Cheapest Models to Run OpenClaw in 2026: The Complete Cost Guide
OpenClaw has become the go-to open-source AI coding agent — 250K+ GitHub stars, 1.5M weekly npm downloads, and a 100K+ Discord community. But there’s an open secret: most people are overpaying for the models that power it.
GPT-4o costs $2.50/$10.00 per million tokens. Claude 3.5 Sonnet costs $3.00/$15.00. A heavy coding day can run $10–25 — and that adds up to $200–500/month if you use OpenClaw as your primary coding tool.
Here’s the thing: Chinese AI models now match or beat these benchmarks at 5–25x lower cost. And with NovAI, you can access all of them through one OpenAI-compatible API — no Chinese phone number, no VPN, no Aliyun account.
This guide ranks every model you can run in OpenClaw by cost, with real-world estimates for typical coding tasks.
Good for learning & light tasks
12x cheaper than GPT-4o
The expensive default
Table of Contents
Complete Model Pricing Table
All prices are per 1 million tokens via NovAI, compared to direct pricing from OpenAI/Anthropic. Models ranked from cheapest to most expensive.
| Model | Input / 1M | Output / 1M | Context | Best For |
|---|---|---|---|---|
| GLM-4.6V-Flash FREE | $0.00 | $0.00 | 128K | Learning, simple tasks |
| DeepSeek-V3.2 BEST VALUE | $0.20 | $0.40 | 128K | All-purpose coding |
| MiniMax-Text-01 | $0.20 | $1.60 | 1,000K | Huge codebases, long context |
| GLM-4-Plus | $0.30 | $0.30 | 128K | Balanced coding + chat |
| Qwen-Plus | $0.30 | $0.30 | 128K | General dev tasks |
| Qwen-Max | $0.40 | $1.20 | 32K | Complex reasoning |
| Qwen-Turbo | $0.06 | $0.20 | 128K | High-volume, simple tasks |
| GPT-4o (OpenAI direct) | $2.50 | $10.00 | 128K | When you must use OpenAI |
| Claude 3.5 Sonnet (Anthropic) | $3.00 | $15.00 | 200K | When you must use Claude |
Key Takeaway
DeepSeek-V3.2 at $0.20/$0.40 is the sweet spot. It matches GPT-4o on coding benchmarks (90.2% HumanEval) at 12x lower cost. For 95% of OpenClaw tasks, you will not notice a quality difference.
If you’re budget-constrained, GLM-4.6V-Flash is literally free and handles most simple tasks. And Qwen-Turbo at $0.06/$0.20 is the cheapest paid model for high-volume lightweight work.
Models by Cost Tier
- GLM-4.6V-Flash — 128K context, multimodal (vision), unlimited usage FREE FOREVER
GLM-4.6V-Flash is ZhiPu’s fast model. It handles code generation, explanations, debugging of small functions, and even image understanding. Won’t handle complex multi-file refactoring, but great for getting started without spending a cent.
- Qwen-Turbo — $0.06/$0.20 — fastest, high-volume tasks ~$3/mo typical
- DeepSeek-V3.2 — $0.20/$0.40 — best all-around RECOMMENDED ~$8/mo typical
- GLM-4-Plus — $0.30/$0.30 — balanced alternative ~$10/mo typical
- Qwen-Plus — $0.30/$0.30 — strong general purpose ~$10/mo typical
This tier covers 95% of all coding needs. DeepSeek-V3.2 is the standout — it scores 90.2% on HumanEval, handles multi-file refactoring, writes tests, and generates documentation at enterprise quality. A $5 top-up lasts most developers 2–3 weeks.
- MiniMax-Text-01 — $0.20/$1.60 — 1 MILLION token context window ~$18/mo typical
- Qwen-Max — $0.40/$1.20 — strongest reasoning for architecture decisions ~$15/mo typical
MiniMax-Text-01 is the only model that can truly process an entire codebase in one shot — its 1M context window fits 750K+ lines of code. Use it for large-scale code reviews, migration planning, or when you need to reference dozens of files simultaneously.
Best Model per Use Case
Different OpenClaw tasks have different requirements. Here’s our recommended model for each scenario:
Daily Coding & Features
Quick Fixes & Explanations
Large Codebase Review
Architecture Decisions
Boilerplate & Scaffolding
Learning & Experimentation
Monthly Cost Calculator
Estimate your monthly OpenClaw costs based on how much you code. Drag the slider to match your daily usage:
Estimate Your Monthly Cost
Ready-to-Paste OpenClaw Configs
Copy any of these into ~/.openclaw/openclaw.json. All configs use the same NovAI API key.
Step 1: Get your free API key
Sign up at aiapi-pro.com (30 seconds, email only). Copy your API key and set it as an environment variable:
# Add to ~/.bashrc or ~/.zshrc export NOVAI_API_KEY="your-key-here"
Step 2: Choose your config
Budget Config (Recommended for most users)
DeepSeek-V3.2 as primary + free GLM as fallback. Covers 95% of coding needs at ~$8/month.
// ~/.openclaw/openclaw.json { "models": { "mode": "merge", "providers": { "novai": { "baseUrl": "https://aiapi-pro.com/v1", "apiKey": "${NOVAI_API_KEY:-}", "api": "openai-completions", "models": [ { "id": "deepseek-v3.2", "name": "DeepSeek V3.2 (via NovAI)", "reasoning": false, "input": ["text"], "cost": {"input": 0.0000002, "output": 0.0000004}, "contextWindow": 128000, "maxTokens": 8192 }, { "id": "glm-4.6v-flash", "name": "GLM Flash FREE (via NovAI)", "cost": {"input": 0, "output": 0}, "contextWindow": 128000, "maxTokens": 4096 } ] } } } }
Power User Config (All models)
Every NovAI model available in OpenClaw. Switch between them with /model based on the task.
// ~/.openclaw/openclaw.json — Full Model Access { "models": { "mode": "merge", "providers": { "novai": { "baseUrl": "https://aiapi-pro.com/v1", "apiKey": "${NOVAI_API_KEY:-}", "api": "openai-completions", "models": [ { "id": "deepseek-v3.2", "name": "DeepSeek V3.2 [$0.20/$0.40]", "reasoning": false, "input": ["text"], "cost": {"input": 0.0000002, "output": 0.0000004}, "contextWindow": 128000, "maxTokens": 8192 }, { "id": "qwen-turbo", "name": "Qwen Turbo [$0.06/$0.20]", "cost": {"input": 0.00000006, "output": 0.0000002}, "contextWindow": 128000, "maxTokens": 8192 }, { "id": "qwen-plus", "name": "Qwen Plus [$0.30/$0.30]", "cost": {"input": 0.0000003, "output": 0.0000003}, "contextWindow": 128000, "maxTokens": 8192 }, { "id": "qwen-max", "name": "Qwen Max [$0.40/$1.20]", "cost": {"input": 0.0000004, "output": 0.0000012}, "contextWindow": 32000, "maxTokens": 8192 }, { "id": "glm-4-plus", "name": "GLM-4-Plus [$0.30/$0.30]", "cost": {"input": 0.0000003, "output": 0.0000003}, "contextWindow": 128000, "maxTokens": 8192 }, { "id": "glm-4.6v-flash", "name": "GLM Flash [FREE]", "cost": {"input": 0, "output": 0}, "contextWindow": 128000, "maxTokens": 4096 }, { "id": "minimax-text-01", "name": "MiniMax 1M [$0.20/$1.60]", "cost": {"input": 0.0000002, "output": 0.0000016}, "contextWindow": 1000000, "maxTokens": 8192 } ] } } } }
The Smart Approach: Multi-Model Routing
The cheapest way to run OpenClaw isn’t picking one model — it’s using the right model for the right task. Here’s how experienced developers optimize their costs:
| Task Type | Use This Model | Why | Cost/Task |
|---|---|---|---|
| “Explain this code” | GLM Flash | Simple comprehension task | $0.000 |
| “Fix this bug” (single file) | GLM Flash | Focused, low complexity | $0.000 |
| “Add a new feature” (multi-file) | DeepSeek V3.2 | Needs strong code generation | $0.003 |
| “Refactor this module” | DeepSeek V3.2 | Multi-file reasoning required | $0.005 |
| “Generate 20 unit tests” | Qwen Turbo | Repetitive generation, cheap is fine | $0.001 |
| “Review entire codebase” | MiniMax 1M | Needs massive context window | $0.050 |
| “Design the API layer” | Qwen Max | Complex architectural reasoning | $0.010 |
Pro Tip: The /model Command
In OpenClaw, type /model to switch between configured models on the fly. Keep all NovAI models in your config, then select the cheapest appropriate model for each task. Most developers settle into a rhythm of GLM for quick questions, DeepSeek for real work.
Example Monthly Budget
Here’s what a typical full-time developer’s month looks like with multi-model routing:
| Model | Usage % | Monthly Tokens | Monthly Cost |
|---|---|---|---|
| GLM Flash (free) | 40% | ~12M | $0.00 |
| DeepSeek V3.2 | 45% | ~14M | $5.60 |
| Qwen Turbo | 10% | ~3M | $0.54 |
| Qwen Max / MiniMax | 5% | ~1.5M | $2.10 |
| TOTAL | 100% | ~30M tokens | $8.24/mo |
| Same usage with GPT-4o | $225/mo | ||
That’s a 96% cost reduction with no meaningful quality decrease for day-to-day coding tasks.
Frequently Asked Questions
What is the cheapest model to run OpenClaw?
GLM-4.6V-Flash is completely free through NovAI — unlimited usage, no credit card required. For paid models, Qwen-Turbo at $0.06/$0.20 per million tokens is the cheapest, and DeepSeek-V3.2 at $0.20/$0.40 offers the best quality-to-cost ratio.
Is the free model actually good enough for coding?
For simple tasks like code explanations, small bug fixes, and generating boilerplate — yes. GLM-4.6V-Flash handles single-file edits and Q&A well. For complex multi-file refactoring, architectural decisions, or production-quality test generation, upgrade to DeepSeek-V3.2 which costs only ~$0.003 per interaction.
How much does a typical month cost?
With multi-model routing (free GLM for simple tasks + DeepSeek for complex work), a full-time developer typically spends $5–18/month. That’s compared to $200–500/month with GPT-4o or Claude.
Do I need a Chinese phone number?
No. NovAI only requires email signup. We handle the connection to Chinese AI providers from our Hong Kong infrastructure. No VPN, no Chinese payment methods, no Aliyun account needed.
Can I use NovAI models alongside OpenAI/Anthropic in OpenClaw?
Absolutely. OpenClaw’s "mode": "merge" setting lets you keep all your existing providers. Add NovAI as an additional provider and switch between models with /model. Many users keep GPT-4o for rare edge cases while using DeepSeek for 95% of their work.
What payment methods are accepted?
Currently USDT (TRC20) with a $5 minimum. At $0.20/1M tokens, $5 lasts most developers 2–3 weeks. PayPal support is coming soon.
What about latency?
NovAI runs on Hong Kong infrastructure. Typical time-to-first-token is 40–80ms in Asia-Pacific, 100–150ms in US/EU. For coding tasks, this is imperceptible — you’re waiting for the model to think, not for the network.
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