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  4. /qwen3.8-max-0902 / audio-to-text
Qwen
Qwen3.8 Max 0902
$ 
The qwen3.8-max-0902 API audio to text engine provides robust, high-fidelity transcription capabilities for developers. By leveraging this model on GPT Proto, users can convert complex audio streams into precise, structured text with industry-leading efficiency. Perfect for meetings, media analysis, and automated documentation, the qwen3.8-max-0902 API audio to text service ensures that your voice data is transformed into actionable insights with minimal latency and superior linguistic accuracy.

模態

輸入: 文字輸入: 圖像輸入: 影片輸入: 文件輸入: 音訊
輸出: 文字

/

Qwen3.8 Max 0902 pricing

Estimate a request with real work scenarios. GPTProto token pricing is 10% below official rates.

用量數量單價小計
tokens
$1.8/1M$0.0027
tokens
$5.4/1M$0.0043
tokens
$2.25/1M$0.0067
tokens
$0.225/1M$0.0056
單次請求費用$0.0193
請求次數
儲值金額

儲值 $100 你將獲得:

1、

儲值額度永久有效。你總共會收到 $100.00。

2、

額外 10% 模型折扣,相較官方 Qwen API 可節省 $11.0902。

相關模型
所有模型
Qwen3.8 Max 0902
目前
$ 
byQwen$1.8/M input$5.4/M output
GLM 5.3 Flash
$ 
byZ-AI1.31M context$0.15/M input$0.5/M output
DeepSeek v4 Flash Vision Exp
$ 
byDeepSeek1.05M context$0.44/M input$1.32/M output
GLM 5.3
$ 
byZ-AI1.31M context$1.26/M input$3.96/M output
Gemini 3.7 Flash
$ 
byGoogle1.05M context$0.45/M input$2.25/M output
Grok 4.6
$ 
byGrok500K context$1.2/M input$3.6/M output
Qwen3.8 Max
$ 
byQwen1M context$1.8/M input$5.4/M output
Claude Opus 5
$ 
byClaude1M context$4.5/M input$22.5/M output
Gemini 3.6 Flash
$ 
byGoogle1.05M context$0.45/M input$2.25/M output
Gemini 3.5 Flash Lite
$ 
byGoogle1.05M context$0.18/M input$1.5/M output
Kimi K3
$ 
byMoonshotAI1.05M context$2.7/M input$13.5/M output
GPT 5.6 Luna
$ 
byOpenAI1.05M context$0.16/M input$0.96/M output
GPT 5.6 Terra
$ 
byOpenAI1.05M context$1.6/M input$9.6/M output
GPT 5.6 Sol
$ 
byOpenAI1.05M context$3.2/M input$16/M output
Grok 4.5
$ 
byGrok500K context$1.2/M input$3.6/M output
Claude Sonnet 5
$ 
byClaude1M context$1.8/M input$9/M output
MiniMax M3
$ 
byMiniMax1.05M context$0.48/M input$0.96/M output
GLM 5.2
$ 
byZ-AI1.05M context$1.26/M input$3.96/M output
Claude Fable 5
$ 
byClaude1M context$9/M input$45/M output
Qwen3.7 Max
$ 
byQwen1M context$0.36/M input$1.44/M output
DeepSeek v4 Flash
$ 
byDeepSeek1.05M context$0.44/M input$1.32/M output
DeepSeek v4 Pro
$ 
byDeepSeek1.05M context$1.32/M input$3.96/M output
Grok 4.3
$ 
byGrok1M context$0.75/M input$1.5/M output
Kimi K2.6
$ 
byMoonshotAI262K context$0.855/M input$3.6/M output
MiniMax M2.5
$ 
byMiniMax205K context$0.24/M input$0.96/M output
Kimi K2.5
$ 
byMoonshotAI262K context$0.54/M input$2.7/M output
Qwen Turbo
$ 
byQwen$0.045/M input$0.18/M output
Qwen Plus
$ 
byQwen1M context$0.36/M input$1.08/M output
Qwen3 Max
$ 
byQwen262K context$1.08/M input$5.4/M output
Doubao Seed 1.6 Thinking (Build 250715)
$ 
byBytedance262K context$0.0971/M input$0.9714/M output
Doubao Seed 1.6 Thinking (Build 250615)
$ 
byBytedance262K context$0.0971/M input$0.9714/M output
Doubao Seed 1.6 Flash (Build 250615)
$ 
byBytedance262K context$0.0182/M input$0.1821/M output
模型輸入 → 輸出
Qwen3.8 Max 0902目前
$ 
—$1.80 / $5.40 每 1M$2.25 / $0.23 每 1M
輸入: 文字輸入: 圖像輸入: 影片輸入: 文件輸入: 音訊
輸出: 文字
GLM 5.3 Flash
$ 
—1.31M$0.15 / $0.50 每 1M— / $0.03 每 1M
輸入: 文字輸入: 圖像輸入: 影片輸入: 文件
輸出: 文字
DeepSeek v4 Flash Vision Exp
$ 
—1.05M$0.44 / $1.32 每 1M— / $0.01 每 1M
輸入: 文字輸入: 圖像
輸出: 文字
GLM 5.3
$ 
1.31M$1.26 / $3.96 每 1M— / $0.23 每 1M
輸入: 文字輸入: 圖像輸入: 文件
輸出: 文字
Gemini 3.7 Flash
$ 
1.05M$0.45 / $2.25 每 1M— / $0.04 每 1M
輸入: 文字輸入: 圖像輸入: 文件
輸出: 文字
Grok 4.6
$ 
500K$1.20 / $3.60 每 1M— / $0.30 每 1M
輸入: 文字輸入: 圖像
輸出: 文字
Qwen3.8 Max
$ 
1M$1.80 / $5.40 每 1M$2.25 / $0.23 每 1M
輸入: 文字輸入: 圖像輸入: 影片輸入: 文件
輸出: 文字
Claude Opus 5
$ 
1M$4.50 / $22.50 每 1M$5.63 / $0.45 每 1M
輸入: 文字輸入: 圖像輸入: 文件
輸出: 文字
Gemini 3.6 Flash
$ 
1.05M$0.45 / $2.25 每 1M— / $0.04 每 1M
輸入: 文字輸入: 圖像輸入: 文件
輸出: 文字
Gemini 3.5 Flash Lite
$ 
1.05M$0.18 / $1.50 每 1M$0.02 / $0.02 每 1M
輸入: 文字輸入: 圖像輸入: 文件
輸出: 文字
Kimi K3
$ 
1.05M$2.70 / $13.50 每 1M$0.27 / $0.27 每 1M
輸入: 文字輸入: 圖像輸入: 文件
輸出: 文字
GPT 5.6 Luna
$ 
1.05M$0.16 / $0.96 每 1M$0.20 / $0.02 每 1M
輸入: 文字輸入: 圖像輸入: 文件
輸出: 文字
GPT 5.6 Terra
$ 
1.05M$1.60 / $9.60 每 1M$2.00 / $0.16 每 1M
輸入: 文字輸入: 圖像輸入: 文件
輸出: 文字
GPT 5.6 Sol
$ 
1.05M$3.20 / $16.00 每 1M$4.00 / $0.32 每 1M
輸入: 文字輸入: 圖像輸入: 文件
輸出: 文字
Grok 4.5
$ 
500K$1.20 / $3.60 每 1M$0.30 / $0.30 每 1M
輸入: 文字輸入: 圖像
輸出: 文字
Claude Sonnet 5
$ 
1M$1.80 / $9.00 每 1M$2.25 / $0.18 每 1M
輸入: 文字輸入: 文件
輸出: 文字
MiniMax M3
$ 
1.05M$0.48 / $0.96 每 1M$0.10 / $0.10 每 1M
輸入: 文字輸入: 圖像輸入: 文件
輸出: 文字
GLM 5.2
$ 
1.05M$1.26 / $3.96 每 1M$0.23 / $0.23 每 1M
輸入: 文字輸入: 圖像輸入: 文件
輸出: 文字
Claude Fable 5
$ 
1M$9.00 / $45.00 每 1M$11.25 / $0.90 每 1M
輸入: 文字輸入: 文件
輸出: 文字
Qwen3.7 Max
$ 
1M$0.36 / $1.44 每 1M$0.07 / $0.07 每 1M
輸入: 文字輸入: 文件
輸出: 文字
DeepSeek v4 Flash
$ 
—1.05M$0.44 / $1.32 每 1M— / $0.01 每 1M
輸入: 文字
輸出: 文字
DeepSeek v4 Pro
$ 
—1.05M$1.32 / $3.96 每 1M— / $0.04 每 1M
輸入: 文字
輸出: 文字
Grok 4.3
$ 
1M$0.75 / $1.50 每 1M$0.12 / $0.12 每 1M
輸入: 文字輸入: 圖像
輸出: 文字
Kimi K2.6
$ 
262K$0.85 / $3.60 每 1M$0.14 / $0.14 每 1M
輸入: 文字輸入: 文件
輸出: 文字
MiniMax M2.5
$ 
205K$0.24 / $0.96 每 1M$0.30 / $0.02 每 1M
輸入: 文字輸入: 文件
輸出: 文字
Kimi K2.5
$ 
262K$0.54 / $2.70 每 1M$0.09 / $0.09 每 1M
輸入: 文字輸入: 文件
輸出: 文字
Qwen Turbo
$ 
—$0.04 / $0.18 每 1M$0.009 / $0.009 每 1M
輸入: 文字
輸出: 文字
Qwen Plus
$ 
1M$0.36 / $1.08 每 1M$0.07 / $0.07 每 1M
輸入: 文字
輸出: 文字
Qwen3 Max
$ 
262K$1.08 / $5.40 每 1M$0.22 / $0.22 每 1M
輸入: 文字
輸出: 文字
Doubao Seed 1.6 Thinking (Build 250715)
$ 
262K$0.10 / $0.97 每 1M—
輸入: 文字輸入: 圖像
輸出: 文字
Doubao Seed 1.6 Thinking (Build 250615)
$ 
262K$0.10 / $0.97 每 1M—
輸入: 文字輸入: 圖像
輸出: 文字
Doubao Seed 1.6 Flash (Build 250615)
$ 
262K$0.02 / $0.18 每 1M—
輸入: 文字輸入: 圖像
輸出: 文字

Understanding qwen3.8-max-0902 API Audio to Text

The qwen3.8-max-0902 API audio to text model is a state-of-the-art speech recognition solution engineered for high-accuracy transcription. Designed for developers and enterprises, this model excels at converting spoken language into clean, formatted text, even in complex acoustic environments.

By utilizing qwen3.8-max-0902 API audio to text, users gain access to a powerful tool capable of handling diverse dialects, technical terminology, and varying audio qualities. Key features include:

  • High-precision speech recognition that maintains context across long audio segments.
  • Optimized API performance for near-real-time transcription results.
  • Seamless integration within the GPT Proto ecosystem for scalable deployments.
  • Support for professional-grade audio formats to ensure maximum clarity during processing.

Whether you are building a transcription service, a meeting assistant, or an accessibility tool, qwen3.8-max-0902 API audio to text provides the technical foundation needed to deliver high-quality results consistently.

Who Should Use qwen3.8-max-0902 API Audio to Text for Transcription Workflows

Who Should Choose qwen3.8-max-0902 API Audio to Text for Transcription?

The qwen3.8-max-0902 API audio to text model is ideal for teams and individuals requiring reliable, high-volume speech processing. It is specifically designed for:

  • Enterprise developers building automated meeting logging and documentation systems.
  • Media production teams needing fast, accurate captioning for video content.
  • Market researchers who need to transcribe long-form qualitative interviews for analysis.
  • Educational platforms providing automated lecture notes and accessibility services for students.

Pro Tips for Using qwen3.8-max-0902 API Audio to Text

  • Ensure input audio is clear and free of significant background noise to maximize the transcription accuracy of qwen3.8-max-0902 API audio to text.
  • For long recordings, use segmentation to process audio in smaller windows, which can improve the overall response latency.
  • When handling technical or domain-specific terminology, consider providing context or a glossary within your application logic to guide the model.
  • Always test your audio file formats against the supported list in the GPT Proto documentation to ensure full compatibility with the qwen3.8-max-0902 API audio to text endpoint.
  • Monitor your API usage metrics in the dashboard to optimize your requests and manage your account balance effectively.

Harnessing qwen3.8-max-0902 API Audio to Text for Enterprise Transcription

The qwen3.8-max-0902 API audio to text model is designed for developers who require high-performance speech-to-text conversion. Start your integration today by visiting GPT Proto to access your API keys.

Solving Transcription Bottlenecks

In modern digital workflows, the ability to convert unstructured audio into searchable, analytical text is a critical requirement. The qwen3.8-max-0902 API audio to text model addresses the challenges of multi-speaker environments, background noise, and technical jargon by employing sophisticated linguistic modeling. Unlike legacy transcription tools, this model provides improved context retention, allowing for more accurate punctuation and logical sentence structure in the final output. By utilizing the qwen3.8-max-0902 API audio to text endpoint, developers can offload heavy processing tasks to our robust infrastructure, ensuring consistent uptime and output quality.

Streamlining Meeting Summarization

For organizations managing high volumes of recorded meetings, the qwen3.8-max-0902 API audio to text capability is transformative. By integrating this model, you can automate the generation of meeting transcripts, which can then be fed into downstream LLMs for summary generation. Users should focus on providing clear, high-bitrate audio files to ensure the qwen3.8-max-0902 API audio to text engine captures every nuance of the discussion accurately.

Media and Content Accessibility

Content creators use the qwen3.8-max-0902 API audio to text service to generate high-quality captions and subtitles for video content. This workflow not only improves accessibility but also enhances SEO for video-heavy platforms. When using the qwen3.8-max-0902 API audio to text model, it is recommended to segment long audio files into manageable chunks to maintain precise time-stamping accuracy throughout the process.

The precision of qwen3.8-max-0902 API audio to text allows our team to turn hours of raw interviews into structured datasets in minutes, significantly reducing manual effort.

Integration Advantages on GPT Proto

Integrating qwen3.8-max-0902 API audio to text within the GPT Proto ecosystem provides unparalleled stability and ease of access. Our platform documentation at docs.gptproto.com provides comprehensive guides on handling API requests, error management, and optimizing payload sizes. We prioritize developer experience, ensuring that your transition to the qwen3.8-max-0902 API audio to text model is seamless and efficient.

FeatureStandard Modelsqwen3.8-max-0902 API Audio to Text
Linguistic NuanceBasicHigh-Fidelity
LatencyVariableOptimized
API StabilityModerateHigh

Billing and Operational Management

We maintain a transparent approach to service usage. To continue using the qwen3.8-max-0902 API audio to text model, ensure you regularly Add Funds to your account. You can monitor your usage patterns directly through the User Dashboard. For further insights on how to optimize your implementation, explore our latest articles at GPT Proto Blog.

Frequently Asked Questions About qwen3.8-max-0902 API Audio to Text

Get answers to common questions regarding the qwen3.8-max-0902 API audio to text model and its integration.

What is qwen3.8-max-0902 API audio to text?

The qwen3.8-max-0902 API audio to text is a high-performance model for converting spoken audio into written text.

How do I access qwen3.8-max-0902 API audio to text?

You can access qwen3.8-max-0902 API audio to text via the GPT Proto developer portal.

Is qwen3.8-max-0902 API audio to text accurate?

Yes, qwen3.8-max-0902 API audio to text is designed for high-fidelity performance.

Does qwen3.8-max-0902 API audio to text support multiple languages?

qwen3.8-max-0902 API audio to text is optimized for broad linguistic support.

How do I pay for qwen3.8-max-0902 API audio to text usage?

You can Top-up Balance in your account to use qwen3.8-max-0902 API audio to text.

Can qwen3.8-max-0902 API audio to text handle noisy audio?

qwen3.8-max-0902 API audio to text includes noise-robust processing features.

What audio formats work with qwen3.8-max-0902 API audio to text?

Check the GPT Proto documentation for supported formats for qwen3.8-max-0902 API audio to text.

Is there a limit for qwen3.8-max-0902 API audio to text?

Rate limits for qwen3.8-max-0902 API audio to text are managed via your API settings.

How fast is qwen3.8-max-0902 API audio to text?

qwen3.8-max-0902 API audio to text is optimized for efficient processing.

Can I use qwen3.8-max-0902 API audio to text for meetings?

Absolutely, qwen3.8-max-0902 API audio to text is excellent for meeting transcriptions.

Is qwen3.8-max-0902 API audio to text secure?

GPT Proto treats all qwen3.8-max-0902 API audio to text data with high security.

Where can I find docs for qwen3.8-max-0902 API audio to text?

Visit docs.gptproto.com for full qwen3.8-max-0902 API audio to text guides.

GPT Proto

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導覽

  • 儀表板
  • 模型
  • 建立圖片
  • AI 圖片放大
  • AI 背景移除
  • 建立影片
  • 在畫布中編輯
  • 聊天
  • 功能
  • 定價
  • AI 文件
  • AI 部落格
  • AI 洞察
  • AI 技能

功能

  • AI 包裝設計生成器
  • 動漫 AI 藝術生成器
  • AI 物件移除器
  • AI 圖片編輯器
  • AI 動作轉移
  • AI 浮水印移除工具
  • 線上 AI 圖片增強器
  • 線上背景移除工具
  • AI 臉部交換圖片
  • AI 護照照片製作器
  • MS Paint AI 生成器
  • AI 衣物移除器
  • 無限制AI圖片生成器
  • AI 法式接吻生成器
  • AI 電影海報產生器
  • Artlist IO 工作室
  • 線上魔術橡皮擦
  • Luma Dream Machine
  • 臉部評分
  • 護照尺寸照片
Explore all features >

LLM

  • Qwen3.8 Max 0902
  • GLM 5.3
  • Claude Fable 5
  • DeepSeek v4 Pro
  • Gemini 3.7 Flash
  • Grok 4.6
  • GLM 5.3 Flash
  • DeepSeek v4 Flash Vision Exp
  • Qwen3.8 Max
  • Claude Opus 5
  • Gemini 3.6 Flash
  • Gemini 3.5 Flash Lite
  • Kimi K3
  • GPT 5.6 Luna
  • GPT 5.6 Terra
  • GPT 5.6 Sol
  • Grok 4.5
  • Claude Sonnet 5
  • MiniMax M3
  • GLM 5.2
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