Note: Overall leaderboard rankings may not reflect true model quality — individual benchmarks give a clearer picture. ARC-Challenge MMLU GPQA GSM8K Artificial Analysis Intelligence Index v4.1
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LibriSpeech (test-other) (-)

7 models

Top 5 Models Performance

AI at Meta: wav2vec2-base-960h #################### -8.6
NVIDIA Corporation: stt_en_citrinet_256_ls ####################### -9.8
cactus-compute: whistle ######################### -10.49
OpenAI: whisper-tiny.en ################################### -14.6
OpenAI: whisper-tiny ######################################## -16.9
– 970 – 1.1T
– 2019 – 2026
Rank Model Score
❓ 1 AI at Meta: wav2vec2-base-960h -8.6
🇺🇸 2 NVIDIA Corporation: stt_en_citrinet_256_ls -9.8
❓ 3 cactus-compute: whistle -10.49
🇺🇸 4 OpenAI: whisper-tiny.en -14.6
🇺🇸 5 OpenAI: whisper-tiny -16.9
❓ 6 igorktech: femto-asr -25.36
❓ 7 auroraai-research: auroraasr-1m -26.5