AI Battle > Rankings > Cost per Hour of Input Audio (Big Bench Audio subset)
null by null leads the Cost per Hour of Input Audio (Big Bench Audio subset) ranking with a score of 1.42. The ranking covers 18 evaluated speech-to-speech from a public dataset that AI Battle re-checks daily.
Last updated: . Source: public benchmark datasets and provider pricing, aggregated daily; 18 entries shown.
| # | Entry | Creator | Value | Δ vs #1 |
|---|---|---|---|---|
| 1 | Gemini 2.5 Flash Native Audio Dialog | 1.42 | 0.0% | |
| 2 | Gemini 3.1 Flash Live Preview - Minimal | 1.50 | 5.5% | |
| 3 | Gemini 3.1 Flash Live Preview - High | 1.75 | 22.8% | |
| 4 | Qwen3 Omni 30B A3B Instruct (flash) | 1.77 | 24.0% | |
| 5 | Qwen3 Omni 30B A3B Instruct (realtime) | 2.26 | 58.5% | |
| 6 | Grok Voice Fast 1.0 | 3.00 | 110.5% | |
| 7 | Grok Voice Think Fast 1.0 | 3.00 | 110.5% | |
| 8 | GPT Realtime Mini (Oct '25) | 3.04 | 113.2% | |
| 9 | GPT-Realtime-2 (Minimal) | 3.07 | 115.5% | |
| 10 | GPT-Realtime-2.1 Mini High, OpenAI | 3.45 | 142.2% | |
| 11 | GPT-Realtime-2 (High) | 4.14 | 190.7% | |
| 12 | Qwen Audio 3.0 Realtime Plus, Alibaba Cloud | 4.42 | 210.3% | |
| 13 | GPT-Live-1 (Sol, low), OpenAI | 4.47 | 213.4% | |
| 14 | Qwen Audio 3.0 Realtime Flash, Alibaba Cloud | 4.77 | 235.0% | |
| 15 | Grok Voice Think Fast 2.0 High | 4.80 | 236.8% | |
| 16 | GPT-Live-1 (Astra, medium), OpenAI | 5.83 | 309.0% | |
| 17 | Deepslate Opal | 6.48 | 354.7% | |
| 18 | GPT-Realtime-2.1 High, OpenAI | 10.8 | 654.6% |
Across the 18 numeric entries in this window the median is 3.26 and the mean is 3.89, so the typical entry sits 1.84 above the leader. The window spans 1.42 to 10.8.
9 of 18 entries are at or above the median, and the top three hold 33% 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 metric
costPerHourOfInputAudio from the
Cost per Hour of Input Audio (Big Bench Audio subset) dataset in the tab::s2s 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 Cost per Hour of Input Audio (Big Bench Audio subset) (family tab::s2s).
The source lists 18 entries and all 18 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/s2s-cost-per-hour-of-input-audio-big-bench-audio-subset.json. Free to reuse with attribution to AI Battle and the source dataset.
null by null currently leads the Cost per Hour of Input Audio (Big Bench Audio subset) ranking with a score of 1.42, the highest value in this dataset across Speech-to-Speech. AI Battle aggregates the dataset from its public source and re-checks it daily.
The Cost per Hour of Input Audio (Big Bench Audio subset) 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 (1.42), 2. null (1.50), 3. null (1.75).