AI Model Guides

Alibaba

Qwen3.7 Max

Qwen3.7 Max is Alibaba's proprietary flagship for text-only reasoning, coding, office work, and long-horizon agents. It offers a one-million-token context and competitive instruction following at moderate prices, but it cannot inspect images and OpenRouter exposes reasoning primarily as an on/off choice rather than a fine-grained effort ladder.

Anthropic

Claude 4.8 Opus

Claude 4.8 Opus is Anthropic's high-end Opus model for complex coding, enterprise workflows, and autonomous agents. It offers a one-million-token context, adaptive thinking, and strong long-horizon results at half Fable 5's token price, though Sonnet 5 is cheaper for routine work.

Anthropic

Claude 5 Sonnet

Claude 5 Sonnet is Anthropic's lower-cost fifth-generation model and a strong default for coding, agents, writing, and professional work. It approaches Opus 4.8 on some agent tasks at higher effort, but its introductory pricing is temporary and its newer tokenizer can increase billed token counts.

Anthropic

Claude Fable 5

Claude Fable 5 is Anthropic's most capable widely available model for ambitious coding, professional knowledge work, and long-running agents. Its one-million-token context and high autonomy target multi-hour or multi-day projects, but it is expensive and carries special safeguards and retention requirements.

DeepSeek

DeepSeek V4 Pro

DeepSeek V4 Pro is an open-weight, one-million-context reasoning model aimed at coding, STEM, and agents. Its 1.6-trillion-parameter mixture-of-experts architecture activates 49 billion parameters per token and pairs frontier-oriented performance with unusually low official API prices, though it is text-only and the largest reasoning mode is token-intensive.

Google

Gemini 3.1 Pro

Gemini 3.1 Pro is Google's preview reasoning model for difficult multimodal, coding, and agentic work. Its one-million-token context and broad input support make it especially flexible for mixed media and large corpora, though newer Gemini 3.5 Flash can be faster and stronger on several agent benchmarks.

Google

Gemini 3.5 Flash

Gemini 3.5 Flash combines frontier-level agent and coding results with high throughput and broad multimodal input support. It is a compelling general-purpose model when speed and tool use matter, but its output-token price is higher than earlier Flash generations and long-context recall still degrades at the extreme end.

MiniMax

MiniMax M3

MiniMax M3 is an open-weight multimodal model combining coding and agent capabilities with a one-million-token sparse-attention context. Its standard API price is unusually low for this capability class, but the longest prompts cost twice as much and PromptHQ currently exposes text-only access despite the provider's image and video support.

Moonshot AI

Kimi K3

Kimi K3 is Moonshot AI's 2.8-trillion-parameter open-weight multimodal reasoning model for hard coding, knowledge work, and long-running agents. It offers a one-million-token context and strong launch results, but reasoning is always on, output is relatively expensive, and initial API capacity has been limited.

OpenAI

GPT-5.6 Sol

GPT-5.6 Sol is OpenAI's highest-capability GPT-5.6 model, built for difficult reasoning, professional work, coding agents, and long-running tool use. It is the family choice when result quality matters more than latency or token cost; Terra is the more economical default for many production workloads.

OpenAI

GPT-5.6 Terra

GPT-5.6 Terra is the middle member of OpenAI's GPT-5.6 family: substantially cheaper than Sol while retaining strong performance on coding agents, professional work, computer use, and long-context retrieval. It is a strong default for demanding work when Sol's extra capability does not justify twice the token price, although Luna can be more economical for high-volume workloads.

xAI

Grok 4.5

Grok 4.5 is xAI's reasoning model for fast coding, research, and tool-using agents. It combines a 500,000-token context with competitive long-horizon coding scores and relatively low output pricing, but reasoning cannot be disabled and very long prompts cost twice as much.

Z AI

GLM 5.2

GLM 5.2 is an MIT-licensed reasoning model built for project-scale software engineering and long-running agents. Its strongest evidence is in long-horizon coding, where Z AI reports large gains over GLM 5.1; however, it is text-only and PromptHQ conservatively caps its usable context below the model's advertised maximum.