What are the strengths of this model?

Cutting-edge audio processing capabilities Advanced design by Zhipu AI Latest model architecture

What are the weaknesses of this model?

Non-open-source license Opaque internal structure Potential usage restrictions

What are the best use cases?

Advanced speech recognition tasks Analysis and processing of audio data Development of next-generation audio AI

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Zhipu AIProprietary

GLM-ASR-2512

Name: GLM-ASR-2512
Author: Zhipu AI

GLM-ASR-2512 is a speech large model developed by Zhipu AI. It is provided as a closed-source model with advanced speech processing capabilities.

Parameters

Undisclosed

Context Window

License

Proprietary

Release Date

2025-12-10

API Pricing

API pricing for this model is not yet available

Strengths

・Cutting-edge audio processing capabilities
・Advanced design by Zhipu AI
・Latest model architecture

Weaknesses

・Non-open-source license
・Opaque internal structure
・Potential usage restrictions

Use Cases

・Advanced speech recognition tasks
・Analysis and processing of audio data
・Development of next-generation audio AI

Deep Analysis

Model Type

Automatic Speech Recognition (ASR)

Parameters

1.5B (Nano variant)

CER

0.0717 (industry-leading)

Languages

17 (WER ≤ 20%)

Audio Duration Limit

≤ 30 seconds

File Size Limit

≤ 25 MB

Strengths

・Industry-leading CER of 0.0717
・Exceptional dialect support including Cantonese
・Low-volume speech robustness (whisper/quiet speech)
・Outperforms OpenAI Whisper V3 on multiple benchmarks
・Efficient custom dictionary for specialized terminology

Weaknesses

・30-second audio duration limit per request
・25 MB file size limit
・Primarily optimized for Chinese/English markets
・Closed-source API (Nano variant is open-source)
・May require multiple requests for long audio files

Competitor Comparison

Model	Arena	SWE	GPQA	Price
OpenAI Whisper V3 Large	N/A	N/A	N/A	$0.006/min
Google Cloud Speech-to-Text V2	N/A	N/A	N/A	$0.016/min
Azure Speech to Text	N/A	N/A	N/A	$1/hour
AssemblyAI Universal-2	N/A	N/A	N/A	$0.015/min

Overview

GLM-ASR-2512 is Zhipu AI's next-generation speech recognition model achieving a character error rate of 0.0717, reaching internationally leading standards. It excels at Chinese, English, and Cantonese recognition with robust performance in noisy environments and low-volume speech scenarios. The API version supports real-time transcription for meetings, customer service, and document input.

Benchmarks & Performance

CER of 0.0717 matches world's top speech recognition models. Lowest average error rate (4.10) among comparable open-source models. Significant advantages in Chinese benchmarks (Wenet Meeting, Aishell-1). Excels at mixed Chinese-English expressions, command-based text, and industry-specific terminology.

Detailed Comparison

Outperforms OpenAI Whisper V3 on multiple benchmarks, particularly in Chinese and dialect recognition. Competes with Google Cloud STT and Azure Speech on accuracy. Key advantage is dialect support and low-volume speech robustness. Trade-off is 30-second duration limit vs. longer audio support from competitors.

Community Feedback

Strong adoption in Chinese market for meeting transcription and customer service. GitHub repository has 806 stars. Developers praise dialect support and custom dictionary feature. Some note the 30-second limit as restrictive for long-form audio.

Use Cases

Ideal for real-time meeting transcription, customer service QA, live video captioning, office document input via voice, medical record entry, and multilingual communication. The custom dictionary feature is particularly valuable for specialized industries. Best suited for short-form audio processing.

Latest News

Released December 2025. Open-source GLM-ASR-Nano-2512 available on Hugging Face and ModelScope. API available through Z.AI developer platform. Last GitHub push March 6, 2026.

Sources

Analysis generated: 2026-05-24