OpenCode Go + oh-my-openagent: The Complete Guide to SOTA Model Routing Without Hitting Limits! [Updated: September 2026]

September 2026 update: If your August config still parks GPT 5.6 Luna on Hephaestus or DeepSeek V4 Pro on daily work, replace it. Both now sit on a $15 monthly envelope. Grok 4.5 is gone. GLM-5.3 is the new OmO GLM brain, and it is also $15/month, so GLM-5.2 remains the orchestrator you can actually run all day. And stop putting Qwen on Sisyphus.

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OpenCode Go now lists 27 coding models: Kimi K3, GLM-5.3 / 5.3-Flash / 5.2, Qwen3.8 Max/Flash, Grok 4.6, GPT 5.6 Luna, DeepSeek V4 Pro / V4 Flash / V4.1 Flash, MiniMax M3, LongCat-2.0, plus the older volume lanes, for $10/month.

Most subscribers still route everything through a single model. In August that emptied a 5-hour window. In September it can empty the month. Here’s how to use the catalog without doing that.

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What You Get with OpenCode Go (August 2026)

For $10/month, the official docs list these models:

Source: opencode.ai/docs/go, last checked Sep 12, 2026

Reference frontier models (for context):

• Claude Fable 5.1: 81.2% SWE-Pro
• Claude Mythos 5: 80.3% SWE-Pro
• Claude Fable 5: 80.0% SWE-Pro
• Claude Opus 5: 79.2% SWE-Pro, 97.0% SWE-Verified
• GPT-5.6 Sol: 64.6% SWE-Pro, ~96% SWE-Verified
• GPT-5.6 Terra: 63.4% SWE-Pro

On SWE-Bench Pro, Qwen3.8 Max at 67.7% is now the best published Go score I can find, ahead of Hy4 preview (65.7%) and the old Grok 4.5 number (64.7%). GLM-5.2 is still 62.1%. Luna is still 62.7%. That is the OpenAI Terra band, not the Anthropic Fable band.

SWE-Bench Verified is a different story than in August. Grok 4.6 sits at 95.6%, GLM-5.3 at 95.4%, DeepSeek V4 Pro (0813) at 96.4% on vals.ai. Claude Opus 5 is 97.0%. The easy-ticket gap mostly closed. The hard-ticket gap did not. Fable 5.1 at 81.2% SWE-Pro is still about 13 points above the best Go model.

For most production coding work, that is still the right trade-off, if you match the model family to the agent role and respect the monthly caps.

The Problem: The $15 Cap Is the New Trap

OpenCode Go limits are still dollar-based. The 5-hour / weekly / monthly windows are 20% / 50% / 100% of each model’s monthly dollar cap, not a shared $12 / $30 / $60 for every model:

• $60 monthly models (GLM-5.2, MiniMax M3, MiMo-V2.5, GLM-5.3-Flash): $12 / 5hr, $30 weekly, $60 monthly
• $30 monthly (V4 Flash, Qwen3.8 Flash, Qwen3.7 Max, Hy4): $6 / 5hr, $15 weekly
• $15 monthly (K3, GLM-5.3, Grok 4.6, Luna, Qwen3.8 Max, V4 Pro, V4.1 Flash, MiMo-V2.5-Pro): $3 / 5hr, $7.50 weekly

A single agentic coding session burns 50–200 requests (one per tool call, file edit, shell command). Put the orchestrator on Kimi K3 (110 req/5hr) or GLM-5.3 (220 req/5hr) and you’ll hit the wall in one serious session.

Luna is the one that fools people. It still shows 2,050 req/5hr. V4.1 Flash shows 6,500. Those look like volume. They’re $15/month. Luna can empty the month in one fat window. V4 Pro dropped from 3,450 req/5hr in August to 1,050, same $15 cap.

If you put Sisyphus on Qwen3.8 Max “because 67.7% SWE-Pro,” you’ll also fight oh-my-openagent’s own guidance. Qwen is fine for many worker roles. It is not a maintained Sisyphus brain. OmO’s Capable profile is Claude Fable 5.1 → Claude Opus 5 → Kimi K3 → GLM-5.3. Qwen isn’t on that list.

The fix: tiered routing + deep fallback_models chains, with orchestrators from the OmO-supported set. Treat every $15 model as scarce even when the 5-hour column looks fat.

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Sign up with: https://opencode.ai/go?ref=AYQ8245FDE to get $5 off for your first month!

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Step 1: Install OpenCode + Oh My Open Agent

Prerequisites

• OpenCode 1.4.0+ (verify with opencode --version)
• Git, Node.js or Bun
• macOS, Linux, or WSL

Install OpenCode

curl -fsSL https://opencode.ai/install | bash
opencode --version 

Install Oh My Open Agent

bunx oh-my-opencode install

For non-interactive setup (LLM agents, CI):

bunx oh-my-opencode install --no-tui \
  --opencode-go=yes \
  --opencode-zen=yes \
  --claude=no \
  --openai=no \
  --gemini=no \
  --copilot=no

FYI, OmO’s better stack is still OpenCode Go ($10) + a real OpenAI path if Hephaestus / deep / ultrabrain are daily drivers. The Deep work profile leads with GPT-6 Astra, then GPT-5.6 Sol. Luna is on Go, but it’s $15/month, so treat it as a burst.

Pure Go is fine for Sisyphus / Atlas / Oracle / Explore / Librarian if you keep Sisyphus on GLM-5.2.

Verify Installation

opencode --version              # Should be 1.4.0+
bunx oh-my-opencode doctor      # Diagnostics check
opencode models                 # List available models
opencode auth login             # Authenticate providers

In the TUI: /connect → OpenCode Go → paste key, then /models.

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Step 2: Understand the Agents

Oh My OpenAgent still gives you specialized agents (Sisyphus, Hephaestus, Prometheus/Atlas, Oracle, Explore, Librarian, Metis, Momus, etc.). OMO 5 also routes work through categories (architect, deep, quick, visual-engineering, ultrabrain) and can pick the main session model with a model_profile. Each agent wants a different model family, and a different quota.

Orchestrators & Planners

• Sisyphus: main orchestrator → opencode-go/glm-5.2 primary. Ultrawork: Kimi K3, then GLM-5.3
• Prometheus / Atlas: planning + execution conductor → GLM-5.2 / Kimi K2.7 Code
• Oracle: architecture consultant → GLM-5.2 daily; escalate GLM-5.3 / Qwen3.8 Max / Grok 4.6

Deep Workers

• Hephaestus: GPT-native autonomous worker → prefer OpenAI Astra/Sol. Go daily: MiniMax M3. Burst: Luna
• deep / ultrabrain: MiniMax M3 / Qwen3.8 Max / Grok 4.6 (scarce)

Utility & Search Agents

• Explore / Librarian: speed agents → MiMo-V2.5 / LongCat-2.0 / V4 Flash
• quick / writing: GLM-5.3-Flash, Qwen3.8 Flash, MiMo-V2.5

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Step 3: The Tiered Model Architecture (Sep 2026)

The core principle: match model capability (and family fit) to task complexity. Don’t burn your best model on trivial tasks!

FYI, numbering is top to bottom Tier 0 → 1 → 2 → 3 (scarce → complex → standard → volume). Escalate up if stuck. Tier 4 stays specialized.

Tier 0 // Scarce (Surgical Only, $15 monthly)

Models: Kimi K3 (110), Qwen3.8 Max (160), Grok 4.6 (169), GLM-5.3 (220), V4 Pro (1,050), Luna (2,050), MiMo-V2.5-Pro (3,250), V4.1 Flash (6,500)

Use for: Sisyphus ultrawork (K3, then GLM-5.3), Oracle spikes, Qwen3.8 Max as a hard worker (not Sisyphus), Luna bursts, then get off it.

Watch out: Luna and V4.1 Flash look like volume in the 5-hour column. They’re $15/month. One busy window can empty the envelope. V4 Pro is no longer the 3,450-req workhorse from August.

Tier 1 // Complex Agentic (Budgeted, mostly $60)

Models: GLM-5.2 (880, $60), GLM-5.1 (880, $60), Kimi K2.7 Code (1,350, $60), Kimi K2.6 (1,150, $60), Hy4 preview (1,350, $30), Qwen3.7 Max (170, $30)

Use for: Multi-file refactors, long-horizon runs, OmO orchestration primary (GLM-5.2), practical Kimi fallback (K2.7 Code).

NEW #1: GLM-5.3 is the OmO Capable-profile GLM (95.4% SWE-Verified, 88.2% Terminal-Bench 2.1) but 220 req/5hr and $15/month. GLM-5.2 at 62.1% SWE-Pro and 880 req/5hr is the one you can run from 9 to 6.

Tier 2 // Standard Engineering (Balanced)

Models: MiniMax M3 (3,200, $60), MiniMax M2.7 (3,400, $60), Qwen3.6 Plus (3,300, $60)

Use for: Feature implementation, terminal-heavy automation, Hephaestus-style deep category work on Go.

Hidden gem: MiniMax M3 is the daily Hephaestus on a Go-only box. 59.0% SWE-Pro, 3,200 req/5hr, $60/month. That’s the slot Luna had in August.

Tier 3 // Volume Workhorse (Rarely Rate-Limited)

Models: MiMo-V2.5 (30,100, $60), LongCat-2.0 (11,400, $60), V4 Flash (13,000, $30), GLM-5.3-Flash (6,320, $60), Qwen3.8 Flash (5,400, $30), Hy3 / Qwen3.7 Plus (4,300, $60)

Use for: Explore / Librarian, small edits, quick tasks, unspecified-low (GLM-5.3-Flash, not Grok 4.6).

Hidden gem(s):

GLM-5.3-Flash is a Claude-like volume model at 6,320 req/5hr and $60/month (84.3% Terminal-Bench 2.1).

MiMo-V2.5 is the unlimited search agent. V4 Flash fell from 31,650 to 13,000 and is $30/month.

Skip Muse Spark in the default config: 45,300 req/5hr, but Contributor-tier trains on prompts.

Tier 4 // Specialized Capabilities

Models: Grok 4.6 (vision / agentic, $15), V4 Flash Vision Exp ($15), GLM-5.2 / 5.3 (planning), Qwen3.8 Max (hard worker)

Use for: Screenshot-to-code, GPT-shaped bursts on Luna, Prometheus planning on GLM. DeepSeek weekday peak (01:00–04:00 and 06:00–10:00 UTC) doubles V4 / V4.1 Flash / V4 Pro token cost; weekends are off-peak.

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Step 4: Configure Rate Limit Resilience

Enable model_fallback and set up fallback chains so rate limits don’t break your workflow:

{
  "model_fallback": true,
  "runtime_fallback": {
    "enabled": true,
    "retry_on_errors": [400, 429, 503, 529],
    "max_fallback_attempts": 3,
    "cooldown_seconds": 60,
    "timeout_seconds": 30,
    "notify_on_fallback": true
  }
}

When a provider hits rate limits, it’s globally blacklisted for cooldown_seconds. All new sessions skip blacklisted providers until cooldown expires.

429 on GLM-5.2 → Kimi K2.7 Code → GLM-5.3-Flash

FYI, if you also have Zen credits, enable Use balance in the console. Go can then use Zen balance after dollar limits instead of hard-blocking.

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Step 5: The Complete Configuration (Sep 2026)

Save this to ~/.omo/omo.jsonc. OMO 5 migrates a leftover ~/.config/opencode/oh-my-openagent.json once. After that only the ~/.omo file is live.

{
  "$schema": "https://raw.githubusercontent.com/code-yeongyu/oh-my-openagent/dev/assets/omo.schema.json",
  "model_fallback": true,
  "runtime_fallback": {
    "enabled": true,
    "retry_on_errors": [400, 429, 503, 529],
    "max_fallback_attempts": 3,
    "cooldown_seconds": 60,
    "timeout_seconds": 30,
    "notify_on_fallback": true
  },
  "agents": {
    "sisyphus": {
      "model": "opencode-go/glm-5.2",
      "fallback_models": [
        "opencode-go/kimi-k2.7-code",
        "opencode-go/glm-5.1",
        "opencode-go/kimi-k2.6"
      ],
      "ultrawork": {
        "model": "opencode-go/kimi-k3",
        "fallback_models": [
          "opencode-go/glm-5.3",
          "opencode-go/kimi-k2.7-code",
          "opencode-go/grok-4.6"
        ]
      }
    },
    "hephaestus": {
      "model": "opencode-go/minimax-m3",
      "fallback_models": [
        "opencode-go/gpt-5.6-luna",
        "opencode-go/qwen3.8-flash",
        "opencode-go/deepseek-v4-flash"
      ]
    },
    "oracle": {
      "model": "opencode-go/glm-5.2",
      "fallback_models": [
        "opencode-go/glm-5.3",
        "opencode-go/qwen3.8-max",
        "opencode-go/grok-4.6"
      ]
    },
    "prometheus": {
      "model": "opencode-go/glm-5.2",
      "fallback_models": [
        "opencode-go/glm-5.3",
        "opencode-go/qwen3.8-flash",
        "opencode-go/kimi-k2.7-code"
      ]
    },
    "explore": {
      "model": "opencode-go/mimo-v2.5",
      "fallback_models": [
        "opencode-go/longcat-2.0",
        "opencode-go/deepseek-v4-flash",
        "opencode-go/glm-5.3-flash"
      ]
    },
    "librarian": {
      "model": "opencode-go/mimo-v2.5",
      "fallback_models": [
        "opencode-go/longcat-2.0",
        "opencode-go/deepseek-v4-flash",
        "opencode-go/hy3"
      ]
    },
    "metis": {
      "model": "opencode-go/qwen3.8-flash",
      "fallback_models": [
        "opencode-go/glm-5.3-flash",
        "opencode-go/qwen3.7-plus"
      ]
    },
    "momus": {
      "model": "opencode-go/glm-5.3-flash",
      "fallback_models": [
        "opencode-go/qwen3.8-flash",
        "opencode-go/kimi-k2.7-code"
      ]
    },
    "code-reviewer": {
      "model": "opencode-go/glm-5.2",
      "fallback_models": [
        "opencode-go/kimi-k2.7-code",
        "opencode-go/glm-5.3-flash",
        "opencode-go/qwen3.8-flash"
      ]
    }
  },
  "categories": {
    "architect": {
      "model": "opencode-go/glm-5.2",
      "fallback_models": [
        "opencode-go/glm-5.3",
        "opencode-go/grok-4.6"
      ]
    },
    "deep": {
      "model": "opencode-go/minimax-m3",
      "fallback_models": [
        "opencode-go/qwen3.8-max",
        "opencode-go/glm-5.3"
      ]
    },
    "quick": {
      "model": "opencode-go/mimo-v2.5",
      "fallback_models": [
        "opencode-go/longcat-2.0",
        "opencode-go/glm-5.3-flash",
        "opencode-go/deepseek-v4-flash"
      ]
    },
    "unspecified-low": {
      "model": "opencode-go/glm-5.3-flash",
      "fallback_models": [
        "opencode-go/qwen3.8-flash",
        "opencode-go/mimo-v2.5"
      ]
    },
    "unspecified-high": {
      "model": "opencode-go/kimi-k2.7-code",
      "fallback_models": [
        "opencode-go/glm-5.2",
        "opencode-go/minimax-m3",
        "opencode-go/glm-5.3"
      ]
    },
    "writing": {
      "model": "opencode-go/qwen3.8-flash",
      "fallback_models": [
        "opencode-go/glm-5.3-flash",
        "opencode-go/qwen3.7-plus"
      ]
    },
    "visual-engineering": {
      "model": "opencode-go/grok-4.6",
      "fallback_models": [
        "opencode-go/kimi-k3",
        "opencode-go/glm-5.3",
        "opencode-go/qwen3.8-flash"
      ]
    },
    "ultrabrain": {
      "model": "opencode-go/grok-4.6",
      "fallback_models": [
        "opencode-go/qwen3.8-max",
        "opencode-go/glm-5.3",
        "opencode-go/kimi-k3"
      ]
    },
    "artistry": {
      "model": "opencode-go/glm-5.2",
      "fallback_models": [
        "opencode-go/glm-5.3-flash",
        "opencode-go/qwen3.8-flash"
      ]
    }
  }
}

src: https://gist.github.com/jatinkrmalik/e8ee48842c4c8502060f338fd5e398d3

Configuration Breakdown

Sisyphus (Main Orchestrator)

• Primary: opencode-go/glm-5.2, OmO-supported Claude-like orchestrator, 62.1% SWE-Pro, 880 req/5hr, $60/mo
• Fallback: Kimi K2.7 Code (1,350, $60) → GLM-5.1 → Kimi K2.6
• Ultrawork: Kimi K3 → GLM-5.3 → K2.7 Code → Grok 4.6 (all $15 except K2.7)

Hephaestus (Autonomous Deep Worker)

• Primary on Go-only: opencode-go/minimax-m3, 59.0% SWE-Pro, 3,200 req/5hr, $60/mo
• Fallback: Luna (GPT-shaped, $15) → Qwen3.8 Flash → V4 Flash
• If you add OpenAI: pin Hephaestus to GPT-6 Astra or GPT-5.6 Sol

Oracle

• Primary: GLM-5.2 for consults you can afford
• Escalate: GLM-5.3, Qwen3.8 Max, or Grok 4.6

Explore / Librarian

• Both stay on mimo-v2.5 / longcat-2.0 / V4 Flash
• Speed agents. Don’t waste K3, GLM-5.3, or Grok here.

Categories (short)

• architect: GLM-5.2 → GLM-5.3 → Grok 4.6
• deep: MiniMax M3 → Qwen3.8 Max → GLM-5.3
• quick: MiMo-V2.5 → LongCat-2.0 → GLM-5.3-Flash → V4 Flash
• unspecified-low: GLM-5.3-Flash → Qwen3.8 Flash → MiMo-V2.5 (overrides OmO’s Grok default)
• unspecified-high: K2.7 Code → GLM-5.2 → MiniMax M3 → GLM-5.3
• writing / artistry: Qwen3.8 Flash / GLM-5.2 → GLM-5.3-Flash
• ultrabrain / visual-engineering: Grok 4.6 first, then K3 / GLM-5.3 / Qwen3.8 Max

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Step 6: Rate Limit Budgeting

Per 5-Hour Window, with monthly cap (quick map)

Rule of thumb: If a task will take more than ~100 requests, start on MiMo-V2.5 / GLM-5.3-Flash / Qwen3.8 Flash. Escalate to MiniMax M3 or K2.7 Code for standard work. Reserve GLM-5.2 for orchestration. Spend K3 / GLM-5.3 / Grok 4.6 / Luna like espresso shots, not drip coffee.

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Sign up with: https://opencode.ai/go?ref=AYQ8245FDE to get $5 off for your first month!

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Step 7: The Quality Trade-Offs

Without Copilot / Claude Max / OpenAI Sol, you’re on a pure OpenCode Go stack. Stronger than August (GLM-5.3, Grok 4.6, Qwen3.8 Max). Also easier to empty, because several of those sit on $15 monthly caps.

Where You Win ✔

• Cost: $10/month vs $50–200 in stacked Anthropic + OpenAI API bills
• Model diversity: 27 Go models, up from 17 in August
• SWE-Bench Verified: Grok 4.6 (95.6%), GLM-5.3 (95.4%), V4 Pro 0813 (96.4%) sit next to Opus 5 (97.0%) and Sol (~96%)
• SWE-Bench Pro vs OpenAI: Qwen3.8 Max (67.7%) beats Sol (64.6%) on the published Pro board. Luna (62.7%) and GLM-5.2 (62.1%) sit with Terra (63.4%)
• Orchestration: Kimi K3 / GLM-5.3 / GLM-5.2 are OmO-supported Sisyphus brains. 5.2 has the $60 cap
• LiveCodeBench: V4 Pro still leads (~93.5%). Use it as a burst
• Rate limits: MiMo-V2.5 (30,100, $60) for search. GLM-5.3-Flash (6,320, $60) for volume GLM
• Zen balance fallback: optional soft landing after dollar limits

Where You Compromise !?

• Anthropic Pro gap: Fable 5.1 / Mythos / Fable / Opus sit at 79–81% SWE-Pro. Best Go score is 67.7% and 160 req/5hr
• $15 models with fat 5-hour numbers: Luna, V4 Pro, V4.1 Flash, MiMo-V2.5-Pro. August daily-driver configs will empty the month
• Hephaestus without Astra/Sol: MiniMax M3 is the honest Go daily. OmO still prefers GPT-6 Astra / GPT-5.6 Sol
• Qwen-as-orchestrator temptation: 67.7% SWE-Pro ≠ Sisyphus fit. Resist it
• Privacy: Grok 4.6 and Luna retain data 30 days. Muse Spark Contributor trains on prompts. Most open models list 0-day retention. DeepSeek ZDR on Go is valid through September 30, 2026, renewed monthly

Verdict: Against Sol/Terra, Go looks excellent for the money. Against Fable 5.1, expect more iterations on the hardest architecture work.

For most day-to-day coding, a GLM-5.2-led Go stack with MiniMax M3 / GLM-5.3-Flash / MiMo-V2.5 underneath is the right default. Add OpenAI Astra/Sol if Hephaestus is a daily driver. Add Claude only if you need that top SWE-Pro band.

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Step 8: Validate Your Setup

# 1. Check effective model resolution
bunx oh-my-opencode doctor --verbose

# 2. Refresh model capabilities cache
bunx oh-my-opencode refresh-model-capabilities

# 3. Start a test session
cd your-project
opencode

# 4. Confirm Sisyphus resolved to glm-5.2 (or kimi-k3 / glm-5.3 in ultrawork)
# 5. Confirm the live file is ~/.omo/omo.jsonc

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Key Principles (September 2026)

1. Don’t route everything through one model. $15 models are scarce. GLM-5.2 is the sustainable orchestrator. MiMo-V2.5 / GLM-5.3-Flash take volume.
2. Read the monthly column, not just req/5hr. Luna at 2,050 looks like a daily driver. It’s $15/month.
3. Don’t put Qwen/MiniMax/DeepSeek/MiMo on Sisyphus. OmO maintainers explicitly warn against it.
4. Don’t “upgrade” utility agents. Explore/Librarian want MiMo-V2.5, not K3.
5. Use fallback_models everywhere. Chains should be 3-4 deep, with a $60 model at the bottom.
6. Keep concurrency conservative on $15 models. Start at 1–2 parallel tasks.
7. GLM-5.2 is your default Sisyphus/Oracle on Go. GLM-5.3 is ultrawork. Grok 4.6 is scarce frontier. MiniMax M3 is daily Hephaestus.

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Resources for you to read:

• OpenCode Go Docs: https://opencode.ai/docs/go/
• Go models API: https://opencode.ai/zen/go/v1/models
• Oh My Open Agent GitHub: https://github.com/code-yeongyu/oh-my-openagent
• Oh My Open Agent Docs: https://ohmyopenagent.com/en/docs
• Agent-Model Matching: agent-model-matching.md
• Config Schema: oh-my-opencode.schema.json