{"schema_version":"onlylabs.public_signal.v1","title":"OpenBMB (MiniCPM) Model: openbmb/MiniCPM-V-4.6-Thinking","description":"OpenBMB (MiniCPM) model signal with public source context, captured evidence pages, related signals, and category-scoped analysis context.","url":"https://onlylabs.fyi/signals/b5fbc3f0-a3da-49ba-a042-261d8dcfd6d2","json_url":"https://onlylabs.fyi/signals/b5fbc3f0-a3da-49ba-a042-261d8dcfd6d2/signal.json","generated_at":"2026-06-11T02:40:52.844421+00:00","org":{"slug":"openbmb","name":"OpenBMB (MiniCPM)","category":"neolab","category_label":"Neolab","dossier_url":"https://onlylabs.fyi/labs/openbmb","dossier_json_url":"https://onlylabs.fyi/labs/openbmb/dossier.json"},"related_urls":{"signal":"https://onlylabs.fyi/signals/b5fbc3f0-a3da-49ba-a042-261d8dcfd6d2","signal_json":"https://onlylabs.fyi/signals/b5fbc3f0-a3da-49ba-a042-261d8dcfd6d2/signal.json","source":"https://huggingface.co/openbmb/MiniCPM-V-4.6-Thinking","lab_dossier":"https://onlylabs.fyi/labs/openbmb","lab_dossier_json":"https://onlylabs.fyi/labs/openbmb/dossier.json","analysis":"https://onlylabs.fyi/analysis/openbmb","analysis_json":"https://onlylabs.fyi/analysis/openbmb/analysis.json","analysis_evidence_json":"https://onlylabs.fyi/analysis/openbmb/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":"OpenBMB (MiniCPM) published openbmb/MiniCPM-V-4.6-Thinking. 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Try [it](https://github.com/OpenBMB/MiniCPM-V/blob/main/docs/api.md) now. MiniCPM-V 4.6 Thinking **MiniCPM-V 4.6 Thinking** is the long chain-of-thought reasoning variant of [MiniCPM-V 4.6](https://huggingface.co/openbmb/MiniCPM-V-4.6). It generates an explicit reasoning trace before producing the final answer, substantially boosting performance on complex multimodal reasoning, math, and OCR-heavy tasks, while keeping the same edge-friendly architecture (SigLIP2-400M vision encoder + Qwen3.5-0.8B LLM) and the mixed 4x/16x visual token compression of MiniCPM-V..."},"evidence_pages":[{"url":"https://huggingface.co/openbmb/MiniCPM-V-4.6-Thinking/raw/main/README.md","final_url":"https://huggingface.co/openbmb/MiniCPM-V-4.6-Thinking/raw/main/README.md","title":"openbmb/MiniCPM-V-4.6-Thinking model card","http_status":200,"content_type":"text/plain; charset=utf-8","capture_method":"plain","fetched_at":"2026-06-11T02:40:52.844421+00:00","bytes":19710,"raw_path":"fe47eb325a53cf0e6be64afe019d18dbce68fb4060065445e4da969b2cc61320.md","content_hash":"9372807faa2d17f625957ea6ddeebed00b082b1e6da178925be1f8369961b76e","excerpt_chars":1200,"truncated":true,"excerpt":"--- license: apache-2.0 pipeline_tag: image-text-to-text tags: - minicpm-v - multimodal - On-Device Model - lightweight library_name: transformers --- A Pocket-Sized MLLM for Ultra-Efficient Image and Video Understanding on Your Phone [GitHub](https://github.com/OpenBMB/MiniCPM-o) | [CookBook](https://github.com/OpenSQZ/MiniCPM-V-CookBook) | [Demo](https://huggingface.co/spaces/openbmb/MiniCPM-V-4.6-Thinking-Demo) | [Feishu (Lark)](https://raw.githubusercontent.com/openbmb/MiniCPM-V/main/assets/feishu_qrcode.png) News * [2026.05.17] ⭐️⭐️⭐️ We release the API service of MiniCPM-V 4.6, with a **public free API key** together! Try [it](https://github.com/OpenBMB/MiniCPM-V/blob/main/docs/api.md) now. MiniCPM-V 4.6 Thinking **MiniCPM-V 4.6 Thinking** is the long chain-of-thought reasoning variant of [MiniCPM-V 4.6](https://huggingface.co/openbmb/MiniCPM-V-4.6). 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