LetBrand

problems (o3, DeepSeek R1, Sonar Reasoning)."},{"question":"Which provider has the largest context window?","answer":"The model with the largest context window can change as providers release new versions. Use the \"Context Windows\" tool above to see the current ranking and check how many tokens your content weighs."},{"question":"Are there open-source models cheaper than GPT?","answer":"Yes. Llama 4 (Meta), DeepSeek V3, Qwen 3.5 and Mistral are open or open-weight and can be self-hosted. DeepSeek V3 on API costs about 1% of GPT-5.4 with comparable quality in many cases. If you handle sensitive data, an on-prem or VPC deployment with Llama 4 Maverick can beat any hosted API above a certain volume."},{"question":"How do I cut AI costs in my application?","answer":"Five levers: (1) cache system prompts (saves 50-90%), (2) batch API for non-urgent requests (50% off), (3) smaller model for simple tasks and flagship only when needed (complexity router), (4) trim prompts and cap output tokens, (5) fine-tune or use RAG instead of re-sending the same context every call. At Letbrand we audit each lever and typically cut costs by 40-80%."},{"question":"What is a \"reasoning model\" (o3, DeepSeek R1)?","answer":"They're models trained to think step by step before answering, generating an internal chain of reasoning. Slower and pricier per token than standard models, but much better at math, logic and hard code. Use them selectively: not worth it for a customer-support bot, but great for technical analysis, debugging or autonomous agents."},{"question":"How do you at Letbrand pick the model for a client?","answer":"We map the use case against three axes: required quality, acceptable latency and monthly cost. We A/B 2-3 candidates on a real client dataset and measure accuracy + cost + latency. Then we wire caching, complexity routing and observability. The result is typically 40-80% cheaper than the obvious first pick. Want us to do it for you? Let's talk."}]},"currency":{"select":"Select currency","groups":{"americas":"Americas","europe":"Europe","asiaPacific":"Asia / Pacific","middleEast":"Middle East"}},"vs":{"breadcrumb":"Compare","hero":{"title":"{a} vs {b}","subtitle":"Price, context and performance head to head. Data synced from the provider catalog.","fallbackNotice":"{models}: fallback data; this model is no longer in the current catalog. Confirm availability and pricing with the provider."},"verdict":{"title":"Quick verdict","cheaper":"Cheaper","biggerContext":"Larger context","faster":"Faster","higherQuality":"Higher quality","tie":"Tied"},"table":{"title":"Head-to-head","columns":{"feature":"Feature","a":"{a}","b":"{b}"},"rows":{"provider":"Provider","category":"Tier","inputPrice":"Input per 1M tokens","outputPrice":"Output per 1M tokens","cachedPrice":"Cached input per 1M","contextWindow":"Context window","speed":"Speed","vision":"Vision (image input)","functions":"Function calling","batchApi":"Batch API","yes":"Yes","no":"No"}},"cost":{"title":"Estimated monthly cost","description":"Enter how many requests per day you send with an average prompt (1K input + 1K output) and compare the monthly cost of both models.","requestsPerDayLabel":"Requests per day","savingsA":"{a} saves {amount}/mo vs {b}","savingsB":"{b} saves {amount}/mo vs {a}","tied":"Both models cost roughly the same"},"choose":{"title":"Which one should I pick?","cheaperRule":"Pick **{winner}** if cost is the priority: it's {savingsPct}% cheaper than {loser} on an average prompt.","contextRule":"Pick **{winner}** if you need to process long documents: its context window is {factor}× larger.","qualityRule":"Pick **{winner}** if answer quality is the priority: it's better positioned for your use case.","speedRule":"Pick **{winner}** if latency matters: it's noticeably faster.","tieRule":"**{a}** and **{b}** are interchangeable in most cases. Start with the cheaper one.","fallback":"Both models are competitive. A/B them on your real data to pick a winner."},"cta":{"title":"Want us to build it for you?","description":"We integrate {a} or {b} into your product with caching, observability and continuous evaluation — typically 40-80% cheaper than the obvious first pick.","button":"Talk to an expert","contactMessage":"I'm comparing {a} vs {b} for my project. Can you help me pick the right model and wire it up?"},"related":{"title":"Related comparisons","description":"Other combinations developers frequently compare in 2026."},"meta":{"title":"{a} vs {b} — Price and performance in 2026","description":"Head-to-head comparison of {a} and {b}: price per 1M tokens, context window, speed and capabilities. With a monthly cost calculator."}},"humanizador":{"eyebrow":"A LetBrand product","title":"Spanish AI humanizer","subtitle":"Rewrites AI drafts so they read like a person, and measures how much a text sounds like AI. Built for Spanish — from Spain and Latin America — not translated from an English tool.","cta":"Open Humanizador.app","ctaNote":"Free, no sign-up.","featuresTitle":"What it does","features":[{"title":"Humanizes without summarizing","body":"Rewrites the text keeping its length and meaning. Most tools cut it in half: here length is a constraint verified on the server, not a hint to the model."},{"title":"A detector that explains itself","body":"It doesn't just score: it highlights the exact phrases that give the text away and names the pattern behind each one, from a purpose-built catalogue of 41 Spanish patterns."},{"title":"Honest about its limits","body":"The score is indicative and says so on screen. No detector can prove who wrote a text, and false positives are common."}],"forWhoTitle":"Who it's for","forWho":"For anyone writing in Spanish with AI help who wants the result to sound like their own: academic work, articles, emails, product copy. It doesn't promise to fool anyone; it improves the text and shows you why it sounded like a machine.","disclaimer":"Humanizador.app is a LetBrand product. 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