, 2 Apr 2026 23:58:29 +0800 Subject: [PATCH] Add MiMo-V2 models to Go UI and docs Add MiMo-V2-Pro and MiMo-V2-Omni entries to the Go console and documentation. Updated LimitsGraph models array in packages/console to include the two MiMo models (ids, request estimates and latencies). Updated packages/web docs (go.mdx) to list the new models, expand the request-count table with per-period estimates for both models, add their token/usage estimates, and include API endpoint rows for them. Improves visibility and support for the new MiMo models in the UI and docs. --- packages/console/app/src/routes/go/index.tsx | 2 ++ packages/web/src/content/docs/go.mdx | 16 +++++++++++----- 2 files changed, 13 insertions(+), 5 deletions(-) diff --git a/packages/console/app/src/routes/go/index.tsx b/packages/console/app/src/routes/go/index.tsx index c76887cef0fb..a1ddede10928 100644 --- a/packages/console/app/src/routes/go/index.tsx +++ b/packages/console/app/src/routes/go/index.tsx @@ -47,6 +47,8 @@ function LimitsGraph(props: { href: string }) { const models = [ { id: "glm", name: "GLM-5", req: 1150, d: "120ms" }, { id: "kimi", name: "Kimi K2.5", req: 1850, d: "240ms" }, + { id: "mimo-v2-pro", name: "MiMo-V2-Pro", req: 1290, d: "150ms" }, + { id: "mimo-v2-omni", name: "MiMo-V2-Omni", req: 2150, d: "270ms" }, { id: "minimax-m2.7", name: "MiniMax M2.7", req: 14000, d: "330ms" }, { id: "minimax-m2.5", name: "MiniMax M2.5", req: 20000, d: "360ms" }, ] diff --git a/packages/web/src/content/docs/go.mdx b/packages/web/src/content/docs/go.mdx index d864a31cc9d0..6bffb65d8c22 100644 --- a/packages/web/src/content/docs/go.mdx +++ b/packages/web/src/content/docs/go.mdx @@ -65,6 +65,8 @@ The current list of models includes: - **GLM-5** - **Kimi K2.5** +- **MiMo-V2-Pro** +- **MiMo-V2-Omni** - **MiniMax M2.5** - **MiniMax M2.7** @@ -84,17 +86,19 @@ Limits are defined in dollar value. This means your actual request count depends The table below provides an estimated request count based on typical Go usage patterns: -| | GLM-5 | Kimi K2.5 | MiniMax M2.7 | MiniMax M2.5 | -| ------------------- | ----- | --------- | ------------ | ------------ | -| requests per 5 hour | 1,150 | 1,850 | 14,000 | 20,000 | -| requests per week | 2,880 | 4,630 | 35,000 | 50,000 | -| requests per month | 5,750 | 9,250 | 70,000 | 100,000 | +| | GLM-5 | Kimi K2.5 | MiMo-V2-Pro | MiMo-V2-Omni | MiniMax M2.7 | MiniMax M2.5 | +| ------------------- | ----- | --------- | ----------- | ------------ | ------------ | ------------ | +| requests per 5 hour | 1,150 | 1,850 | 1,290 | 2,150 | 14,000 | 20,000 | +| requests per week | 2,880 | 4,630 | 3,225 | 5,450 | 35,000 | 50,000 | +| requests per month | 5,750 | 9,250 | 6,450 | 10,900 | 70,000 | 100,000 | Estimates are based on observed average request patterns: - GLM-5 — 700 input, 52,000 cached, 150 output tokens per request - Kimi K2.5 — 870 input, 55,000 cached, 200 output tokens per request - MiniMax M2.7/M2.5 — 300 input, 55,000 cached, 125 output tokens per request +- MiMo-V2-Pro — 350 input, 41,000 cached, 250 output tokens per request +- MiMo-V2-Omni — 1000 input, 60,000 cached, 140 output tokens per request You can track your current usage in the **console**. @@ -122,6 +126,8 @@ You can also access Go models through the following API endpoints. | ------------ | ------------ | ------------------------------------------------ | --------------------------- | | GLM-5 | glm-5 | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` | | Kimi K2.5 | kimi-k2.5 | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` | +| MiMo-V2-Pro | mimo-v2-pro | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` | +| MiMo-V2-Omni | mimo-v2-omni | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` | | 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` |