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Semifly · Tokens & LLM Models

Large Language Models, made easy to compare, download, and run

Track the latest models, compare frontier and open-source LLMs, and download open-weight models — then run any of them on Semifly with tokens, GPU servers, and AI Foundry.

Genealogy

The whole family tree

Every major lab grouped by camp — US vs China, proprietary vs open — with each family’s key versions and years. The China open-weight branch is by far the busiest.

US proprietaryUS/EU openChina openChina proprietary

Key versions per lab, hand-curated as of 2026-06. Refreshed as new flagships ship.

Quality × Price

The whole field on one chart

Every model placed by quality (Artificial Analysis Intelligence Index) and input price — top-left is the value sweet spot. As of 2026-06-18.

Proprietary (API)Open-weight (self-host)Bubble size = context window
Capability over time

How the field got here — and how open caught up

LMArena Elo of the #1 proprietary model (blue) vs the #1 open-weight model (orange), 2023–2026. Open-weight nearly drew level in early 2025; since then the open #1 has been almost entirely Chinese — DeepSeek, Qwen, GLM, Kimi.

Proprietary #1Open-weight #1 (diamond = China)

Source: LMArena (Arena) Elo via BenchLM leaderboard history. Blue tracks the frontier milestones; orange is the open-weight #1 over time.

Adoption

Who is actually being used — and who gets paid

OpenRouter routes about 25T tokens a week across 8M+ developers. By real token volume, Chinese open-weight models dominate the usage charts — yet premium US models still capture most of the dollars.

China vendorOverseas

Top models · weekly tokens

By vendor · top-10 aggregate

The dollar–token split: China-origin models take 45%+ of tokens, while Anthropic holds ~12% of tokens but ~46% of dollar spend through premium pricing. Source: OpenRouter rankings (live-scraped) + market reporting. Per-language and per-use-case breakdowns are chart-only on OpenRouter and not yet scrapable.

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Tokens & API

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GPU servers

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AI Foundry

Managed compute for training, fine-tuning, and inference.

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