AI tools change pricing and features faster than anyone can track. AI Tool Scout checks official sites, cuts through the marketing, and tells you what a tool really costs — and what you can use instead for free.
Pricing and limits are verified against official sources, not guesswork.
Reviews are refreshed as free trials vanish and prices change.
Every review answers the real question: what's the best free option?
AI tools are grouped by what they do — and non-AI software has its own section so you always know what you're looking at.
1.6 trillion parameters, about 48B active per token, a 1M context and $0.30/$1.20 per million tokens — a sixteenth of Opus 5.5 per token. Every benchmark is Meituan's own, and the weights are still a promise with no date.
Read the review →58 on the independent index and 20% cheaper than Opus 5 at $4 in and $20 out per million tokens. At maximum effort the same third party measures $10.04 per task against $2.45 at medium, and Claude's text now carries a watermark you cannot see.
Read the review →1.05 trillion parameters with 52 billion active, a 1M context and $0.70 per million input tokens, with weights you can download. It scores 26 on the independent index: the best open model outside China, and still six points behind DeepSeek and GLM.
Read the review →It ranks first on the independent intelligence index at 59 and costs $2 per million input tokens. On launch day only a subset of cyber defenders can reach it, Google published no context window and no model ID, and the price doubles to $4 / $20 with no end date.
Read the review →$1 per million input and $5 per million output, a 1.05M-token context and computer use, at half the price of GPT-6.1 Sol. It sits 25th on the independent intelligence index, and prompts over 272K input tokens are billed at double rates.
Read the review →A post-trained K3: 2.8T parameters, 104B active, a 1M-token context and $2/$10 per million tokens. It scores 55 on the independent intelligence index, but the weights are a 4 November promise and every benchmark is vendor-run.
Read the review →A diffusion model that writes in parallel: 1,068 tokens per second, a 1M-token context and $0.10/$0.35 per million tokens at launch. Every benchmark is self-reported, and it still loses to Claude Haiku 5.5 on DeepSWE.
Read the review →A 428B MoE with 23B active, a 1M-token context and flat $0.15/$0.60 per million tokens. MiniMax cut agent-task cost by 70% and says it is 3x faster, but every benchmark is vendor-reported and the weights are not out yet.
Read the review →A 763B model with 8B active parameters, a 1M-token context and MIT weights you can download. It scores 77.0 on DeepSWE against Claude Opus 5 at 74.0, at the same price as the September version. The reasoning gap is still wide.
Read the review →Meta calls it the most capable US open-weight model: 816B parameters, a 1M-token context and a gated download. It wins on tool use, but it loses to Kimi K3 on coding, and one independent agent benchmark puts it at just 8.1%. Here is what it really costs to run.
Read the review →2.8 trillion parameters, a 1M-token context and the highest score of any open-weights model. The catch is 1.56TB of weights: open is not the same as runnable. Here is the API price, the real self-hosting bill, and who should use which.
Read the review →Google's new flagship tops the Vals Index and has the lowest hallucination rate measured — but independent scoring puts it behind Claude Opus 5.5, and the $2/$10 introductory price doubles on 30 November. Here is what it actually costs and where it actually wins.
Read the review →Voice in, voice out, tool calls in between: three transcription tiers from $0.0035 a minute, TTS at $13 per million characters and a LiveKit agent SDK at $0.04 a minute. The realtime model still trails Gemini on word error rate.
Read the review →The free tier is a real product — 300 minutes a month with AI summaries and Zoom/Meet/Teams integration. But nothing is truly unlimited: even Pro caps file imports at 300 minutes per person, per month. Here is what you actually get, and 5 alternatives.
Read the review →Meta's first true frontier model prices at ~$4/$20 per million tokens, but independent scoring puts it below GPT-6 Astra and Claude Opus 5.5 — and the strongest checkpoint, Wonder Full, has no API price at all. Here is what you actually get, and where the benchmarks stop matching reality.
Read the review →OpenAI's always-on agents each get their own cloud computer and 4,000+ app connections — but the first dot only comes with a $100/month Pro plan. Free, Go and Plus are all excluded, and Pro dots are blocked in the UK, EEA and Switzerland. Here is what you actually pay, and 5 alternatives.
Read the review →Meta's personal agent hit #1 on both app stores and passed 3.4 million downloads in three weeks — but it is only available in the US and Canada, and the free tier reportedly still needs a card on file. Plus Muse Code at $5/month against $200 rivals, and 5 alternatives.
Read the review →Non-AI business software — reviewed with the same data-checked standard.
1.6 trillion parameters, about 48B active per token, a 1M context and $0.30/$1.20 per million tokens — a sixteenth of Opus 5.5 per token. Every benchmark is Meituan's own, and the weights are still a promise with no date.
Read the review →58 on the independent index and 20% cheaper than Opus 5 at $4 in and $20 out per million tokens. At maximum effort the same third party measures $10.04 per task against $2.45 at medium, and Claude's text now carries a watermark you cannot see.
Read the review →1.05 trillion parameters with 52 billion active, a 1M context and $0.70 per million input tokens, with weights you can download. It scores 26 on the independent index: the best open model outside China, and still six points behind DeepSeek and GLM.
Read the review →It ranks first on the independent intelligence index at 59 and costs $2 per million input tokens. On launch day only a subset of cyber defenders can reach it, Google published no context window and no model ID, and the price doubles to $4 / $20 with no end date.
Read the review →$1 per million input and $5 per million output, a 1.05M-token context and computer use, at half the price of GPT-6.1 Sol. It sits 25th on the independent intelligence index, and prompts over 272K input tokens are billed at double rates.
Read the review →A post-trained K3: 2.8T parameters, 104B active, a 1M-token context and $2/$10 per million tokens. It scores 55 on the independent intelligence index, but the weights are a 4 November promise and every benchmark is vendor-run.
Read the review →Voice in, voice out, tool calls in between: three transcription tiers from $0.0035 a minute, TTS at $13 per million characters and a LiveKit agent SDK at $0.04 a minute. The realtime model still trails Gemini on word error rate.
Read the review →A diffusion model that writes in parallel: 1,068 tokens per second, a 1M-token context and $0.10/$0.35 per million tokens at launch. Every benchmark is self-reported, and it still loses to Claude Haiku 5.5 on DeepSWE.
Read the review →A 428B MoE with 23B active, a 1M-token context and flat $0.15/$0.60 per million tokens. MiniMax cut agent-task cost by 70% and says it is 3x faster, but every benchmark is vendor-reported and the weights are not out yet.
Read the review →A 763B model with 8B active parameters, a 1M-token context and MIT weights you can download. It scores 77.0 on DeepSWE against Claude Opus 5 at 74.0, at the same price as the September version. The reasoning gap is still wide.
Read the review →Meta calls it the most capable US open-weight model: 816B parameters, a 1M-token context and a gated download. It wins on tool use, but it loses to Kimi K3 on coding, and one independent agent benchmark puts it at just 8.1%. Here is what it really costs to run.
Read the review →2.8 trillion parameters, a 1M-token context and the highest score of any open-weights model. The catch is 1.56TB of weights: open is not the same as runnable. Here is the API price, the real self-hosting bill, and who should use which.
Read the review →Google's new flagship tops the Vals Index and has the lowest hallucination rate measured — but independent scoring puts it behind Claude Opus 5.5, and the $2/$10 introductory price doubles on 30 November. Here is what it actually costs and where it actually wins.
Read the review →Meta's first true frontier model prices at ~$4/$20 per million tokens, but independent scoring puts it below GPT-6 Astra and Claude Opus 5.5 — and the strongest checkpoint, Wonder Full, has no API price at all. Here is what you actually get, and where the benchmarks stop matching reality.
Read the review →OpenAI's always-on agents each get their own cloud computer and 4,000+ app connections — but the first dot only comes with a $100/month Pro plan. Free, Go and Plus are all excluded, and Pro dots are blocked in the UK, EEA and Switzerland. Here is what you actually pay, and 5 alternatives.
Read the review →Meta's personal agent hit #1 on both app stores and passed 3.4 million downloads in three weeks — but it is only available in the US and Canada, and the free tier reportedly still needs a card on file. Plus Muse Code at $5/month against $200 rivals, and 5 alternatives.
Read the review →The free tier is a real product — 300 minutes a month with AI summaries and Zoom/Meet/Teams integration. But nothing is truly unlimited: even Pro caps file imports at 300 minutes per person, per month. Here is what you actually get, and 5 alternatives.
Read the review →The best at rendering readable text inside images — but the free tier is now only ~10 slow credits per week, and everything you make is public. Here is what you actually get, and 5 alternatives.
Read the review →Notion AI is now bundled into the Business plan (~$20/member/mo) — the standalone ~$8-10 add-on is gone. Here is what the free tier actually gives you, the credit system, and 5 alternatives.
Read the review →OpenAI's new flagship costs 2.5x GPT-5.6 and needs a $100/mo plan for chat access — a real leap for agentic work, overpriced for everyday use.
Read the review →xAI's Grok 4.6: a genuinely free tier, real-time X and web data, and API pricing from ~$2/$6 per 1M tokens — plus where it falls short of ChatGPT.
Read the review →Free tier with 2,000 completions a month, Pro from ~$10 — and the June 2026 switch to usage-based credits that heavy agent users should know about.
Read the review →OpenAI shut down Sora in March 2026. Here's what happened and the genuinely free video generators to use instead.
Read the review →Alibaba's Qwen is one of the few truly free, no-ad AI chatbots — and its API is among the cheapest on the market.
Read the review →The most famous writing assistant — the free plan is genuinely useful, Pro $12/mo. Here's what it really costs and the free alternatives.
Read the review →Gen-4.5 is top-tier AI video — but the free tier is 125 one-time credits and Standard covers only ~52 seconds a month. Here's the real cost and the free alternatives.
Read the review →The most genuinely free bookkeeping platform for small businesses — unlimited invoicing at $0. Here's what it costs and the free alternatives.
Read the review →The easiest design tool on earth — free plan with daily AI credits, Magic tools built in. Here's what it costs and the free alternatives.
Read the review →The strongest fully free AI assistant — unlimited use, deep Google integration. Here's what it costs and the free alternatives.
Read the review →The completely free assistant with top-tier reasoning and coding — no ads, no paywall. Here's why it matters.
Read the review →The best writer among AI assistants — generous free plan, 200K context, and Claude Cowork. Here's what it costs and the free alternatives.
Read the review →Who's cheapest per million tokens, and the 7 tricks that cut most AI bills 60-90%.
Read the guide →Hand-picked free AI tools for chatbots, images, photo editing, video, audio, productivity, coding and research — with honest notes on what each free tier really gives you.
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