{"id":14024,"date":"2025-08-21T07:20:38","date_gmt":"2025-08-21T07:20:38","guid":{"rendered":"https:\/\/gelecekvadisi.org\/ins\/?p=14024"},"modified":"2025-08-21T09:04:28","modified_gmt":"2025-08-21T09:04:28","slug":"tek-api-onlarca-ucretsiz-yapay-zeka-modeli","status":"publish","type":"post","link":"https:\/\/gelecekvadisi.org\/ins\/tek-api-onlarca-ucretsiz-yapay-zeka-modeli\/","title":{"rendered":"Tek API, Onlarca \u00dccretsiz Yapay Zek\u00e2 Modeli!"},"content":{"rendered":"\n<h2 class=\"wp-block-heading\">025\u2019in En Pop\u00fcler \u00dccretsiz Yapay Zek\u00e2 Modelleri (OpenRouter \u00dczerinden)<\/h2>\n\n\n\n<p>OpenRouter, onlarca farkl\u0131 yapay zek\u00e2 modelini tek bir API \u00fczerinden kullan\u0131ma sunarak geli\u015ftiricilere b\u00fcy\u00fck bir avantaj sa\u011fl\u0131yor. \u00dcstelik bir\u00e7ok model tamamen <strong>\u00fccretsiz<\/strong>! \u0130\u015fte 2025 y\u0131l\u0131nda OpenRouter \u00fczerinden eri\u015filebilen en dikkat \u00e7eken \u00fccretsiz modeller ve hangi alanda parlad\u0131klar\u0131:<\/p>\n\n\n\n<h3 class=\"wp-block-heading\">1. <strong>Meta Llama 3.3 70B Instruct (Meta)<\/strong><\/h3>\n\n\n\n<p><strong>Kullan\u0131m Alan\u0131:<\/strong> Genel ama\u00e7l\u0131 yazma, analiz, \u00f6zet \u00e7\u0131karma<br><strong>Neden Pop\u00fcler:<\/strong> Meta&#8217;n\u0131n en g\u00fc\u00e7l\u00fc a\u00e7\u0131k kaynak modellerinden biri. ChatGPT-4 benzeri performans sunuyor. E\u011fitimde ve i\u00e7erik \u00fcretiminde s\u0131k tercih ediliyor.<\/p>\n\n\n\n<h3 class=\"wp-block-heading\">2. <strong>Mistral 7B Instruct (MistralAI)<\/strong><\/h3>\n\n\n\n<p><strong>Kullan\u0131m Alan\u0131:<\/strong> Soru-cevap sistemleri, chatbot uygulamalar\u0131<br><strong>Neden Pop\u00fcler:<\/strong> Hafif ama \u00e7ok verimli. H\u0131zl\u0131 cevaplar \u00fcretir ve d\u00fc\u015f\u00fck maliyetlidir. Raspberry Pi gibi cihazlarda bile \u00e7al\u0131\u015fabilecek kadar optimize.<\/p>\n\n\n\n<h3 class=\"wp-block-heading\">3. <strong>Kimi K2 (MoonshotAI)<\/strong><\/h3>\n\n\n\n<p><strong>Kullan\u0131m Alan\u0131:<\/strong> Konu\u015fma dili analizi, e\u011fitsel asistanlar<br><strong>Neden Pop\u00fcler:<\/strong> Anlaml\u0131 ve insan benzeri cevaplar \u00fcretme konusunda olduk\u00e7a ba\u015far\u0131l\u0131. Yeni nesil projelerde denenmeye ba\u015flanm\u0131\u015ft\u0131r.<\/p>\n\n\n\n<h3 class=\"wp-block-heading\">4. <strong>Qwen2.5 72B (Qwen)<\/strong><\/h3>\n\n\n\n<p><strong>Kullan\u0131m Alan\u0131:<\/strong> Teknik i\u00e7erik \u00fcretimi, matematiksel ak\u0131l y\u00fcr\u00fctme<br><strong>Neden Pop\u00fcler:<\/strong> Zeki, hesaplamal\u0131 ve mant\u0131ksal ak\u0131l y\u00fcr\u00fctmede ba\u015far\u0131l\u0131. Ara\u015ft\u0131rma ve akademik alanda etkili.<\/p>\n\n\n\n<h3 class=\"wp-block-heading\">5. <strong>Gemma 2 9B &amp; 3n 2B (Google)<\/strong><\/h3>\n\n\n\n<p><strong>Kullan\u0131m Alan\u0131:<\/strong> Basit chatbotlar, i\u00e7erik \u00fcretimi, SEO yaz\u0131lar\u0131<br><strong>Neden Pop\u00fcler:<\/strong> Google destekli olmas\u0131 g\u00fcven sa\u011fl\u0131yor. Hafif projelerde veya d\u00fc\u015f\u00fck donan\u0131mda kullan\u0131labilir.<\/p>\n\n\n\n<h3 class=\"wp-block-heading\">6. <strong>GPT-OSS 20B (Open Source)<\/strong><\/h3>\n\n\n\n<p><strong>Kullan\u0131m Alan\u0131:<\/strong> Genel i\u00e7erik \u00fcretimi<br><strong>Neden Pop\u00fcler:<\/strong> OpenAI&#8217;a en yak\u0131n a\u00e7\u0131k kaynak model. Geni\u015f \u00e7apl\u0131 kullan\u0131m kolayl\u0131\u011f\u0131 sunuyor.<\/p>\n\n\n\n<h3 class=\"wp-block-heading\">7. <strong>DeepSeek R1T2 Chimera (TNG)<\/strong><\/h3>\n\n\n\n<p><strong>Kullan\u0131m Alan\u0131:<\/strong> Kod yazma, veri analizi<br><strong>Neden Pop\u00fcler:<\/strong> Kodlama yetenekleri ile \u00f6ne \u00e7\u0131k\u0131yor. Kod \u00fcretimi, yorumlama ve test s\u00fcre\u00e7lerinde ba\u015far\u0131l\u0131.<\/p>\n\n\n\n<h3 class=\"wp-block-heading\">8. <strong>Hunyuan A13B Instruct (Tencent)<\/strong><\/h3>\n\n\n\n<p><strong>Kullan\u0131m Alan\u0131:<\/strong> E\u011fitim ve \u00f6neri sistemleri<br><strong>Neden Pop\u00fcler:<\/strong> \u00c7in merkezli e\u011fitim projelerinde kullan\u0131lan ba\u015far\u0131l\u0131 bir model. T\u00fcrk\u00e7e performans\u0131 orta d\u00fczeyde.<\/p>\n\n\n\n<h3 class=\"wp-block-heading\">9. <strong>Mistral-Small-3.2-24B (MistralAI)<\/strong><\/h3>\n\n\n\n<p><strong>Kullan\u0131m Alan\u0131:<\/strong> H\u0131zl\u0131 i\u00e7erik \u00fcretimi<br><strong>Neden Pop\u00fcler:<\/strong> H\u0131zl\u0131 ve d\u00fc\u015f\u00fck kaynak t\u00fcketimli olmas\u0131yla dikkat \u00e7eker. Genellikle \u00f6n prototipleme s\u00fcrecinde tercih edilir.<\/p>\n\n\n\n<h3 class=\"wp-block-heading\">10. <strong>Venice Uncensored (CognitiveComputations)<\/strong><\/h3>\n\n\n\n<p><strong>Kullan\u0131m Alan\u0131:<\/strong> Yarat\u0131c\u0131 yazma, kurgu \u00fcretimi<br><strong>Neden Pop\u00fcler:<\/strong> Filtrelenmemi\u015f verilerle daha \u201c\u00f6zg\u00fcr\u201d metinler \u00fcretir. Hik\u00e2ye anlat\u0131m\u0131 ve \u00f6zg\u00fcn metinler i\u00e7in idealdir.<\/p>\n\n\n\n<p>Bu modellerin her biri farkl\u0131 ihtiya\u00e7lara g\u00f6re \u00f6ne \u00e7\u0131k\u0131yor. E\u011fitim platformlar\u0131, ara\u015ft\u0131rmac\u0131lar, geli\u015ftiriciler ya da giri\u015fimciler i\u00e7in art\u0131k <strong>maliyet engeli olmadan<\/strong> g\u00fc\u00e7l\u00fc yapay zek\u00e2 sistemlerine eri\u015fmek m\u00fcmk\u00fcn<\/p>\n\n\n\n<h2 class=\"wp-block-heading\">OpenRouter Nedir? T\u00fcm Yapay Zek\u00e2 Modellerine Tek API ile Eri\u015fim<\/h2>\n\n\n\n<h3 class=\"wp-block-heading\">Geli\u015ftiriciler \u0130\u00e7in Merkezi Eri\u015fim Noktas\u0131<\/h3>\n\n\n\n<p>OpenRouter, farkl\u0131 teknoloji firmalar\u0131 taraf\u0131ndan geli\u015ftirilen \u00e7ok say\u0131da yapay zek\u00e2 modeline tek bir API \u00fczerinden eri\u015fim sa\u011flayan merkezi bir platformdur. OpenAI, Google, Meta, Mistral, Moonshot gibi sa\u011flay\u0131c\u0131lar\u0131n modellerini ayr\u0131 ayr\u0131 entegre etmek yerine, OpenRouter ile tek merkezden kolayca y\u00f6netebilirsiniz.<\/p>\n\n\n\n<h3 class=\"wp-block-heading\">Avantajlar\u0131<\/h3>\n\n\n\n<ul class=\"wp-block-list\" class=\"wp-block-list\">\n<li>\u00dccretsiz modelleri do\u011frudan kullanma imk\u00e2n\u0131<\/li>\n\n\n\n<li>Merkezi API anahtar y\u00f6netimi<\/li>\n\n\n\n<li>Geni\u015f model yelpazesi: metin \u00fcretimi, kodlama, \u00e7eviri, diyalog vb.<\/li>\n\n\n\n<li>Model kar\u015f\u0131la\u015ft\u0131rma metrikleri: h\u0131z, do\u011fruluk, yan\u0131t s\u00fcresi<\/li>\n\n\n\n<li>GPT-4 uyumlu sistemlerde sadece <code>base_url<\/code> ve <code>api_key<\/code> g\u00fcncellemesiyle \u00e7al\u0131\u015ft\u0131r\u0131labilir<\/li>\n<\/ul>\n\n\n\n<h2 class=\"wp-block-heading\">E\u011fitim, Giri\u015fim ve Kamu Projelerinde Kullan\u0131m Alanlar\u0131<\/h2>\n\n\n\n<h3 class=\"wp-block-heading\">E\u011fitim Teknolojileri<\/h3>\n\n\n\n<ul class=\"wp-block-list\" class=\"wp-block-list\">\n<li>Otomatik \u00f6zetleme ve i\u00e7erik \u00fcretimi<\/li>\n\n\n\n<li>Etkile\u015fimli s\u0131nav sorusu haz\u0131rlama<\/li>\n\n\n\n<li>An\u0131nda cevap veren rehber sistemleri<\/li>\n<\/ul>\n\n\n\n<h3 class=\"wp-block-heading\">Giri\u015fim ve Startup S\u00fcre\u00e7leri<\/h3>\n\n\n\n<ul class=\"wp-block-list\" class=\"wp-block-list\">\n<li>Prototipleme ve test a\u015famas\u0131nda d\u00fc\u015f\u00fck maliyetli altyap\u0131<\/li>\n\n\n\n<li>Otomasyon tabanl\u0131 m\u00fc\u015fteri hizmetleri uygulamalar\u0131<\/li>\n\n\n\n<li>Blog, tan\u0131t\u0131m metni, \u00fcr\u00fcn a\u00e7\u0131klamas\u0131 \u00fcretimi<\/li>\n<\/ul>\n\n\n\n<h3 class=\"wp-block-heading\">Kamu ve STK Kullan\u0131mlar\u0131<\/h3>\n\n\n\n<ul class=\"wp-block-list\" class=\"wp-block-list\">\n<li>Veri temelli rapor ve analiz haz\u0131rlanmas\u0131<\/li>\n\n\n\n<li>\u00c7ok dilli destek sistemlerinin geli\u015ftirilmesi<\/li>\n\n\n\n<li>Otomatik dan\u0131\u015fmanl\u0131k ve form doldurma \u00e7\u00f6z\u00fcmleri<\/li>\n<\/ul>\n\n\n\n<blockquote class=\"wp-block-quote is-layout-flow wp-block-quote-is-layout-flow\">\n<p>Uyar\u0131: T\u00fcrk\u00e7e metin \u00e7\u0131kt\u0131s\u0131 i\u00e7in uygun model se\u00e7imi yap\u0131lmal\u0131d\u0131r. Mistral, Meta, Kimi gibi modeller genellikle y\u00fcksek do\u011fruluk sunar.<\/p>\n\n\n\n<p>OpenRouter \u00fccretsiz modellerin g\u00fcnl\u00fck ve toplam kullan\u0131m limitleri a\u015fa\u011f\u0131daki gibidir:<\/p>\n\n\n\n<p><strong>H\u0131z S\u0131n\u0131rlar\u0131 (Rate Limits):<\/strong><\/p>\n\n\n\n<ul class=\"wp-block-list\" class=\"wp-block-list\">\n<li>\u00dccretsiz model varyantlar\u0131 (<code>:free<\/code>\u00a0ile biten ID&#8217;ler) i\u00e7in\u00a0<strong>dakikada 20 iste\u011fe<\/strong>\u00a0kadar limit bulunur.<\/li>\n<\/ul>\n\n\n\n<p><strong>G\u00fcnl\u00fck Limitler:<\/strong><\/p>\n\n\n\n<ul class=\"wp-block-list\" class=\"wp-block-list\">\n<li>E\u011fer\u00a0<strong>10 krediden az<\/strong>\u00a0sat\u0131n ald\u0131ysan\u0131z: G\u00fcnde\u00a0<strong>50 \u00fccretsiz model iste\u011fi<\/strong>.<\/li>\n\n\n\n<li>E\u011fer\u00a0<strong>en az 10 kredi<\/strong>\u00a0sat\u0131n ald\u0131ysan\u0131z: G\u00fcnde\u00a0<strong>1000 \u00fccretsiz model iste\u011fi<\/strong>.<\/li>\n<\/ul>\n\n\n\n<p><strong>\u00d6nemli Not:<\/strong><\/p>\n\n\n\n<ul class=\"wp-block-list\" class=\"wp-block-list\">\n<li>Hesab\u0131n\u0131zda negatif kredi bakiyesi varsa, \u00fccretsiz modeller dahil olmak \u00fczere\u00a0<code>402<\/code>\u00a0hatalar\u0131 alabilirsiniz. Bu durumu d\u00fczeltmek i\u00e7in hesab\u0131n\u0131za kredi y\u00fcklemeniz gerekir.<\/li>\n<\/ul>\n<\/blockquote>\n\n\n\n<pre class=\"wp-block-code\"><code>## \u00dccretsiz Modeller ve Etiketleri\n\n1. **gpt-oss-20b** - openai\n2. **GLM 4.5 Air** - z-ai\n3. **Qwen3 Coder** - qwen\n4. **Kimi K2** - moonshotai\n5. **Mistral-Small-3.2-24B-Instruct-2506** - mistralai\n6. **Venice Uncensored** - cognitivecomputations\n7. **Gemma 3n 2B** - google\n8. **Hunyuan A13B Instruct** - tencent\n9. **DeepSeek R1T2 Chimera** - TNG\n10. **Qwen2.5 72B** - qwen\n11. **Mistral Nemo** - mistralai\n12. **Gemma 2 9B** - google\n13. **Mistral 7B Instruct** - mistralai\n14. **Meta Llama 3.3 70B Instruct** - meta-llama\n\n## Model Detaylar\u0131\n\n### OpenAI Modelleri\n- **gpt-oss-20b**: 21B parametre, Apache 2.0 lisans\u0131, MoE mimarisi\n\n### Z.AI Modelleri\n- **GLM 4.5 Air**: Hafif varyant, \u00e7ok ama\u00e7l\u0131 uygulamalar i\u00e7in optimize edilmi\u015f\n\n### Qwen Modelleri\n- **Qwen3 Coder**: 480B-A35B-Instruct, kod \u00fcretimi i\u00e7in optimize edilmi\u015f MoE modeli\n- **Qwen2.5 72B**: Kodlama ve matematik yetenekleri geli\u015ftirilmi\u015f, 128K token context deste\u011fi\n\n### Moonshot AI Modelleri\n- **Kimi K2**: 1 trilyon toplam parametre, 32 milyar aktif parametre, agentic yetenekler\n\n### Mistral Modelleri\n- **Mistral-Small-3.2-24B-Instruct-2506**: 24B parametre, fonksiyon \u00e7a\u011f\u0131rma iyile\u015ftirmeleri\n- **Mistral Nemo**: 12B parametre, 128K token context\n- **Mistral 7B Instruct**: 7.3B parametre, end\u00fcstri standard\u0131\n\n### Google Modelleri\n- **Gemma 3n 2B**: Multimodal, instruction-tuned\n- **Gemma 2 9B**: A\u00e7\u0131k kaynak, geli\u015fmi\u015f dil modeli\n\n### Di\u011fer Modeller\n- **Venice Uncensored**: Dolphin Mistral 24B tabanl\u0131\n- **Hunyuan A13B Instruct**: Tencent taraf\u0131ndan geli\u015ftirilen 13B aktif parametre MoE\n- **DeepSeek R1T2 Chimera**: TNG taraf\u0131ndan sa\u011flanan\n- **Meta Llama 3.3 70B Instruct**: 400B s\u0131n\u0131f\u0131 Llama3 serisi\n\n## \u00d6nemli Notlar\n\n- T\u00fcm modeller $0\/M input tokens ve $0\/M output tokens ile tamamen \u00fccretsiz\n- Context uzunluklar\u0131 33K ile 262K token aras\u0131nda de\u011fi\u015fiyor\n- Modeller farkl\u0131 yeteneklere sahip: kodlama, matematik, \u00e7ok dilli destek, multimodal i\u015fleme\n- Baz\u0131 modeller \u00f6zel lisanslara tabi (\u00f6rn. Tongyi Qianwen LICENSE AGREEMENT)<\/code><\/pre>\n","protected":false},"excerpt":{"rendered":"<p>025\u2019in En Pop\u00fcler \u00dccretsiz Yapay Zek\u00e2 Modelleri (OpenRouter \u00dczerinden) OpenRouter, onlarca farkl\u0131 yapay zek\u00e2 modelini tek bir API \u00fczerinden kullan\u0131ma sunarak geli\u015ftiricilere b\u00fcy\u00fck bir avantaj sa\u011fl\u0131yor. \u00dcstelik bir\u00e7ok model tamamen \u00fccretsiz! \u0130\u015fte 2025 y\u0131l\u0131nda OpenRouter \u00fczerinden eri\u015filebilen en dikkat \u00e7eken \u00fccretsiz&#8230;<\/p>\n","protected":false},"author":1,"featured_media":14025,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[16],"tags":[75,81,78,83,74,79],"class_list":["post-14024","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-ai","tag-api","tag-gemma","tag-gpt-oss","tag-mistral","tag-openrouter","tag-qwen"],"_links":{"self":[{"href":"https:\/\/gelecekvadisi.org\/ins\/wp-json\/wp\/v2\/posts\/14024","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/gelecekvadisi.org\/ins\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/gelecekvadisi.org\/ins\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/gelecekvadisi.org\/ins\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/gelecekvadisi.org\/ins\/wp-json\/wp\/v2\/comments?post=14024"}],"version-history":[{"count":1,"href":"https:\/\/gelecekvadisi.org\/ins\/wp-json\/wp\/v2\/posts\/14024\/revisions"}],"predecessor-version":[{"id":14026,"href":"https:\/\/gelecekvadisi.org\/ins\/wp-json\/wp\/v2\/posts\/14024\/revisions\/14026"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/gelecekvadisi.org\/ins\/wp-json\/wp\/v2\/media\/14025"}],"wp:attachment":[{"href":"https:\/\/gelecekvadisi.org\/ins\/wp-json\/wp\/v2\/media?parent=14024"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/gelecekvadisi.org\/ins\/wp-json\/wp\/v2\/categories?post=14024"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/gelecekvadisi.org\/ins\/wp-json\/wp\/v2\/tags?post=14024"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}