BenchLeader

AudioMC leaderboard

As of 6 Nov 2026, the top score on AudioMC is 60.4% by Gemini 3.8 Flash (Google), ahead of Salesforce Launa Omni 1 at 59.7%, across 30 model configurations with a published result (Scale AI SEAL, result dated 9 Sep 2026). Questions are spoken, sometimes with audio evidence, and the model must answer from listening. AudioMC is shown for reference only and does not count toward the BenchLeader Index.

Key facts (as of 6 Nov 2026)

  • Gemini 3.8 Flash holds the top AudioMC score at 60.4% (Scale AI SEAL, 9 Sep 2026).
  • Salesforce Launa Omni 1 is second on AudioMC at 59.7% (Scale AI SEAL, 16 Oct 2026).
  • AudioMC: Multiple-choice questions asked and answered in audio. Scale AI (Scale AI SEAL).
  • 30 model configurations have a published AudioMC result on BenchLeader (BenchLeader, 6 Nov 2026).
  • AudioMC does not feed the BenchLeader Index; it is shown for reference (BenchLeader methodology).

Multiple-choice questions asked and answered in audio. Scale AI.

Published by
Scale AI SEAL
Category
Multimodal
Index weight
Reference only
Models
30
Data as of
6 Nov 2026
Newest result
16 Oct 2026

Scale AI SEAL Leaderboards.

What the test looks like

Questions are spoken, sometimes with audio evidence, and the model must answer from listening.

How it is scored

Accuracy, published by Scale AI.

What to keep in mind

Only audio-capable models are listed.

Top 15
  1. 1Gemini 3.8 Flash (high)60.4%
  2. 2Salesforce Launa Omni 159.7%
  3. 3Gemini 4 Argon (high)58.4%
  4. 4Inkling (thinking)56.6%
  5. 5Inkling Small54.9%
  6. 6Gemini 3 Pro (thinking)54.6%
  7. 7GPT Realtime 2 (xhigh)48.5%
  8. 8Gemini 2.5 Pro (thinking)46.9%
  9. 9Tml Interaction Small43.4%
  10. 10Gemini 2.5 Flash (thinking)40.0%
  11. 11GPT Realtime 237.6%
  12. 12Gemini 3.1 Flash Live (thinking)36.1%
  13. 13GPT Realtime 1.534.7%
  14. 14Gemini 3.1 Flash Live26.8%
  15. 15Voxtral Small 24B 250726.3%
30 of 30
#
1Gemini 3.8 Flashhigh60.4%62.02026-09-09
2Salesforce Launa Omni 159.7%–2026-10-16
3Gemini 4 Argonhigh58.4%66.02026-10-14
4Inklingthinking56.6%–2026-07-15
5Inkling Small54.9%52.12026-07-30
6Gemini 3 Prothinking54.6%–2025-12-17
7GPT Realtime 2xhigh48.5%–2026-05-07
8Gemini 2.5 Prothinking46.9%–2025-12-17
9Tml Interaction Small43.4%–2026-05-11
10Gemini 2.5 Flashthinking40.0%48.32025-12-17
11GPT Realtime 237.6%–2026-05-07
12Gemini 3.1 Flash Livethinking36.1%–2026-03-26
13GPT Realtime 1.534.7%–2026-02-23
14Gemini 3.1 Flash Live26.8%–2026-03-26
15Voxtral Small 24B 250726.3%–2026-02-25
16Gemini 2.5 Flash26.1%52.72026-02-23
17GPT 4o Audio25.4%–2026-02-25
18Qwen3 Omni 30B A3B Instruct24.3%–2026-02-25
19GPT Realtime23.4%–2025-12-17
20Gemini 2.5 Flash Native Audio 12 2025thinking21.5%–2026-02-25
21Mimo Audio 7Bthinking19.7%–2025-12-17
22Mimo Audio 7B18.6%–2025-12-17
23GPT Realtime Mini16.6%–2026-02-23
24Gemma 3n E4B15.5%36.72025-12-17
25Phi 4 Multimodal15.5%–2025-12-17
26GPT 4o Mini Audio14.8%–2025-12-17
27Gemini 2.5 Flash Native Audio 12 2025no reasoning13.9%–2026-03-14
28Kimi Audio 7B13.7%–2025-12-17
29Qwen2.5-Omni 7B11.9%–2025-12-17
30Lfm2 Audio 1 5B9.3%–2025-12-17

More multimodal benchmarks · All LLM benchmarks

Cite as: BenchLeader, “AudioMC leaderboard”, data as of 6 Nov 2026, https://www.benchleader.com/benchmarks/scale_audiomc.

AudioMC: questions

What does AudioMC measure?
Questions are spoken, sometimes with audio evidence, and the model must answer from listening. Scores are reported in percent of tasks solved; higher is better.
What is the top score on AudioMC?
As of 6 Nov 2026, the highest score on AudioMC is 60.4% by Gemini 3.8 Flash (result dated 9 Sep 2026), ahead of Salesforce Launa Omni 1 at 59.7%. Scores come from Scale AI SEAL and are re-read daily.
Which AI model leads AudioMC?
Gemini 3.8 Flash leads AudioMC with 60.4% as of 6 Nov 2026 (result dated 9 Sep 2026), ahead of Salesforce Launa Omni 1 at 59.7%.
How many models have AudioMC results?
30 model configurations have a AudioMC result on BenchLeader, all taken from Scale AI SEAL.
Who runs AudioMC and how often is it updated?
AudioMC is published by Scale AI SEAL. BenchLeader re-reads the published results once a day and records the date each result was published.
Does AudioMC count toward the BenchLeader Index?
No. AudioMC is shown for reference but left out of the composite index.