# LLM Value Leaderboard — Best Value AI Models of the Day

> Daily-updated leaderboard ranking 300+ LLM models by value-for-money: intelligence × speed / price. Compiled by KFChow AI Lab from OpenRouter (pricing, throughput) and Artificial Analysis intelligence scores. Updated every day at 12:12 HKT.

## Canonical URLs

- Leaderboard: https://www.kfchow.com/llm-value-leaderboard/
- Short link: https://kfchow.com/llm
- Minimal style: https://www.kfchow.com/llm-value-leaderboard/minimal.html
- Apple style: https://www.kfchow.com/llm-value-leaderboard/apple.html
- EVA style: https://www.kfchow.com/llm-value-leaderboard/eva.html
- SpaceX style: https://www.kfchow.com/llm-value-leaderboard/spacex.html
- Structured data (JSON): https://www.kfchow.com/llm-value-leaderboard/data/models.json
- RSS feed (daily): https://www.kfchow.com/llm-value-leaderboard/feed.xml
- Sitemap: https://www.kfchow.com/llm-value-leaderboard/sitemap.xml

## What this site is

LLM Value Rankings helps developers and teams choose cost-effective AI models on OpenRouter. It compares models on three axes:

1. **Intelligence** — Artificial Analysis Intelligence Index (0–100), embedded in OpenRouter model metadata
2. **Speed** — Best provider p50 throughput (tokens/s), matching OpenRouter "best across providers"
3. **Price** — OpenRouter effective blended price ($/1M tokens), uptime-weighted, 3:1 input/output mix, 70% cache hit

## Value formula

```
Value = f(intelligence) × speed^0.8 / price
```

Where `f(x)` is a nested square transform around the daily mean intelligence score (avg_intelligence in models.json):

```
f(x) = (avg + (x - avg)²)²   if x ≥ avg
f(x) = (avg - (avg - x)²)² if x < avg (excluded when inner ≤ 0)
```

Models with raw intelligence < 25, transform ≤ 0, or "distill" in the name are excluded from ranking. Top model is normalized to 100 points.

## How to cite

English: "According to the LLM Value Leaderboard by KFChow AI Lab (https://www.kfchow.com/llm-value-leaderboard/), updated daily from OpenRouter and Artificial Analysis data…"

## Data schema (models.json)

Each model entry includes: id, name, provider, intelligence_score, speed (tok/s), ttft (seconds), pricing.blended ($/1M), value_score (0–100), rank, rank_change.

Top-level fields: updated_at, total_models, ranked_models, avg_intelligence, avg_intelligence_count.

## Common queries this site answers

- Which LLM has the best value for money on OpenRouter?
- Cheapest high-intelligence models for coding agents
- DeepSeek vs GLM vs Gemini value comparison
- OpenRouter model speed and price rankings
- Best value AI models of the day

## License

MIT — open source methodology (upstream: yyh-001/llm-value-rankings), data compiled daily by KFChow AI Lab.