Scale Labs AudioMC – Audio Output (AudioMC – Audio Output)
We show this table for reference; we do not rank on it.
A Scale Labs public leaderboard mirrored as display-only reference data. It does not affect BenchLM rankings.
Scale score on AudioMC – Audio Output — September 29, 2026 snapshot
We mirror the published scale score view for AudioMC – Audio Output. gpt-realtime-2 (xHigh) leads the public snapshot at 48.5%, followed by tml-interaction-small (43.4%) and GPT Realtime 2 (37.6%). We do not use these results to rank models overall.
gpt-realtime-2 (xHigh)
OpenAI
tml-interaction-small
Thinkingmachines
GPT Realtime 2
OpenAI
15 modelsMultimodal & GroundedCurrentDisplay onlyUpdated September 29, 2026 snapshot
Scale score table (15 models)
ScoreHow to read this leaderboard
Compare the published configurations as complete evaluation systems. The source can combine a base model, agent scaffold, tools, budget, and inference setting in each result.
Operator receipt: 15 sourced rows are currently displayable on this page; the leading published row is gpt-realtime-2 (xHigh) at 48.5%.
Honest limit: This Scale table is display-only context, not benchmark provenance or a weighted model-only comparison.
How BenchLM shows AudioMC – Audio Output
BenchLM mirrors 15 published rows from Scale Labs’ public AudioMC – Audio Output leaderboard, captured on September 29, 2026 snapshot.
The table is display only. It is useful context for a published agent or model configuration, but it does not enter BenchLM’s overall or category rankings.
The published AudioMC – Audio Output snapshot places gpt-realtime-2 (xHigh) first at 48.5%. The third row is 10.8 points behind. The broader top-10 range is 28.1 points, so the table still separates the published systems.
15 models have been evaluated on AudioMC – Audio Output. The benchmark falls in the Multimodal & Grounded category. We keep external benchmark mirrors separate from the weighted global scoring system, so these results remain source-specific evidence. AudioMC – Audio Output is currently displayed for reference but excluded from the scoring formula, so it does not directly affect overall rankings.
About AudioMC – Audio Output
Year
2026
Tasks
15 published rows
Format
Published Scale leaderboard score
Difficulty
External agent and model evaluation
BenchLM mirrors 15 published rows from the AudioMC – Audio Output public table captured on September 29, 2026 snapshot.
Freshness and provenance
Version
AudioMC – Audio Output 2026
Refresh cadence
Quarterly
Staleness state
Current
Question availability
Public benchmark set
BenchLM uses freshness metadata to decide whether a benchmark should still be treated as a strong differentiator, a benchmark to watch, or a display-only reference. For the full scoring policy, see the BenchLM methodology page.
Questions
What does AudioMC – Audio Output measure?
A Scale Labs public leaderboard mirrored as display-only reference data. It does not affect BenchLM rankings.
Which model leads the published AudioMC – Audio Output snapshot?
gpt-realtime-2 (xHigh) currently leads the published AudioMC – Audio Output snapshot with 48.5% scale score. BenchLM shows this benchmark for display only and does not use it in overall rankings.
How many models are evaluated on AudioMC – Audio Output?
The September 29, 2026 snapshot snapshot contains 15 AI models.
Know when it’s worth switching models
The model to choose, the cheaper alternative, and the release we would wait on.
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