Best AI Plans for OpenClaw in 2026

OpenClaw can burn through a plan faster than a normal chat app. A repo-maintenance agent reads files, calls tools, retries commands, keeps context, and may run for minutes. That turns plan selection into a routing problem, not a brand preference.

The recommendations use official vendor docs and OpenClaw provider docs checked on July 11, 2026. Fire Pass isn't in the buying table because Fireworks documents it as invite-only, limited to non-production coding use, and restricted to enabled models on the Fire Pass page. If you already have it, treat it as bonus capacity, not the base of a new OpenClaw budget.^{[1]Reference 1Fireworks Fire Passhttps://docs.fireworks.ai/firepass}

The credible buying set right now is:

• MiniMax Token Plan for the lowest public monthly entry point.
• Qwen Cloud Coding Plan for the broadest single subscription model menu.
• Z.AI GLM Coding Plan for a GLM-first route with OpenClaw-specific docs.
• OpenAI as the premium escape hatch, through Codex auth or direct API billing.^{[2]Reference 2MiniMax Token Plan Pricinghttps://platform.minimax.io/docs/guides/pricing-token-plan[3]Reference 3Qwen Cloud Coding Plan Overviewhttps://docs.qwencloud.com/coding-plan/overview[4]Reference 4GLM Coding Plan Overviewhttps://docs.z.ai/devpack/overview[5]Reference 5OpenAIhttps://docs.openclaw.ai/providers/openai}

What matters

An OpenClaw plan has to survive agent traffic. Five details matter more than benchmark drama:

1. Does OpenClaw document the route?
2. Does the plan count tokens, prompts, requests, or subscription quota?
3. Does the limit reset gradually, weekly, monthly, or not at all?
4. Is the plan limited to personal or interactive coding-tool use?
5. Where does metered pricing start?

Current starting routes to verify:

• MiniMax Token Plan: minimax-portal/MiniMax-M3 for OAuth or minimax/MiniMax-M3 for API-key setup.
• Qwen Cloud Coding Plan: qwen/qwen3.5-plus, the bundled default in OpenClaw docs.
• Z.AI GLM Coding Plan: zai/glm-5.2, with GLM-4.7 as the recommended fallback.
• OpenAI: openai/gpt-5.6-sol for fresh Codex-backed setup, or openai/gpt-5.6 for direct API-key billing. Use openai/gpt-5.5 only when the account doesn't expose GPT-5.6.

Always run openclaw models list after setup. Vendor plan pages and OpenClaw provider catalogs don't always move at the same speed.^{[6]Reference 6MiniMaxhttps://docs.openclaw.ai/providers/minimax[7]Reference 7Qwenhttps://docs.openclaw.ai/providers/qwen[8]Reference 8OpenClaw - Overviewhttps://docs.z.ai/devpack/tool/openclaw[5]Reference 5OpenAIhttps://docs.openclaw.ai/providers/openai}

💡 Key insight: OpenClaw plan selection is routing, not brand picking. Each lane fails differently: rolling quota, hard request stop, queue delay, or rising metered spend.

MiniMax: lowest public monthly entry

MiniMax Token Plan lists Plus at $20/month, Max at $50/month, and Ultra at $120/month. All three use 5-hour rolling and weekly quota windows, cover API Platform models through a Subscription Key, and share quota across supported text, image, speech, and music resources. Purchased Credits are priced at 1,000 credits = $1, and Token Plan quota is used before eligible purchased Credits.^{[2]Reference 2MiniMax Token Plan Pricinghttps://platform.minimax.io/docs/guides/pricing-token-plan}

OpenClaw now defaults its MiniMax provider to MiniMax M3. OAuth setups use minimax-portal/<model>, while API-key setups use minimax/<model>. M2.7 and M2.7 high-speed routes still exist, but M3 is the clean default.^{[6]Reference 6MiniMaxhttps://docs.openclaw.ai/providers/minimax}

Fit and failure mode

Best fit: solo OpenClaw users who want the lowest public monthly starting point and are happy making MiniMax M3 the routine lane.

Watch out for: MiniMax says Token Plan is meant for individual, interactive developer use and recommends pay-as-you-go for production. During peak traffic, it may apply dynamic rate limiting, and the same subscription quota is shared across tools.^{[9]Reference 9MiniMax Token Plan FAQshttps://platform.minimax.io/docs/token-plan/faq}

Qwen Cloud: broadest bundle

Qwen Cloud Coding Plan lists $50/month with 6,000 requests per 5 hours, 45,000 per week, and 90,000 per month. Its current recommended model list includes qwen3.7-plus, kimi-k2.5, glm-5, and MiniMax-M2.5; the broader allowlist also includes qwen3.6-plus, qwen3.5-plus, qwen3-max-2026-01-23, qwen3-coder-next, qwen3-coder-plus, and glm-4.7.^{[3]Reference 3Qwen Cloud Coding Plan Overviewhttps://docs.qwencloud.com/coding-plan/overview}

OpenClaw's bundled Qwen provider still documents qwen/qwen3.5-plus as the default route, and says availability can vary by endpoint and billing plan even when a model appears in the bundled catalog.^{[7]Reference 7Qwenhttps://docs.openclaw.ai/providers/qwen}

Two setup details are easy to get wrong:

• Use a plan-specific sk-sp-... key.
• Use a coding endpoint such as coding-intl.dashscope.aliyuncs.com/v1 for the global OpenAI-compatible path.^{[10]Reference 10Qwen Cloud Coding Plan FAQhttps://docs.qwencloud.com/coding-plan/faq[7]Reference 7Qwenhttps://docs.openclaw.ai/providers/qwen}

Best fit: users who want one subscription lane that can expose Qwen, Kimi, GLM, and MiniMax-family options.

Watch out for: Qwen Coding Plan is for interactive coding tools, not scripts or batch calls. When request quota runs out, Qwen says calls fail directly rather than falling back to pay-as-you-go.^{[10]Reference 10Qwen Cloud Coding Plan FAQhttps://docs.qwencloud.com/coding-plan/faq}

Z.AI: GLM-first lane

Z.AI's GLM Coding Plan starts at $18/month and supports GLM-5.2, GLM-5-Turbo, and GLM-4.7. Its published quota model uses 5-hour and weekly windows: Lite is about 80 prompts per 5 hours and 400 per week, Pro is about 400 and 2,000, and Max is about 1,600 and 8,000. The docs say actual usage varies by task complexity and repository size.^{[4]Reference 4GLM Coding Plan Overviewhttps://docs.z.ai/devpack/overview[11]Reference 11GLM Coding Plan FAQhttps://docs.z.ai/devpack/faq}

The important detail is weighted quota burn. Z.AI says GLM-5.2 and GLM-5-Turbo normally consume 3x quota during peak hours and 2x off-peak, with a limited-time off-peak 1x benefit through the end of September. It recommends GLM-4.7 for routine work and GLM-5.2 for complex tasks.^{[4]Reference 4GLM Coding Plan Overviewhttps://docs.z.ai/devpack/overview[11]Reference 11GLM Coding Plan FAQhttps://docs.z.ai/devpack/faq}

OpenClaw scheduling

Z.AI's OpenClaw guide is unusually explicit: OpenClaw traffic uses secondary scheduling and best-effort delivery, while coding-agent tasks get priority under load. Heavy load can trigger dynamic queueing and fair-use limits.^{[8]Reference 8OpenClaw - Overviewhttps://docs.z.ai/devpack/tool/openclaw}

Best fit: users who specifically want GLM and are comfortable routing simple tasks away from GLM-5.2 to preserve quota.

Watch out for: this isn't an unlimited low-latency lane. It's a GLM subscription with scheduling and model-weighted quota behavior.

OpenAI: premium escape hatch

OpenClaw's OpenAI docs point fresh Codex-backed setups at openai/gpt-5.6-sol. Direct API-key setups use openai/gpt-5.6, which currently resolves to the Sol tier. Accounts without GPT-5.6 access can select openai/gpt-5.5 explicitly.^{[5]Reference 5OpenAIhttps://docs.openclaw.ai/providers/openai}

OpenAI's GPT-5.6 Sol model page lists standard short-context rates at $5.00 per 1M input tokens, $0.50 cached input, and $30.00 output. Requests above 272K input tokens cost 2x for input and 1.5x for output, which yields $10.00 input, $1.00 cached input, and $45.00 output per 1M tokens. Treat those as calculator values for direct API use, separate from Codex subscription access.^{[12]Reference 12GPT-5.6 Sol Modelhttps://developers.openai.com/api/docs/models/gpt-5.6-sol}

Fit and spend risk

Best fit: hard reasoning, stubborn debugging, architectural decisions, and high-impact changes.

Watch out for: output-heavy and long-context agent runs make the direct API bill grow quickly. OpenAI shouldn't be the default route for every file read, directory scan, or retry.

Head-to-Head

MiniMax is the lowest current public monthly entry, but peak-hour shaping and a shared quota pool matter. Qwen Cloud is the broadest one-provider model bundle, but it can hard-stop at quota and depends on the exact allowlist. Z.AI is the GLM-focused primary lane, but OpenClaw traffic runs through best-effort scheduling. OpenAI is the premium fallback, but direct API spend grows fastest under long agent loops.

The short comparison hides the real operational difference: each option fails differently.

If your primary lane hard-stops at quota, prewire fallback before production traffic hits the cap. Queueing providers need visible delay and retry policy; metered lanes need an escalation reason every time the router opens them.

Practical routing plan

Most users don't need four active providers. Start with one subscription lane and one premium escape hatch:

1. Pick MiniMax if lowest monthly entry matters most.
2. Pick Qwen Cloud if you want the broadest subscription model menu.
3. Pick Z.AI if you want GLM as the primary family.
4. Keep OpenAI for hard work and rescue paths.

Add a second subscription only when you can name the exact failure mode: Qwen quota hard stop, MiniMax peak-hour shaping, Z.AI queueing, or missing model coverage.

Guardrails

OpenClaw routing needs policy, not model ids alone. Route routine reads, search, summaries, and small edits to the subscription lane; trim or summarize before escalation; limit automatic retries per task class; and log why each fallback model was used.

The common mistake is treating "fixed price" as unlimited capacity. These plans still have scopes, queues, rolling windows, exact model allowlists, and weighted burn rates. Read the operating limit before routing agent loops through it.

⚠️ Common mistake: Opening the premium API lane for every file read or retry. Log escalation reasons, cap automatic retries per task class, and trim context before you burn metered tokens on routine repo scans.

Recommendation

For most OpenClaw users:

• Start with MiniMax Plus if you want the lowest current public monthly entry point.^{[2]Reference 2MiniMax Token Plan Pricinghttps://platform.minimax.io/docs/guides/pricing-token-plan[6]Reference 6MiniMaxhttps://docs.openclaw.ai/providers/minimax}
• Choose Qwen Cloud Coding Plan if you want the broadest bundled provider route.^{[3]Reference 3Qwen Cloud Coding Plan Overviewhttps://docs.qwencloud.com/coding-plan/overview[7]Reference 7Qwenhttps://docs.openclaw.ai/providers/qwen}
• Choose Z.AI if you specifically want GLM and can tolerate best-effort scheduling.^{[8]Reference 8OpenClaw - Overviewhttps://docs.z.ai/devpack/tool/openclaw[4]Reference 4GLM Coding Plan Overviewhttps://docs.z.ai/devpack/overview}
• Keep OpenAI as the premium fallback, not the default lane.^{[13]Reference 13OpenAI API Pricinghttps://developers.openai.com/api/docs/pricing[12]Reference 12GPT-5.6 Sol Modelhttps://developers.openai.com/api/docs/models/gpt-5.6-sol}

Best stack: one good subscription lane, an optional second lane only after you see a real failure mode, and one premium escape hatch. The routing policy matters as much as the plan. A well-priced agent with bad retry logic will still waste quota; a strong model with no routing discipline will still waste money.