Models

Claude Sonnet 4.6

Claude Sonnet 4.6

Anthropic's mid-tier model matches Opus 4.6 on computer use, leads all models on office productivity tasks, and costs five times less than the flagship at $3/$15 per million tokens.

MiniMax M2.7

MiniMax M2.7 is a 230B MoE coding agent that handles 30-50% of MiniMax's own RL research workflow, scoring 56.22% on SWE-Pro and 78% on SWE-bench Verified at $0.30/M input tokens.

Cohere Command A Vision

Cohere Command A Vision

Cohere Command A Vision is a 112B multimodal model that leads on document and OCR benchmarks, beating GPT-4.1 across seven visual understanding tasks.

Mistral Small 4

Mistral Small 4

Mistral AI's unified MoE model - 119B total parameters, 6B active per token, 128 experts, 256K context, configurable reasoning, Apache 2.0 license.

FLUX.2 [max]

FLUX.2 [max]

Black Forest Labs' top-tier image model - highest quality, best prompt adherence, grounded generation with web context, and professional-grade editing consistency at $0.07 per megapixel.

FLUX.2 [flex]

FLUX.2 [flex]

Black Forest Labs' developer-controlled image model with adjustable steps and guidance - maximum precision for typography, UI mockups, and detail-critical workflows.

FLUX.2 [pro]

FLUX.2 [pro]

Black Forest Labs' production-grade image generation API - state-of-the-art quality at affordable pricing, optimized for commercial workflows with 4MP output.

FLUX.2 [dev]

FLUX.2 [dev]

Black Forest Labs' 32B open-weight image model - the most powerful open alternative for text-to-image, editing, and multi-reference generation with up to 10 reference images.

FLUX.2 [klein] 9B

FLUX.2 [klein] 9B

Black Forest Labs' 9B parameter distilled image model - sub-second generation with higher quality than the 4B variant, 19.6 GB VRAM, non-commercial license.

FLUX.2 [klein] 4B

FLUX.2 [klein] 4B

Black Forest Labs' fastest open-source image generation model - 4B parameters, Apache 2.0 license, sub-second generation on consumer GPUs with 13GB VRAM.

Italian-Legal-BERT

Italian-Legal-BERT

Italian-Legal-BERT is a 110M-parameter domain-adapted BERT model for Italian legal NLP, trained on 3.7GB of court decisions from Italy's National Jurisprudential Archive.

NVIDIA Nemotron 3 Super 120B-A12B

NVIDIA Nemotron 3 Super 120B-A12B

NVIDIA Nemotron 3 Super is a 120B-parameter open model with 12B active at inference, combining Mamba-2, LatentMoE, and Multi-Token Prediction for agentic workloads with a 1M token context window.