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Shabnam
Shabnam

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The Free LLM Pairings That Make AI Agents Cost $0/Month

#ai #hermes #agents #openclaw

I've helped a lot of people set up AI agents over the past year. The number one question after "how do I start" is always "how much is this going to cost me?"

The honest answer in June 2026: it can cost you literally nothing.

Not "free trial for 7 days" nothing. Actually zero dollars per month, indefinitely, running a real agent that does real work. The trick is knowing which LLM providers have free tiers generous enough to power an agent, and how to configure them properly.

Here are the four I've tested, what you actually get, and the config to set each one up.

1. Google Gemini Flash: the workhorse

Gemini's free tier is the most generous option for agent workloads right now.

What you get for $0:

  • Gemini 2.5 Flash: 1,500 requests/day, 10 requests/minute
  • Gemini 2.5 Flash-Lite: 1,500 requests/day, 15 requests/minute
  • 1 million token context window (yes, on the free tier)
  • No credit card required

1,500 requests per day is roughly one request per minute for 25 hours straight. For a personal agent doing morning briefings, email triage, or calendar management, you'll use maybe 50 to 100 requests on a busy day. You're nowhere near the ceiling.

To set it up, grab a free API key from Google AI Studio. No billing account needed.

# Your .env or config
GOOGLE_API_KEY=your_key_here
MODEL=gemini-2.5-flash
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For OpenClaw users, your openclaw.json model config looks like:

{
  "provider": "google",
  "model": "gemini-2.5-flash",
  "apiKey": "your_key_here"
}
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The catch: On the free tier, Google may use your prompts to improve their models. If you're sending sensitive data through your agent, this matters. If your agent is checking the weather and summarizing news, it probably doesn't.

My take: This is the best "set it and forget it" option. Flash is fast, capable, handles tool calling well, and 1,500 requests per day is more than most personal agents will ever need.

2. Groq: the speed demon

Groq runs on custom LPU chips designed specifically for inference. The result is absurdly fast responses. We're talking 500+ tokens per second on some models. Your agent feels instant.

What you get for $0:

  • Access to every model on the platform (Llama 4 Scout, Llama 3.3 70B, Qwen3 32B, GPT-OSS, and more)
  • 30 requests per minute
  • 1,000 to 14,400 requests per day depending on the model
  • No credit card required

The daily limit depends on which model you pick. Llama 3.1 8B gets 14,400 requests/day (the most generous). Llama 3.3 70B gets 1,000/day. Llama 4 Scout gets 1,000/day but with 30,000 tokens per minute, which is great for longer agent conversations.

Get your free key at console.groq.com/keys. Email signup, 30 seconds, done.

# Your .env or config
GROQ_API_KEY=your_key_here
MODEL=llama-3.3-70b-versatile
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For OpenClaw:

{
  "provider": "groq",
  "model": "llama-3.3-70b-versatile",
  "apiKey": "your_key_here"
}
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The catch: Groq only runs open-source models. No GPT-4, no Claude, no Gemini. If you need frontier closed-source models, Groq isn't the answer. It's a complement, not a replacement.

My take: If your agent needs to feel responsive (voice interfaces, real-time chat, quick lookups), Groq is unmatched. The 70B model handles most agent tasks well, and the speed makes your agent actually pleasant to interact with.

3. OpenRouter: the free model buffet

OpenRouter aggregates models from dozens of providers and offers a rotating selection of free models. As of June 2026, there are 27+ free models available with no credit card required.

What you get for $0:

  • 27+ free models including DeepSeek R1, Llama 4 Maverick, Qwen3 Coder, Hermes 3, GPT-OSS, and more
  • 20 requests per minute across free models
  • 200 requests per day per model
  • No credit card required
  • Auto-routing via openrouter/free that picks the best available free model for your request

The killer feature is the openrouter/free meta-model. You point your agent at it, and OpenRouter automatically routes each request to whatever free model is available and appropriate. No model selection headaches.

Sign up at openrouter.ai and create an API key. No payment info needed for free models.

# Your .env or config
OPENROUTER_API_KEY=your_key_here
MODEL=openrouter/free
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For OpenClaw (using OpenRouter's OpenAI-compatible endpoint):

{
  "provider": "openrouter",
  "model": "openrouter/free",
  "apiKey": "your_key_here",
  "baseUrl": "https://openrouter.ai/api/v1"
}
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Want a specific free model instead of auto-routing? Append :free to the model ID:

# Use a specific free model
MODEL=deepseek/deepseek-r1-distill:free
# or
MODEL=qwen/qwen3-coder:free
# or
MODEL=meta-llama/llama-4-maverick:free
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The catch: Free models rotate. What's free today might not be free next month. The specific models available change as providers come and go. Don't build a production workflow that depends on one specific free model staying free forever.

My take: Best option if you want variety and the ability to experiment. The auto-routing is genuinely clever. Worst option if you need predictability, because the free model roster shifts.

4. DeepSeek: not free, but basically free

DeepSeek V4 Flash costs $0.14 per million input tokens and $0.28 per million output tokens. Let me put that in real numbers.

A typical agent interaction is about 1,000 tokens total (input + output). At DeepSeek's rates, 1,000 of those interactions costs roughly $0.42. That's 1,000 agent tasks for less than fifty cents.

What you get:

  • 5 million free tokens on signup (no credit card required)
  • V4 Flash at $0.14/$0.28 per million tokens after that
  • 1 million token context window
  • No rate limits (they serve every request they can)
  • Automatic caching that drops repeat-prompt costs by up to 98%

Those 5 million free tokens on signup are enough for roughly 5,000 agent interactions before you spend a single dollar. After that, a typical personal agent user spends $1 to $5 per month.

Get your key at platform.deepseek.com. Email signup, no credit card for the free token grant.

# Your .env or config
DEEPSEEK_API_KEY=your_key_here
MODEL=deepseek-v4-flash
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For OpenClaw:

{
  "provider": "deepseek",
  "model": "deepseek-v4-flash",
  "apiKey": "your_key_here",
  "baseUrl": "https://api.deepseek.com/v1"
}
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The catch: DeepSeek is based in China. If data residency matters for your use case, factor that in. Also, the "basically free" framing only holds for personal/light usage. If you're running a business on it with thousands of daily requests, costs add up (though they're still far cheaper than alternatives).

My take: The best quality-per-dollar ratio in the market right now. V4 Flash punches way above its price point. If you're okay spending a couple dollars a month after the free tokens run out, this is probably the strongest model on this list.

The cheat code: model routing

Here's what the people who've been running agents for months actually do. They don't pick one model. They use different models for different tasks.

The concept is simple: use a cheap/free model for simple stuff (checking calendar, quick lookups, summarizing short text) and a better model for hard stuff (writing long content, complex reasoning, multi-step planning).

Simple tasks  →  Gemini Flash or Groq Llama 8B   →  free
Medium tasks  →  Groq Llama 70B or DeepSeek V4   →  free or nearly free
Hard tasks    →  DeepSeek V4 Flash (thinking mode) →  pennies
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Most agent tasks are simple. Like, 80% of what your agent does in a day is straightforward. That means 80% of your workload runs on a free tier, and the other 20% costs you maybe a dollar a month on DeepSeek.

Some frameworks handle model routing natively. Others need manual config. Either way, the principle is: stop sending "what's on my calendar today" to the same model you use for "analyze this 50-page contract."

The platform angle (no setup required)

Everything above assumes you're self-hosting your agent. Setting up API keys, managing configs, keeping things updated.

If you want to skip all of that, BetterClaw has a free plan where you paste your API key from any of the providers above and your agent just runs. No Docker, no VPS, no config files. One agent, unlimited tasks, every feature included, no credit card. You can literally pair BetterClaw's free plan with Gemini's free API key and have a fully functional AI agent for $0/month total. Indefinitely.

Quick comparison table

Provider Free requests/day Best model (free) Speed Needs credit card
Gemini 1,500 Gemini 2.5 Flash Fast No
Groq 1,000 to 14,400 Llama 3.3 70B / Llama 4 Scout Fastest No
OpenRouter 200 per model Auto-routed (27+ models) Varies No
DeepSeek 5M tokens then ~$0.14/M V4 Flash Fast No

What actually works after 90 days

I've watched a lot of agent setups come and go. The ones that survive past month two share a pattern: one agent, one to three skills, a cheap or free model, doing a boring repetitive job every single day.

Morning briefing. Email triage. Competitor price check. Daily standup summary.

Nobody's free agent setup survives if you're trying to run 8 skills on 3 models with custom memory pipelines. That's how you burn out and quit in week three.

Pick one provider from this list. Give your agent one job. Let it prove itself for a month. Then expand.

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