Measured benchmarks
Output speed, tokens/s (Artificial Analysis)
Published by Artificial Analysis. Source page ↗ · Data we read ↗
Not a benchmark: median output tokens per second measured on the provider's API.
Facts
| Fact | Value | Where it comes from |
|---|---|---|
| Who runs the evaluation | an independent organisation | curated by aiqbench, reviewed 2026-10-09 |
| Test set exposure | live / refreshed | curated by aiqbench, reviewed 2026-10-09 |
| Data licence | CC-BY-4.0 | the board's attribution record |
| Newest published result | 2 days ago | the ingested rows |
| Last pulled by aiqbench | 14 hours ago · every 12 h | the sync log |
| Models on this axis | 467 | the ingested rows |
| Rows with a published interval | none published | the ingested rows |
| Headroom at the top | Best 1902.314; top 10 within 1526.700. | computed from the ingested rows |
| Axes it tracks closely | None measured yet: 5 pairs are under the shared-model floor. | Spearman ρ over shared models (see Clusters) |
Where it appears
Not in any built-in template; selectable in the console.
View this axis alone in the console →Attribution
Source: Every Eval Ever datastore (EvalEval coalition), https://huggingface.co/datasets/evaleval/EEE_datastore, licensed CC BY 4.0 (https://creativecommons.org/licenses/by/4.0/). Underlying results published by Artificial Analysis — https://artificialanalysis.ai/, converted into the EEE schema by the coalition's adapters. Modified by aiqbench: the 'artificial-analysis-llms' collection's headline result per model, normalised into aiqbench's common board format. Median output tokens per second on the provider's API; attribution to artificialanalysis.ai is required by their terms.