{"schema_version":"onlylabs.public_signal.v1","title":"Reka AI Model: RekaAI/reka-flash-3","description":"Reka AI model signal with public source context, captured evidence pages, related signals, and category-scoped analysis context.","url":"https://onlylabs.fyi/signals/6461b1c3-285d-4954-af13-a8ef73341426","json_url":"https://onlylabs.fyi/signals/6461b1c3-285d-4954-af13-a8ef73341426/signal.json","generated_at":"2026-06-11T02:50:46.052383+00:00","org":{"slug":"reka","name":"Reka AI","category":"neolab","category_label":"Neolab","dossier_url":"https://onlylabs.fyi/labs/reka","dossier_json_url":"https://onlylabs.fyi/labs/reka/dossier.json"},"related_urls":{"signal":"https://onlylabs.fyi/signals/6461b1c3-285d-4954-af13-a8ef73341426","signal_json":"https://onlylabs.fyi/signals/6461b1c3-285d-4954-af13-a8ef73341426/signal.json","source":"https://huggingface.co/RekaAI/reka-flash-3","lab_dossier":"https://onlylabs.fyi/labs/reka","lab_dossier_json":"https://onlylabs.fyi/labs/reka/dossier.json","analysis":"https://onlylabs.fyi/analysis/reka","analysis_json":"https://onlylabs.fyi/analysis/reka/analysis.json","analysis_evidence_json":"https://onlylabs.fyi/analysis/reka/evidence.json","category":"https://onlylabs.fyi/neolabs","category_json":"https://onlylabs.fyi/neolabs.json","category_feed":"https://onlylabs.fyi/neolabs/feed.xml","category_signals_json":"https://onlylabs.fyi/signals.json?category=neolab","topic":"https://onlylabs.fyi/topics/releases","topic_signals_json":"https://onlylabs.fyi/topics/releases/signals.json?category=neolab","topic_feed":"https://onlylabs.fyi/topics/releases/feed.xml?category=neolab","data_business":null},"answer_pack":{"answer":"Reka AI published RekaAI/reka-flash-3. 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It was trained in synthetic and public datasets for supervised finetuning, followed by RLOO with model-based and rule-based rewards. It performs competitively with proprietary models such as OpenAI o1-mini, making it a good foundation to build applications that require low latency or on-device deployment. It is currently the best open model in its size category. Try it out at [Reka Space](https://space.reka.ai). Reka Flash 3 powers Nexus, our new platform for organizations to create and manage AI workers. Nexus workers have native deep research capabilities and can browse the web, execute code, and analyse internal files including documents, images, videos and audio. Learn more about Nexus at [getnexus.reka.ai](https://getnexus.reka.ai). ![Performance](./eval-new.png) Quickstart For ease of deployment, the model is released in a Llama-compatible format. You may use any library compatible with Llama to run the model. Via Hugging Face ```python import transformers tokenizer = transformers.AutoTokenizer.from_pretrained(\"RekaAI/reka-flash-3\") model =..."},"evidence_pages":[{"url":"https://huggingface.co/RekaAI/reka-flash-3/raw/main/README.md","final_url":"https://huggingface.co/RekaAI/reka-flash-3/raw/main/README.md","title":"RekaAI/reka-flash-3 model card","http_status":200,"content_type":"text/plain; charset=utf-8","capture_method":"plain","fetched_at":"2026-06-11T02:50:46.052383+00:00","bytes":3826,"raw_path":"f23e88a86f121fd477e4f7a9cfd5f42d137fe07ffa40ef0a9a712d5c38828941.md","content_hash":"5dabdf0d6474d629bf38c29e90465969c0a1266a3b0e410dcac2353de4832707","excerpt_chars":1200,"truncated":true,"excerpt":"--- license: apache-2.0 --- Reka Flash 3 Reka Flash 3 is a 21B general-purpose reasoning model that was trained from scratch. It was trained in synthetic and public datasets for supervised finetuning, followed by RLOO with model-based and rule-based rewards. It performs competitively with proprietary models such as OpenAI o1-mini, making it a good foundation to build applications that require low latency or on-device deployment. It is currently the best open model in its size category. Try it out at [Reka Space](https://space.reka.ai). Reka Flash 3 powers Nexus, our new platform for organizations to create and manage AI workers. Nexus workers have native deep research capabilities and can browse the web, execute code, and analyse internal files including documents, images, videos and audio. Learn more about Nexus at [getnexus.reka.ai](https://getnexus.reka.ai). ![Performance](./eval-new.png) Quickstart For ease of deployment, the model is released in a Llama-compatible format. You may use any library compatible with Llama to run the model. Via Hugging Face ```python import transformers tokenizer = transformers.AutoTokenizer.from_pretrained(\"RekaAI/reka-flash-3\") model =..."}],"related_signals":[{"id":"b524db4d-7217-494f-a439-2f13cdf43951","url":"https://onlylabs.fyi/signals/b524db4d-7217-494f-a439-2f13cdf43951","source_url":"https://huggingface.co/RekaAI/reka-edge-2603","title":"RekaAI/reka-edge-2603","context":null,"kind":{"key":"model_released","label":"Model"},"org":{"slug":"reka","name":"Reka AI","category":"neolab"},"occurred_at":"2026-03-11T12:53:50+00:00","first_seen_at":"2026-06-06T01:49:59.547811+00:00","date_source":"source"},{"id":"9c91fc91-54f8-4b01-ad2e-2447ae88b84f","url":"https://onlylabs.fyi/signals/9c91fc91-54f8-4b01-ad2e-2447ae88b84f","source_url":"https://huggingface.co/RekaAI/reka-flash-3.1","title":"RekaAI/reka-flash-3.1","context":null,"kind":{"key":"model_released","label":"Model"},"org":{"slug":"reka","name":"Reka AI","category":"neolab"},"occurred_at":"2025-05-28T16:16:20+00:00","first_seen_at":"2026-06-06T01:49:59.547811+00:00","date_source":"source"}]}