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Groq: Distil Whisper Large V3 EN

Groq
Streaming Vision
128K
Context
$0.0300
Input /1M
Free
Output /1M
8K
Max Output

Groq: Distil Whisper Large V3 EN

Model Overview

Property Value
Model ID groq/distil-whisper-large-v3-en
Name Distil Whisper Large V3 EN
Parameters 320M

Description

Groq: Distil Whisper Large V3 EN is a language model provided by the provider. This model offers advanced capabilities for natural language processing tasks.

Specifications

Spec Value
Context Window 128K tokens
Max Completion 8K tokens
Inference Speed 0 tokens/second

Pricing

Type Price
Input $0.03 per 1M tokens
Output $0.00 per 1M tokens

Capabilities

  • Fast inference engine (Groq LPU)
  • Cost-effective token processing
  • Reliable production performance
  • Streaming support

Limitations

  • 128K token context window
  • Maximum completion tokens: 8K
  • No image generation (inference only)

Performance

Groq specializes in rapid inference with industry-leading token throughput. Typical use cases include:

  • Real-time chat applications
  • Batch processing with guaranteed latency
  • High-volume inference workloads
  • Cost-sensitive deployments

Best Practices

  1. Token Optimization: Craft prompts to minimize token usage while maintaining quality
  2. Streaming: Use streaming responses for real-time applications
  3. Batch Processing: Leverage high TPM limits for batch inference
  4. Context Management: Utilize full context window for complex tasks

Rate Limits

  • 30000 TPM (Tokens Per Minute)
  • Optimized for high-throughput inference

Features

  • High-speed token generation (0 tokens/sec)
  • 128K token context window
  • Suitable for: English speech recognition, fast audio processing

Integration

Use the standard OpenAI-compatible API endpoint:

curl -X POST https://api.langmart.ai/v1/chat/completions \
  -H "Authorization: Bearer $GROQ_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{
    "model": "groq/distil-whisper-large-v3-en",
    "messages": [
      {"role": "user", "content": "Hello!"}
    ]
  }'

Resources


Last updated: December 2025 Source: Groq Official Documentation