Codestral 25.01

publisher: Mistral

domain: code

pricing: $0.30 input / $0.90 output per 1M tokens via la Plateforme

license: Mistral Non-Production License

benchmark: HumanEval 86.6% pass@1

capabilities:
code completion
fill-in-the-middle
80+ languages
256k context

notes: Mistral's flagship code model. 256k context, 80+ programming languages. License is non-commercial without a Mistral subscription.


DeepSeek Coder V3

publisher: DeepSeek

params: 236B MoE / 21B active

pricing: $0.14 input / $0.28 output per 1M tokens via DeepSeek API

license: MIT

benchmark: HumanEval 90.2%, SWE-Bench Verified 65.4%

capabilities:
code generation
cross-language
repository-level
128k context

notes: MIT-licensed frontier code model. Cheapest code-specialized API in 2026. Strong on repo-level code understanding.


Qwen 2.5 Coder 32B

publisher: Alibaba

pricing: Open weights, free to self-host

benchmark: HumanEval 92.7%, MBPP 90.2%

capabilities:
code completion
code repair
40+ languages
128k context

notes: Apache-2.0 dense code model that punches above its parameter count. Strong default for self-hosted code assistant agents.


StarCoder 2 15B

publisher: BigCode

license: BigCode OpenRAIL-M

benchmark: HumanEval 46.3% pass@1

capabilities:
code completion
fill-in-the-middle
600+ languages
16k context

notes: Reproducible: trained on The Stack v2 (open dataset). Best fit for academic / regulated code-completion deployments.


Med-Gemini

publisher: Google

domain: medical

params: undisclosed

pricing: Cloud Healthcare API; usage-based

license: Proprietary

benchmark: MedQA-USMLE 91.1%

capabilities:
clinical Q&A
medical imaging
EHR summarization
long-context records

notes: Google's flagship medical LLM. Multimodal (radiology, dermatology). Strongest published MedQA score. Available via Google Cloud Healthcare APIs.


Meditron 3 70B

publisher: EPFL

license: Llama 3 Community License

benchmark: MedQA-USMLE 78.6%, USMLE step 1-3 ~85%

capabilities:
clinical Q&A
literature synthesis
differential diagnosis

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.


BioMistral 7B

publisher: BioMistral collaboration

benchmark: MedQA-USMLE 49.6%

capabilities:
biomedical Q&A
drug interactions
literature retrieval

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.


SaulLM 141B

publisher: Equall

domain: legal

params: 141B (Mixtral-based)

benchmark: LegalBench 71.3%

capabilities:
legal Q&A
contract review
case law summarization
multilingual legal

notes: Largest open legal LLM. Continued pretraining of Mixtral 8x22B on legal corpora. Strong on EU + US case law.


SaulLM 7B

benchmark: LegalBench 60.7%

capabilities:
legal Q&A
contract clauses
case briefing

notes: Smaller SaulLM; runs on consumer GPU at Q4. Solid base for legal RAG agents.


FinGPT v3

publisher: AI4Finance Foundation

domain: finance

params: 7B-13B (LoRA on Llama)

benchmark: Financial sentiment FPB ~88%

capabilities:
financial sentiment
earnings call analysis
news classification
forecasting

notes: Open finance models maintained by AI4Finance Foundation. LoRA adapters on Llama 3.x base. Best fit for sentiment + classification rather than reasoning.


BloombergGPT

publisher: Bloomberg

pricing: Internal Bloomberg use only (not public)

benchmark: FPB sentiment ~85%

capabilities:
financial NER
sentiment
document classification
earnings analysis

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.


Suno v4

publisher: Suno

domain: music

pricing: Subscription from $10/mo; API limited beta

capabilities:
lyrics + music
genre control
instrumental
extend / remix

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.


Udio

publisher: Uncharted Labs

pricing: Subscription from $10/mo

capabilities:
music gen
extend
remix
lyrics or instrumental

notes: Suno competitor. Strong on instrumental quality and genre fidelity. Active legal contention with major labels in 2024-2026.


MusicGen Large

publisher: Meta

capabilities:
instrumental music gen
melody conditioning
audio continuation

notes: Open instrumental music model. Non-commercial license. Lower fidelity than Suno/Udio but the strongest open option for research.


Stable Audio 2.0

publisher: Stability AI

pricing: API from $0.10 per 30s; free tier

license: Stability commercial

capabilities:
music + SFX gen
3min clips
audio-to-audio
instrumental focus

notes: Stability's music + sound-effect model. Designed for sound design workflows; produces stems and SFX more cleanly than Suno.


TRELLIS

publisher: Microsoft Research

capabilities:
image to 3D
text to 3D
mesh + gaussian splat output
PBR materials

notes: Microsoft Research 3D generative model. State-of-the-art image-to-3D quality. Outputs textured mesh, Gaussian splats, or radiance fields.


publisher: Tencent

params: 4.5B (texture model)

license: Tencent Hunyuan License

capabilities:
image to 3D mesh
PBR texture generation
animation rigging

notes: Tencent's open 3D model. Two-stage: shape generation + texture model. Strongest open 3D output quality in early 2025.


ColPali

publisher: ILLUIN Technology

domain: retrieval

params: 3B (PaliGemma-based)

benchmark: ViDoRe benchmark leader

capabilities:
vision-document retrieval
late interaction
PDF / chart understanding

notes: Vision-document retrieval model. Embeds whole-page images directly, skipping OCR. Strong on PDFs with tables, charts, scientific figures.


SPLADE v3

publisher: Naver Labs

benchmark: BEIR avg ~50.5

capabilities:
sparse retrieval
BM25-compatible inverted index
lexical match expansion

notes: Learned sparse retrieval. Drops into existing inverted-index infra (Elasticsearch, Lucene) without dense vector overhead. Strong hybrid-search complement to dense embeddings.