A model catalog is more than a list of endpoints. It is the control plane for modern AI applications, defining which capabilities are available, how they are accessed, and what they cost. For developers building agents, multi-modal pipelines, or long-context reasoning systems, a complete catalog must cover not only large language models but also code models, vision encoders, image and audio generators, embedding engines, and object detection networks. Without a unified taxonomy, teams waste cycles on provider-specific integrations and unpredictable token economics. Oxlo.ai addresses this by offering 45+ open-source and proprietary models across seven categories behind a single, fully OpenAI-compatible API.
What Defines a Complete Model Catalog
Completeness is measured by breadth, depth, and accessibility. Breadth means covering every modality an application might need, from text reasoning to image generation to speech synthesis. Depth means offering variants within each modality, such as lightweight models for low-latency routing and massive mixture-of-experts models for high-accuracy reasoning. Accessibility means consistent authentication, predictable pricing, and drop-in SDK compatibility. A catalog that forces you to rewrite client code for every new model family is incomplete by design.
Oxlo.ai structures its catalog around these three pillars. All 45+ models are accessible through the same base URL, https://api.oxlo.ai/v1, and support the standard OpenAI SDK in Python, Node.js, and cURL. There are no cold starts on popular models, so the catalog behaves like a static capability matrix rather than a dynamic inventory with availability gaps.
Catalog Taxonomy: Beyond Chat Completion
Most providers treat LLMs as the entire catalog. A definitive resource recognizes that production systems need specialized models. Oxlo.ai organizes its offerings into seven categories:
- LLMs and chat / reasoning: Qwen 3 32B for multilingual reasoning and agent workflows, Llama 3.3 70B as a general-purpose flagship, DeepSeek R1 671B MoE for deep reasoning and complex coding, GPT-Oss 120B, DeepSeek V4 Flash with efficient MoE and 1M context, Kimi K2.6 with advanced reasoning and agentic coding plus vision and 131K context, Kimi K2.5 and Kimi K2 Thinking for chain-of-thought reasoning, GLM 5 for long-horizon agentic tasks, and Minimax M2.5 for coding and agentic tool use. DeepSeek V3.2 is also available for coding and reasoning, including on the free tier.
- Code: Qwen 3 Coder 30B, DeepSeek Coder, and Oxlo.ai Coder Fast.
- Vision: Gemma 3 27B and Kimi VL A3B for image understanding.
- Image generation: Oxlo.ai Image Pro and Ultra, Flux.1, SDXL, and Stable Diffusion 3.5.
- Audio: Whisper Large v3, Turbo, and Medium for transcription, plus Kokoro 82M for text-to-speech.
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