AI Model Families

Gemini

Gemini API Models for Multimodal and Long-Context Work

6 Models

Gemini is Google's family of multimodal models, and multimodal here means what it sounds like: text, images, video, audio, and PDFs go in directly, against context windows measured in millions of tokens, with no extraction layer in front. The family spans a deep-reasoning tier, a workhorse Flash tier tuned for coding and agentic execution, and a lightweight tier for high-volume paths, all sharing one interface with thinking depth set per request. One integration note worth knowing before your first call: recent Flash models no longer accept sampling parameters. On DEVUP AI the family is reachable through the standard OpenAI-compatible endpoint, billed in Algerian Dinar.

OpenAI

OpenAI API Models for Reasoning, Coding and Multimodal AI

11 Models

OpenAI's models cover more surface than any other family in this catalogue: reasoning and coding models across three capability tiers, image generation and editing, realtime speech, high-accuracy transcription, and text embeddings. The reasoning models share one property that shapes how they are used — deliberation is a per-request setting rather than a property of the model, so the same identifier can serve a real-time endpoint and a long analytical job. They accept text and images against context windows beyond a million tokens, support structured outputs and function calling, and are reachable on DEVUP AI through the standard OpenAI-compatible endpoint, billed in Algerian Dinar.

Claude

Claude API Models for Coding, Agents and Production Work

7 Models

Claude is Anthropic's family of frontier models, built around a distinctive priority: that a model used for real work should be reliable, honest about what it does not know, and safe to give responsibility to. The family spans a capability tier for hard problems, a balanced tier for production traffic, and a fast tier for high-volume paths — all sharing one interface, extended reasoning, vision input, and tool use. On DEVUP AI they are reachable through both the standard OpenAI-compatible endpoint and Anthropic's native Messages API, which means Claude Code and the official SDKs work directly against your account, billed in Algerian Dinar.

DeepSeek

DeepSeek API Models for Reasoning, Coding and Long-Context Work

9 Models

DeepSeek builds open-weight frontier models around a single engineering constraint: making very long context economically real. From Multi-head Latent Attention through to today's hybrid sparse and compressed attention stacks, every generation has attacked the two costs that make million-token inference impractical — per-token compute and key-value cache size. The result is a family that spans direct-answer chat models and deep reasoning systems with switchable effort levels, all sharing one API surface. Available on DEVUP AI through a single OpenAI-compatible endpoint.

GLM

GLM API Models for Agentic Coding and Complex Engineering

6 Models

GLM is Z.ai's family of open-weight models, and it is aimed squarely at engineering: repository-scale coding, terminal automation, and long-horizon agent execution rather than chat. The family makes an argument worth noticing — that beyond a certain scale, capability comes from post-training on verifiable, executable environments rather than from a larger foundation, and its recent releases demonstrate that on identical base weights. Models here hold a million-token context through hybrid attention designs built specifically to make that window affordable, with reasoning depth selectable per request. On DEVUP AI the family is reachable through the standard OpenAI-compatible endpoint, billed in Algerian Dinar.

Kimi

Kimi API Models for Long-Context and Agentic Work

3 Models

Kimi is Moonshot AI's family of open-weight frontier models, and it is built for a specific shape of work: tasks measured in hours rather than turns. Sustained engineering sessions across large repositories, terminal orchestration, multi-step research, and document-heavy knowledge work. The flagship is the first open model in the trillion-parameter class, with native vision and a million-token context, yet it activates only a small fraction of its parameters on any given token. Unlike most frontier systems, the architecture is published rather than described. On DEVUP AI the family is reachable through the standard OpenAI-compatible endpoint, billed in Algerian Dinar.

Llama

Llama API Models with Open Weights for Production AI

6 Models

Llama is Meta's family of open-weight models, and its influence is easiest to measure by what was built around it. The tooling most developers use to run, quantize, and fine-tune models locally was written for Llama first. More fine-tuned derivatives exist for this family than for any other. It spans a wider range of sizes than any competing line — from models small enough for a laptop to sparse Mixture-of-Experts systems with context windows in the millions — with native multimodal input in the current generation. On DEVUP AI the family is reachable through the standard OpenAI-compatible endpoint, billed in Algerian Dinar.

Qwen

Qwen API Models for Text, Vision, Speech and Embeddings

23 Models

Qwen is the most complete open model family available today, and completeness is the point. Alibaba releases not one flagship but a full spectrum — dense models small enough to serve at volume alongside sparse models in the trillion-parameter class, plus dedicated vision, speech recognition, text-to-speech, and embedding models. They share one API surface, one set of conventions, and in most cases a permissive licence, which makes moving between them a configuration change rather than a rewrite. On DEVUP AI the whole family is reachable through a single OpenAI-compatible endpoint, billed in Algerian Dinar.