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Which LLM is worth it

▲ 184 points • 113 comments • by terryds • 2w ago • HN discussion ↗

Pangram verdict · v3.3

We believe that this entire text is AI.

86 %

AI likelihood · overall

AI
0% human-written 100% AI-generated
SEGMENTS · HUMAN 0 of 1
SEGMENTS · AI 1 of 1
WORD COUNT 373
PEAK AI % 86% · §1
Analyzed
Sep 24
backend: pangram/v3.3
Segments scanned
1 windows
avg 373 words each
Distribution
0 / 100%
human / AI fraction
Verdict
AI
Pangram v3.3

Article text · 373 words · 1 segments analyzed

Human AI-generated
§1 AI · 86%

Every model on the Artificial Analysis Intelligence Index plotted against its blended API price. Models on the value frontier are the ones where nothing cheaper is also smarter; everything else is beaten on both counts by a point on the line. By default only the best variant of each model is shown and low scorers are hidden; use the filters to widen the field. Loading data… Min score 30 One row per model Maker Frontier only Label every point Performance vs price Blended cost per 1M tokens (3:1 input:output, log scale) against the Intelligence Index. Hover or tab to a point for details. On the value frontier Dominated: a cheaper model matches or beats it Value frontier Best model for your budget The frontier as a lookup table. Find the row your budget falls in; the pick is the highest-scoring model you can get at that price, and the runner-up is the next best that also fits. Budget per 1M tokensPickScorePriceRunner-up Raw capability Ignoring cost entirely. What changed Diff between consecutive daily fetches: new models, removed models, and re-scored or re-priced ones. All figures Click a column header to sort. Names link to the model's Artificial Analysis page. Model Maker Intelligence Coding Math Blended $/1M Input $/1M Output $/1M Tokens/s TTFT s How to read this Value frontier. Sort by price ascending and keep every model that scores higher than everything cheaper. Ties on price go to the higher score; ties on score go to the cheaper model. Blended price is Artificial Analysis's 3:1 input:output blend per 1M tokens. Cached-input discounts, batch pricing and fast modes are not included. "One row per model" keeps the highest-scoring effort or reasoning variant of each model name (ties go to the cheaper one). Untick it to see every variant AA benchmarks separately, such as low, medium, high, xhigh and max effort. "Min score" hides models below that index from both the chart and the frontier calculation, so an old, tiny model at a rock-bottom price does not anchor the line. Scores move. AA re-bases the Index between versions, so compare against this page only, not against an older snapshot. Source: Artificial Analysis free data API, fetched daily by a GitHub Actions cron. Code and data: github.com/terryds/bestvaluemodel.