AI Battle > Rankings > Software Engineering AA-Omniscience Index Across Languages (Normalized)
null by null leads the Software Engineering AA-Omniscience Index Across Languages (Normalized) ranking with a score of 1.00. The ranking covers 20 evaluated eval omniscience from a public dataset that AI Battle re-checks daily.
Last updated: . Source: public benchmark datasets and provider pricing, aggregated daily; 20 entries shown.
| # | Entry | Creator | Value | Δ vs #1 |
|---|---|---|---|---|
| 1 | Claude Fable 5.1 (max with fallback) | 1.00 | 0.0% | |
| 2 | Claude Fable 5.1 (xhigh with fallback) | 0.97 | -3.5% | |
| 3 | GPT-6 Astra (max) | 0.96 | -4.3% | |
| 4 | GPT-6 Astra (xhigh) | 0.98 | -1.7% | |
| 5 | Claude Fable 5.1 (high with fallback) | 0.91 | -8.7% | |
| 6 | GPT-6 Astra (high) | 0.99 | -0.9% | |
| 7 | Claude Opus 5 (max) | 0.94 | -6.1% | |
| 8 | Claude Fable 5 (with fallback) | 0.98 | -1.7% | |
| 9 | GPT-6 Astra (medium) | 0.97 | -2.6% | |
| 10 | Muse Spark 1.3 (max) | 0.84 | -15.7% | |
| 11 | GPT-5.6 Sol (max) | 0.89 | -11.3% | |
| 12 | GLM-5.3 (max) | 0.76 | -24.3% | |
| 13 | Grok 4.6 (high) | 0.85 | -14.8% | |
| 14 | Kimi K3 (max) | 0.91 | -8.7% | |
| 15 | GPT-5.6 Terra (max) | 0.63 | -37.4% | |
| 16 | GLM-5.3-Flash | 0.70 | -29.6% | |
| 17 | Gemini 3.8 Flash (high) | 0.88 | -12.2% | |
| 18 | Qwen3.8 2.4T A95B | 0.66 | -33.9% | |
| 19 | DeepSeek V4.1 Flash (max) | 0.73 | -27.0% | |
| 20 | GPT-5.6 Luna (max) | 0.66 | -33.9% |
Across the 20 numeric entries in this window the median is 0.90 and the mean is 0.86, so the typical entry sits 0.10 below the leader. The window spans 0.63 to 1.00.
10 of 20 entries are at or above the median, and the top three hold 17% of the combined value — read it against the metric below, since a higher number is not "better" for every dataset.
The source dataset for this family does not publish a provider or creator label per entry, so AI Battle cannot group them: the table above is the complete published list. Where the dataset does carry a label (model, gateway and tool families do), this section names the creators and how many entries each holds.
This ranking carries the metrics
omniscience_C, omniscience_Dart, omniscience_Go, omniscience_HTML, omniscience_Java, omniscience_JavaScript, omniscience_Julia, omniscience_Kotlin, omniscience_PHP, omniscience_Python, omniscience_R, omniscience_Rust, omniscience_Swift, omniscience_TypeScript from the
Software Engineering AA-Omniscience Index Across Languages (Normalized) dataset in the tab::eval-omniscience family. Units and the
direction of "better" are not declared by the source dataset, so AI Battle does not invent
them: values are shown exactly as published, and the ordering is the source dataset's own.
Rebuilt on from the
public dataset Software Engineering AA-Omniscience Index Across Languages (Normalized) (family tab::eval-omniscience).
The source lists 20 entries and all 20 are shown here. AI Battle requests
the dataset's rows, keeps the ordering the source publishes, and computes only the statistics
on this page: median, mean, spread, the #1–#2 gap, the creator breakdown and the raw-data file.
Nothing on this page is generated text about the entries — the numbers come from the source.
Refresh cadence: every deploy re-pulls the dataset, so this page tracks the source's own update cycle. Corrections: see the methodology page.
Machine-readable copy of this table, with the statistics below and the source provenance: /data/rankings/eval-omniscience-software-engineering-aa-omniscience-index-across-languages-normalized.json. Free to reuse with attribution to AI Battle and the source dataset.
null by null currently leads the Software Engineering AA-Omniscience Index Across Languages (Normalized) ranking with a score of 1.00, the highest value in this dataset across eval omniscience. AI Battle aggregates the dataset from its public source and re-checks it daily.
The Software Engineering AA-Omniscience Index Across Languages (Normalized) ranking is rebuilt daily from the upstream public dataset. Scores are the source dataset's own published values, so positions track whatever that source last released — each ranking page names the dataset it comes from.
The top 3 are: 1. null (1.00), 2. null (0.97), 3. null (0.96).