Curated model catalog powering the AnyInt network.

Gemini 4 Argon is Google's flagship reasoning model, built for complex software engineering, deep mathematical and scientific problem solving, and autonomous multi-step agents.

GPT-6 Sol is the cost-efficient high-end model in OpenAI's GPT-6 series, positioned below the flagship GPT-6 Astra and above the fast GPT-6 Luna tier. It is suited for demanding professional work, agentic coding, business workflow automation, and computer use, and is particularly strong at long-horizon software engineering tasks in real codebases. It approaches Astra-level factual reliability at a much lower cost and shares Astra's clearer, more concise communication style in technical and coding conversations.

Claude Opus 5.5 is Anthropic's flagship model for demanding reasoning, coding, and long-horizon agentic work, succeeding Claude Opus 5. It is particularly strong at multi-step changes in large codebases, code review and bug finding, financial and scientific analysis, and reading dense charts, diagrams, and screenshots, and it is more careful than its predecessor about only stating figures and citing sources it can back up. The model completes comparable tasks in fewer steps and with fewer tokens than Opus 5, and reports on its work in plainer language, with clear updates on what it did, what it found, and what it needs from the user. Thinking is always adaptive, so effort is the main lever for trading off depth, latency, and cost, and lower effort settings remain effective for latency-sensitive workloads.

Access GPT-6 Astra through the AnyInt API. Explore model details, pricing, and request examples.

Anthropic Claude Fable 5 chat model for long-running agents, complex knowledge work, coding, reasoning, vision input, tool use, and prompt caching.

OpenAI GPT-5.6 Sol chat model via the existing NewAPI ZHJ upstream, with long context, vision input, tool calling, structured output, reasoning, and prompt caching.

OpenAI GPT-5.6 Luna chat model via the existing NewAPI ZHJ upstream, with long context, vision input, tool calling, structured output, reasoning, and prompt caching.

DeepSeek V4 Pro is a large-scale Mixture-of-Experts model from DeepSeek with 1.6T total parameters and 49B activated parameters, supporting a 1M-token context window. It is designed for advanced reasoning, coding, and long-horizon agent workflows, with strong performance across knowledge, math, and software engineering benchmarks. Built on the same architecture as DeepSeek V4 Flash, it introduces a hybrid attention system for efficient long-context processing and supports multiple reasoning modes to balance speed and depth depending on the task. It is well suited for complex workloads such as full-codebase analysis, multi-step automation, and large-scale information synthesis, where both capability and efficiency are critical.

DeepSeek-V4-Flash is a preview of the DeepSeek-V4 series, a Mixture-of-Experts model with 284B total parameters and 13B activated, built for efficient reasoning across a 1M-token context window.

Access DeepSeek V4 Flash 0731 through the AnyInt API. Explore model details, pricing, and request examples.

Anthropic Claude Sonnet 5 chat model for coding, agents, professional work, vision input, tool use, computer use, adaptive reasoning, and prompt caching on AWS Bedrock.

Claude Sonnet 5.5 is Anthropic's fast Sonnet model for everyday professional work, feature development, debugging, and polished documents. It supports adaptive thinking, tool use, image understanding, prompt caching, and a one-million-token context window. Its lower effort settings favor responsive agent workflows.

GLM 5.3 is Z.ai's large-scale reasoning model for complex software engineering and long-horizon agent tasks. It improves on GLM 5.2 in coding capability and performance per token while retaining a million-token-class text context window. Reasoning is always enabled and supports low, high, and max effort levels, with max as the default. The model supports function calling, tool choice, structured JSON outputs, prompt caching, and streaming. This AnyInt deployment is served through Baidu Qianfan and ModRouter with a 1,179,648-token context window and up to 131,072 output tokens.

ERNIE 5.1 is a high-efficiency flagship foundation model released by Baidu in May 2026. It is designed to deliver superior reasoning, creativity, and agentic capabilities while significantly reducing training costs by 94% compared to similar models

GLM 5.2 is a large-scale reasoning model from Z.ai. It supports text input and output with a 1M-token context window, and is suited for long-horizon agent workflows, project-level software engineering, and complex multi-step automation. Reasoning efforts high and xhigh are supported; xhigh maps to max reasoning. It is particularly strong at coding and tool use across long-running tasks, able to maintain engineering context and follow standards consistently through a full development workflow, from requirements to multi-platform deployment, in a single task.

Kimi K2.6 is Moonshot AI's next-generation multimodal model, designed for long-horizon coding, coding-driven UI/UX generation, and multi-agent orchestration. It handles complex end-to-end coding tasks across Python, Rust, and Go, and can convert prompts and visual inputs into production-ready interfaces. Its agent swarm architecture scales to hundreds of parallel sub-agents for autonomous task decomposition - delivering documents, websites, and spreadsheets in a single run without human oversight.

GLM-5.1 delivers a major leap in coding capability, with particularly significant gains in handling long-horizon tasks. Unlike previous models built around minute-level interactions, GLM-5.1 can work independently and continuously on a single task for more than 8 hours, autonomously planning, executing, and improving itself throughout the process, ultimately delivering complete, engineering-grade results.

HappyHorse 1.0 is a video generation model currently ranked #1 on the Artificial Analysis Text-to-Video Leaderboard. EvoLink is preparing unified API access with per-second billing.