{"ok":true,"source":"tensorfeed.ai","lastUpdated":"2026-04-30","count":19,"models":[{"id":"codestral-25.01","name":"Codestral 25.01","publisher":"Mistral","domain":"code","params":"22B","pricing":"$0.30 input / $0.90 output per 1M tokens via la Plateforme","openWeights":true,"license":"Mistral Non-Production License","released":"2025-01","benchmark":"HumanEval 86.6% pass@1","capabilities":["code completion","fill-in-the-middle","80+ languages","256k context"],"url":"https://mistral.ai/news/codestral-2501/","notes":"Mistral's flagship code model. 256k context, 80+ programming languages. License is non-commercial without a Mistral subscription."},{"id":"deepseek-coder-v3","name":"DeepSeek Coder V3","publisher":"DeepSeek","domain":"code","params":"236B MoE / 21B active","pricing":"$0.14 input / $0.28 output per 1M tokens via DeepSeek API","openWeights":true,"license":"MIT","released":"2025-12","benchmark":"HumanEval 90.2%, SWE-Bench Verified 65.4%","capabilities":["code generation","cross-language","repository-level","128k context"],"url":"https://github.com/deepseek-ai/DeepSeek-Coder-V3","notes":"MIT-licensed frontier code model. Cheapest code-specialized API in 2026. Strong on repo-level code understanding."},{"id":"qwen-coder-2.5-32b","name":"Qwen 2.5 Coder 32B","publisher":"Alibaba","domain":"code","params":"32B","pricing":"Open weights, free to self-host","openWeights":true,"license":"Apache-2.0","released":"2024-11","benchmark":"HumanEval 92.7%, MBPP 90.2%","capabilities":["code completion","code repair","40+ languages","128k context"],"url":"https://huggingface.co/Qwen/Qwen2.5-Coder-32B-Instruct","notes":"Apache-2.0 dense code model that punches above its parameter count. Strong default for self-hosted code assistant agents."},{"id":"starcoder-2-15b","name":"StarCoder 2 15B","publisher":"BigCode","domain":"code","params":"15B","pricing":"Open weights, free to self-host","openWeights":true,"license":"BigCode OpenRAIL-M","released":"2024-02","benchmark":"HumanEval 46.3% pass@1","capabilities":["code completion","fill-in-the-middle","600+ languages","16k context"],"url":"https://huggingface.co/bigcode/starcoder2-15b","notes":"Reproducible: trained on The Stack v2 (open dataset). Best fit for academic / regulated code-completion deployments."},{"id":"med-gemini","name":"Med-Gemini","publisher":"Google","domain":"medical","params":"undisclosed","pricing":"Cloud Healthcare API; usage-based","openWeights":false,"license":"Proprietary","released":"2024-04","benchmark":"MedQA-USMLE 91.1%","capabilities":["clinical Q&A","medical imaging","EHR summarization","long-context records"],"url":"https://research.google/blog/advancing-medical-ai-with-med-gemini/","notes":"Google's flagship medical LLM. Multimodal (radiology, dermatology). Strongest published MedQA score. Available via Google Cloud Healthcare APIs."},{"id":"meditron-3","name":"Meditron 3 70B","publisher":"EPFL","domain":"medical","params":"70B","pricing":"Open weights, free to self-host","openWeights":true,"license":"Llama 3 Community License","released":"2025-04","benchmark":"MedQA-USMLE 78.6%, USMLE step 1-3 ~85%","capabilities":["clinical Q&A","literature synthesis","differential diagnosis"],"url":"https://huggingface.co/epfl-llm/meditron-70b","notes":"EPFL's open medical LLM, continued pretraining of Llama 3. The strongest open-weights medical model. Used as research baseline for clinical-AI evaluation."},{"id":"biomistral","name":"BioMistral 7B","publisher":"BioMistral collaboration","domain":"medical","params":"7B","pricing":"Open weights, free to self-host","openWeights":true,"license":"Apache-2.0","released":"2024-02","benchmark":"MedQA-USMLE 49.6%","capabilities":["biomedical Q&A","drug interactions","literature retrieval"],"url":"https://huggingface.co/BioMistral/BioMistral-7B","notes":"Mistral 7B continued-pretrained on PubMed. Apache-licensed; small enough to self-host on a single consumer GPU. Good base for medical RAG agents."},{"id":"saul-lm-141b","name":"SaulLM 141B","publisher":"Equall","domain":"legal","params":"141B (Mixtral-based)","pricing":"Open weights, free to self-host","openWeights":true,"license":"MIT","released":"2024-07","benchmark":"LegalBench 71.3%","capabilities":["legal Q&A","contract review","case law summarization","multilingual legal"],"url":"https://huggingface.co/Equall/SaulLM-141B-Instruct","notes":"Largest open legal LLM. Continued pretraining of Mixtral 8x22B on legal corpora. Strong on EU + US case law."},{"id":"saul-lm-7b","name":"SaulLM 7B","publisher":"Equall","domain":"legal","params":"7B","pricing":"Open weights, free to self-host","openWeights":true,"license":"MIT","released":"2024-03","benchmark":"LegalBench 60.7%","capabilities":["legal Q&A","contract clauses","case briefing"],"url":"https://huggingface.co/Equall/Saul-7B-Base","notes":"Smaller SaulLM; runs on consumer GPU at Q4. Solid base for legal RAG agents."},{"id":"fingpt-v3","name":"FinGPT v3","publisher":"AI4Finance Foundation","domain":"finance","params":"7B-13B (LoRA on Llama)","pricing":"Open weights, free to self-host","openWeights":true,"license":"MIT","released":"2024-08","benchmark":"Financial sentiment FPB ~88%","capabilities":["financial sentiment","earnings call analysis","news classification","forecasting"],"url":"https://github.com/AI4Finance-Foundation/FinGPT","notes":"Open finance models maintained by AI4Finance Foundation. LoRA adapters on Llama 3.x base. Best fit for sentiment + classification rather than reasoning."},{"id":"bloomberggpt","name":"BloombergGPT","publisher":"Bloomberg","domain":"finance","params":"50B","pricing":"Internal Bloomberg use only (not public)","openWeights":false,"license":"Proprietary","released":"2023-03","benchmark":"FPB sentiment ~85%","capabilities":["financial NER","sentiment","document classification","earnings analysis"],"url":"https://www.bloomberg.com/company/press/bloomberggpt-50-billion-parameter-llm-tuned-finance/","notes":"Bloomberg's in-house finance LLM. Trained on a private 363B-token finance corpus. Reference for \"what does a finance-specialized base model look like\" but not externally usable."},{"id":"suno-v4","name":"Suno v4","publisher":"Suno","domain":"music","params":"undisclosed","pricing":"Subscription from $10/mo; API limited beta","openWeights":false,"license":"Proprietary","released":"2024-11","benchmark":null,"capabilities":["lyrics + music","genre control","instrumental","extend / remix"],"url":"https://suno.com","notes":"Frontier music generation. v4 ships full-song generation up to 4 minutes with vocals. The default for music-gen agents that need polished output."},{"id":"udio","name":"Udio","publisher":"Uncharted Labs","domain":"music","params":"undisclosed","pricing":"Subscription from $10/mo","openWeights":false,"license":"Proprietary","released":"2024-04","benchmark":null,"capabilities":["music gen","extend","remix","lyrics or instrumental"],"url":"https://www.udio.com","notes":"Suno competitor. Strong on instrumental quality and genre fidelity. Active legal contention with major labels in 2024-2026."},{"id":"musicgen-large","name":"MusicGen Large","publisher":"Meta","domain":"music","params":"3.3B","pricing":"Open weights, free to self-host","openWeights":true,"license":"CC-BY-NC-4.0","released":"2023-06","benchmark":null,"capabilities":["instrumental music gen","melody conditioning","audio continuation"],"url":"https://huggingface.co/facebook/musicgen-large","notes":"Open instrumental music model. Non-commercial license. Lower fidelity than Suno/Udio but the strongest open option for research."},{"id":"stable-audio-2","name":"Stable Audio 2.0","publisher":"Stability AI","domain":"music","params":"undisclosed","pricing":"API from $0.10 per 30s; free tier","openWeights":false,"license":"Stability commercial","released":"2024-04","benchmark":null,"capabilities":["music + SFX gen","3min clips","audio-to-audio","instrumental focus"],"url":"https://stability.ai/news/stable-audio-2-0","notes":"Stability's music + sound-effect model. Designed for sound design workflows; produces stems and SFX more cleanly than Suno."},{"id":"trellis","name":"TRELLIS","publisher":"Microsoft Research","domain":"3d","params":"2B","pricing":"Open weights, free to self-host","openWeights":true,"license":"MIT","released":"2024-12","benchmark":null,"capabilities":["image to 3D","text to 3D","mesh + gaussian splat output","PBR materials"],"url":"https://github.com/microsoft/TRELLIS","notes":"Microsoft Research 3D generative model. State-of-the-art image-to-3D quality. Outputs textured mesh, Gaussian splats, or radiance fields."},{"id":"hunyuan3d-2","name":"Hunyuan3D-2","publisher":"Tencent","domain":"3d","params":"4.5B (texture model)","pricing":"Open weights, free to self-host","openWeights":true,"license":"Tencent Hunyuan License","released":"2025-01","benchmark":null,"capabilities":["image to 3D mesh","PBR texture generation","animation rigging"],"url":"https://huggingface.co/tencent/Hunyuan3D-2","notes":"Tencent's open 3D model. Two-stage: shape generation + texture model. Strongest open 3D output quality in early 2025."},{"id":"colpali","name":"ColPali","publisher":"ILLUIN Technology","domain":"retrieval","params":"3B (PaliGemma-based)","pricing":"Open weights, free to self-host","openWeights":true,"license":"Apache-2.0","released":"2024-07","benchmark":"ViDoRe benchmark leader","capabilities":["vision-document retrieval","late interaction","PDF / chart understanding"],"url":"https://huggingface.co/vidore/colpali","notes":"Vision-document retrieval model. Embeds whole-page images directly, skipping OCR. Strong on PDFs with tables, charts, scientific figures."},{"id":"splade-v3","name":"SPLADE v3","publisher":"Naver Labs","domain":"retrieval","params":"110M","pricing":"Open weights, free to self-host","openWeights":true,"license":"CC-BY-NC-4.0","released":"2024-03","benchmark":"BEIR avg ~50.5","capabilities":["sparse retrieval","BM25-compatible inverted index","lexical match expansion"],"url":"https://huggingface.co/naver/splade-v3","notes":"Learned sparse retrieval. Drops into existing inverted-index infra (Elasticsearch, Lucene) without dense vector overhead. Strong hybrid-search complement to dense embeddings."}]}