Models

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]

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]

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

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

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 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 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.

Grok 4

Grok 4 is xAI's frontier reasoning model, the first to break 50% on Humanity's Last Exam, with a 256K context window, $3/M input pricing, and a Heavy multi-agent variant built on 200,000 GPUs.

Qwen3.5-27B Claude Opus Distilled

Community fine-tune that distills Claude Opus 4.6 reasoning into Qwen3.5-27B via LoRA. 28B parameters, Apache 2.0, no published benchmarks.

GPT-5.4

OpenAI's most capable frontier model combines native computer use, 1M-token context, and three variants at $2.50/$15 per million tokens.

GPT-5.3 Instant

GPT-5.3 Instant launched March 3, 2026, cutting hallucinations by 26.8% and overhauling ChatGPT's tone - but with documented safety regressions in the process.

GLM-5

Zhipu AI's GLM-5 is a 744B MoE model with 40B active parameters, trained on 100K Huawei Ascend chips, scoring 77.8% SWE-bench and 50 on Artificial Analysis Intelligence Index - MIT licensed.

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