The flagship
models, indexed.

Zhipu's flagship — agentic-first MoE with strong coding + tool-use benchmarks.

Open-weights coding specialist — 480B MoE, agentic by design.

Open-weights 1T-parameter MoE — agentic, long-context, the model behind Kimi Chat.

Open-weights 456B MoE with the largest free-tier context window in production: 1M tokens.

The workhorse Claude tier — extended thinking at a fraction of Opus pricing.

Anthropic's frontier model with extended thinking, leading SWE-bench Verified.

Alibaba's latest open-weights generation — dense + MoE variants with hybrid reasoning mode.

OpenAI's coding-focused refresh with a full 1M-token context window.

Google's deep-thinking flagship with a 1M-token context window.

Baidu's reasoning model — Chinese-language counterpart to DeepSeek R1 and OpenAI o-series.

Baidu's multimodal flagship — Chinese-language leader, integrated with the Baidu ecosystem.

xAI's flagship with real-time X integration and a Think reasoning mode.

Cheap, fast reasoning — o1-level math/code at a fraction of the cost.

Alibaba's frontier MoE — closed-weights, competitive with Claude 3.5 Sonnet on key benchmarks.

ByteDance's fast tier — the cheapest frontier-class API in China.

ByteDance's flagship — the LLM behind Doubao (China's most-used consumer AI app).

Open-weights reasoning model — o1-comparable quality with full chain-of-thought visible.

Mistral's coding-specialist model — 256K context, fast autocomplete, 80+ languages.

671B MoE (37B active) — frontier-class quality at a fraction of competitor pricing.

14B small-language model — outperforms much larger models thanks to curated synthetic data.

Fast, cheap, multimodal — 1M context at the lowest tier-1 pricing.

OpenAI's text-to-video model — up to 20-second 1080p clips.

70B-parameter open-weights model matching Llama 3.1 405B quality at a fraction of the cost.

OpenAI's reasoning flagship — chain-of-thought trained via large-scale RL.

StepFun's trillion-parameter MoE flagship — one of China's most-watched closed labs.

Tencent's flagship MoE — the engine behind Yuanbao and many internal Tencent products.

Anthropic's fast tier — sub-second responses for high-throughput workloads.

01.AI's fast tier — top-tier quality at consumer-app latency.

Open-weights 72B from the Qwen 2.5 family — Apache 2.0, runs on a single 8×A100 node.

Cohere's RAG-first enterprise flagship — strong citations, on-prem, BYOC deployment.

Mistral's flagship — 123B parameters, EU-resident, with research-only weights available.

Meta's largest open-weights model — 405B dense parameters under permissive license.

Baichuan AI's flagship — strong Chinese-language and medical-domain performance.

OpenAI's multimodal flagship — text, vision, audio, and image in one model.