You don't need to pay $2-4 per million tokens to run a capable agent. Several models are free right now, and several more cost $0.10-0.15 per million input tokens. Here's which to pick for each kind of agent work, ranked by what actually matters: tool calling, limits you can live with, and cost.
Last updated: October 23, 2026 (free tiers rechecked; see below)
A lot changed between the June and September versions of this list. Qwen 3.8 shipped with a 27B open-weights model that's free on three platforms. DeepSeek replaced V4 Flash with V4.1 Flash. Xiaomi released MiMo V2.6 Flash. OpenAI launched GPT-6 Luna at $0.10 per million input tokens. Google's current Flash model is now Gemini 3.8 Flash, and it has a free tier.
One correction from June: GLM 5.2 no longer belongs at #1 on a free list. On Z.ai's own API, GLM 5.2 and GLM 5.3 are paid models at $1.40 / $4.40 per million tokens. Z.ai's free models are the smaller GLM-4.7-Flash and GLM-4.5-Flash.
The best free LLMs for AI agents in October 2026 are good enough for production personal agents and plenty of business agents. Here's the ranked list, updated monthly. If you run agents on OpenClaw specifically, our openclaw free models list covers quick-start configs.
The ranking (October 2026)
All prices below are per million tokens (input / output). On October 13, 2026 we rechecked these against the providers' own pricing pages: Gemini 3.8 Flash paid pricing, Qwen 3.8 27B's Groq free-plan limits (and, on October 23, its free availability on OpenRouter and Cerebras), DeepSeek V4.1 Flash, GPT-6 Luna, and Z.ai's GLM 5.3 and GLM 5.3 Flash. Everything else dates from our September 28, 2026 check against the provider's pricing page, the OpenRouter model listing or the Ollama library: the Google AI Studio free tier, OpenRouter's :free variants, Qwen 3.8 Flash on Alibaba Cloud, MiMo V2.6 Flash, Gemma 4, Z.ai's free GLM-4.7-Flash and GLM-4.5-Flash, and MiniMax M3.
#1: Gemini 3.8 Flash (best free hosted model for agents)
Free tier: Yes. Google AI Studio lists Gemini 3.8 Flash input and output as free of charge on the free tier. Rate limits are set per project and shown in AI Studio.
Paid: $0.75 / $3.75 through December 31, 2026, rising to $1.50 / $7.50 from January 1, 2027.
Why it's #1: It's the only current-generation model from a major lab with a real free API tier. Google describes it as its most capable Flash model, built for long-horizon software work and autonomous agents. It has a 1M-token context and accepts text, image, video, audio and file input.
The catch: free-tier traffic is used to improve Google's products. Paid-tier traffic is not. Develop on the free tier, and move to a paid key before your agent handles anything you wouldn't want reviewed.
Best for: Development, testing, personal agents, multimodal agents, Google Workspace workflows.
Agent suitability: A tier. If Google keeps the free tier available, this is the easiest place to start.
#2: Qwen 3.8 27B (best free open-weights model)
Cost: Free in three ways:
- Locally via Ollama (
qwen3.8:27b, an 18 GB download with a 256K context, with tools, vision and thinking support) - On Groq's free plan: 30 requests a minute, 1,000 a day, 8,000 tokens a minute, 200,000 tokens a day (Groq's paid tier is $0.80 / $4.00 with a 131K context)
- On Cerebras's free trial tier: 5 requests a minute and 1 million tokens a day, at roughly 1,850 tokens a second (OpenRouter dropped its
:freevariant;qwen/qwen3.8-27bis now paid there at $0.20 / $2.50)
License: Apache 2.0.
Paid fallback: Qwen 3.8 Flash on Alibaba Cloud at $0.15 / $0.47 with a 1M context.
Why it's #2: A modern, tool-calling model you can run on your own hardware or through two free hosted APIs. That makes it the most flexible free option on this list. It handles text, image and video input.
The catch: Groq's 8,000 tokens per minute can be less than a single agent turn once a large system prompt, tool definitions and history are included. Local runs need serious hardware for an 18 GB model. And if tool calls hang under Ollama, read why Qwen 3.8 27B tool calls hang in agents before blaming the model.
Best for: Local and private agents, coding helpers, classification, speed-sensitive work on Groq.
Agent suitability: A tier locally. B tier on Groq's and Cerebras's free tiers because of their per-minute caps.
#3: DeepSeek V4.1 Flash (cheapest capable paid model)
Cost: $0.15 / $0.60 off-peak and $0.30 / $1.20 at peak. Peak is 01:00-04:00 and 06:00-10:00 UTC on weekdays, and everything else is off-peak. Cache hits cost $0.006 per million at peak and $0.003 off-peak.
At $0.15 per million, 100 tasks a day at about 10,000 input tokens each comes to about $4.50 a month in input costs. That's practically free for personal and light business use.
Why it's #3: 1M context, tool calls, JSON output and both thinking and non-thinking modes, at a fraction of a cent per task. The weights are MIT-licensed on Hugging Face. The old deepseek-v4-flash model name still works, but DeepSeek now serves those requests with V4.1 Flash, so use deepseek-flash in new configs.
Best for: Email classification, data extraction, ticket routing, summarization, heartbeats and sub-agents. It's the budget tier in a multi-model routing setup.
Agent suitability: A tier for structured, high-volume tasks. Use a stronger model for complex multi-step reasoning.
#4: GPT-6 Luna (cheapest model from a frontier lab)
Cost: $0.10 / $0.50, with cached input at $0.01. There's no free tier.
Why it's #4: Released September 22 alongside GPT-6 Sol. It has the lowest input price of any model on this list, a 1.05M-token context, image and file input, and tool calling. It's also the easiest cheap option if you'd rather keep your data with a US provider.
Best for: High-volume classification and extraction, heartbeats, sub-agents, and cheap fallbacks behind a GPT-6.1 Sol or Claude primary.
Agent suitability: A tier for routine work. We haven't benchmarked it on long tool chains yet.
#5: MiMo V2.6 Flash (lowest output price)
Cost: $0.14 / $0.28 on OpenRouter.
Why it's #5: Xiaomi's September release has the lowest output price on this list, a 1M-token context, and text, image, video and audio input. The weights are MIT-licensed. But at 309B total parameters (15B active) it's not a home-hardware model.
Best for: Output-heavy agents (drafting, summarizing, report generation) where output tokens dominate the bill.
Agent suitability: B+ tier. It's new, so test it on your own workflows before trusting it with long tool chains. For the bigger 1T-parameter sibling, see our MiMo-V2.6-Pro agent setup and cost guide.
#6: Gemma 4 12B (best small local model)
Cost: Completely free. Runs on your own hardware via Ollama (gemma4:12b, a 7.6 GB download with a 256K context). The larger Gemma 4 models are also free on OpenRouter (google/gemma-4-31b-it:free) and on the Gemini API free tier.
Why it's #6: The smallest model here that still covers tools, vision, audio and thinking, according to its Ollama capability tags. It fits on far more laptops than Qwen 3.8 27B. Apache 2.0.
Best for: Local multimodal agents, conversational agents, summarization, privacy-sensitive personal automation. For hardware beyond a laptop, see our guide to hardware for local models.
Agent suitability: B+ tier. Capable for its size, but expect more tool-call mistakes than the larger models above. Our Gemma 4 vs Qwen comparison goes deeper on the small-model trade-offs.
#7: GLM on Z.ai (free small models, cheap flagship)
Free: GLM-4.7-Flash and GLM-4.5-Flash are listed as free on Z.ai's API.
Near-free: GLM 5.3 Flash at $0.15 / $0.50, with text, image and video input.
Paid flagship: GLM 5.3 at $1.40 / $4.40 ($0.26 cached input) with a 1M+ context (GLM 5.2 costs the same).
Why it's #7: The free GLM models are a no-cost way to run simple agent tasks on a hosted API. GLM 5.3 Flash is a strong cheap tier. The flagship GLM 5.3 is no longer "free" by any reasonable definition, but at $1.40 input it undercuts Sonnet 5.5 and GPT-6.1 Sol. See our GLM 5.2 vs Sonnet 4.6 comparison for how the GLM 5.x line handles agent work.
Agent suitability: B tier for the free Flash models. A tier for GLM 5.3 as a paid mid-tier model.
Honorable mention: MiniMax M3. At $0.30 / $1.20 with a 1M context and image and video input, it now sits between the budget tier and GLM 5.3. Our M3 cost breakdown covers it in detail.
The quick comparison table (screenshot this)
| Model | Free option | Paid price (per 1M) | Context | Input types | Best agent task |
|---|---|---|---|---|---|
| Gemini 3.8 Flash | AI Studio free tier | $0.75 / $3.75 (to Dec 31) | 1M | Text, image, video, audio | Development, personal agents |
| Qwen 3.8 27B | Local, Groq free, Cerebras free trial | Qwen 3.8 Flash $0.15 / $0.47 | 256K local | Text, image, video | Private and local agents |
| DeepSeek V4.1 Flash | None (open weights) | $0.15 / $0.60 off-peak | 1M | Text, image | Classification, heartbeats |
| GPT-6 Luna | None | $0.10 / $0.50 | 1.05M | Text, image, file | High-volume routine tasks |
| MiMo V2.6 Flash | None (open weights) | $0.14 / $0.28 | 1M | Text, image, video, audio | Output-heavy tasks |
| Gemma 4 12B | Local (Ollama) | n/a | 256K | Text, image, audio | Small local multimodal |
| GLM-4.7-Flash / GLM 5.3 Flash | GLM-4.7-Flash free on Z.ai | GLM 5.3 Flash $0.15 / $0.50 | varies | Text (5.3 Flash: + image, video) | Simple hosted tasks |
The question isn't "which free model is best?" It's "which free model is best for THIS task?" Use Gemini 3.8 Flash while you build. Use Qwen 3.8 27B or Gemma 4 when data can't leave your machine. Use DeepSeek V4.1 Flash, GPT-6 Luna or MiMo V2.6 Flash for volume.
How to actually use these models for free
The near-$0/month personal agent stack
Morning briefing: Gemini 3.8 Flash free tier. Read the calendar, summarize, write a digest.
Email triage: Qwen 3.8 27B, locally or on Groq's free plan. Your inbox stays off Google's free tier, and personal email volume fits within the free request caps.
Expense tracking: DeepSeek V4.1 Flash. Extract receipt data from Gmail for well under $1 a month at personal volume.
Meeting prep: Gemini 3.8 Flash free tier. Look up attendees, pull email threads, write a brief.
Content research: GPT-6 Luna or MiMo V2.6 Flash. Browsing and summarization for a dollar or two a month.
Total: roughly $0-3 a month for five working agents. Running Claude Sonnet 5.5 on everything would cost several times that.
For the full build guide on each, see our 5 personal agents you can build this weekend.
If you want all five agents in one dashboard without juggling API keys across providers, BetterClaw is a no-code AI agent builder with unlimited skills and BYOK on every plan. The Free plan gives you 1 agent and 100 credits a month. Pro is $49/month for 5 agents.
What free models CAN'T do (the honest part)
Complex multi-step tool chains. When an agent has to chain four or more tools with conditional logic, small and free-tier models make more mistakes than Claude Sonnet 5.5 or GPT-6.1 Sol. If a wrong tool call costs you money, the premium model pays for itself.
Customer-facing tone. Free models write competent but generic text. If your agent writes to customers, a stronger paid model is usually worth it for tone and instruction-following.
Guaranteed uptime and privacy. Free tiers have rate limits, occasional outages and no SLA. Some, like the Gemini API free tier, use your traffic to improve their products. For agents that must run 24/7 or touch sensitive data, use a paid tier or a local model.
The best approach is to start free, find where the quality gaps actually cost you, and upgrade only those tasks. Most builders who start with a premium model for everything find that routine work (classification, extraction, summaries) runs fine on the models above.
When this ranking changes (and how we update it)
This ranking is updated monthly. The September 2026 update added Qwen 3.8, DeepSeek V4.1 Flash, MiMo V2.6 Flash, GPT-6 Luna and Gemini 3.8 Flash. The October 2026 update rechecked Gemini 3.8 Flash, Groq, DeepSeek, OpenAI and Z.ai pricing and moved the premium benchmark from Claude Sonnet 5 to Sonnet 5.5 (same $2 / $10).
For the next update we'll check: the Gemini 3.8 Flash price rise on January 1, 2027, changes to Groq's free-plan model list, which :free variants OpenRouter keeps, and any new free tiers. What cost $3 per million tokens a year ago costs $0.10-0.15 today. That trend isn't slowing.
Give BetterClaw a look if you want these models running as agents without managing a stack of API configurations. The Free plan is 1 agent with 100 credits a month and BYOK. Pro is $49/month for 5 agents, with a 7-day free trial on your first workspace. We handle the connections. You handle the agent logic.
Frequently Asked Questions
What is the best free LLM for AI agents in 2026?
As of October 2026, Gemini 3.8 Flash is the best free hosted option: Google AI Studio's free tier covers it at no cost, with a 1M-token context and multimodal input. The best free open-weights option is Qwen 3.8 27B (Apache 2.0), which you can run locally with Ollama or use free on Groq's free plan and Cerebras's free trial tier. For a smaller local model, Gemma 4 12B is a 7.6 GB download with tool, vision and audio support.
Can I run AI agents for free?
Yes. A personal agent stack using Gemini 3.8 Flash's free tier, a free Qwen 3.8 27B endpoint and a local Gemma 4 model costs $0 a month in model fees for light use. Adding DeepSeek V4.1 Flash ($0.15 per million input tokens off-peak) or GPT-6 Luna ($0.10) for high-volume work adds a few dollars a month. The platform layer can be free too: BetterClaw's free AI agent plan includes 1 agent and 100 credits a month with no card.
Which free LLM is best for tool calling in agents?
Among the free options, Qwen 3.8 27B and Gemini 3.8 Flash both support native tool calling. Qwen 3.8 27B is the one you can also run locally. On Groq's free plan the 8,000 tokens-per-minute cap limits long tool chains, so a local install works better for agents with big prompts. For the most reliable tool calling on long chains, paid models like Claude Sonnet 5.5 or GPT-6.1 Sol ($2 / $10) are still the safer choice.
How do free LLMs compare to Claude Sonnet 5.5 for agents?
Free and near-free models handle most routine agent tasks well (classification, extraction, summarization, simple lookups) at a small fraction of Sonnet 5.5's $2 / $10 price. Sonnet 5.5 is the better choice for complex multi-step tool chains, customer-facing writing and nuanced instruction-following. The practical approach: free or Flash-class models for structured tasks, Sonnet 5.5 for precision tasks.
Is it safe to use free LLMs for business agents?
The models themselves are as safe as paid ones. The differences are reliability and data handling. Free tiers have rate limits, no SLA and sometimes use your traffic for training or product improvement (the Gemini API free tier does). For business-critical agents, use a paid tier (even DeepSeek V4.1 Flash at $0.15 per million or GPT-6 Luna at $0.10) or a local model. On BetterClaw, every plan includes sandboxed execution, a kill switch and AES-256 encryption, whichever model powers the agent.
