deepgram-cost-tuning

Optimize Deepgram costs and usage for budget-conscious deployments. Use when reducing transcription costs, implementing usage controls, or optimizing pricing tier utilization. Trigger: "deepgram cost", "reduce deepgram spending", "deepgram pricing", "deepgram budget", "optimize deepgram usage", "deepgram billing".

claude-codecodexopenclaw
4 Tools
deepgram-pack Plugin
saas packs Category

Allowed Tools

ReadWriteEditBash(ffmpeg:*)

Provided by Plugin

deepgram-pack

Claude Code skill pack for Deepgram (24 skills)

saas packs v1.0.0
View Plugin

Installation

This skill is included in the deepgram-pack plugin:

/plugin install deepgram-pack@claude-code-plugins-plus

Click to copy

Instructions

Deepgram Cost Tuning

Overview

Optimize Deepgram API costs through smart model selection, audio preprocessing to reduce billable minutes, usage monitoring via the Deepgram API, budget guardrails, and feature-aware cost estimation. Deepgram bills per audio minute processed.

Deepgram Pricing (2026)

Product Model Price/Minute Notes
STT (Batch) Nova-3 $0.0043 Best accuracy
STT (Batch) Nova-2 $0.0043 Proven stable
STT (Streaming) Nova-3 $0.0059 Real-time
STT (Streaming) Nova-2 $0.0059 Real-time
STT (Batch) Base $0.0048 Fastest
STT (Batch) Whisper $0.0048 Multilingual
TTS Aura-2 Pay-per-character See TTS pricing
Intelligence Summarize/Topics/Sentiment Included with STT No extra cost

Add-on costs:

  • Diarization: +$0.0044/min
  • Multichannel: billed per channel

Instructions

Step 1: Budget-Aware Transcription Service


import { createClient } from '@deepgram/sdk';

interface BudgetConfig {
  monthlyLimitUsd: number;
  warningThreshold: number;  // 0.0-1.0 (e.g., 0.8 = warn at 80%)
  costPerMinute: number;     // Base STT cost
}

class BudgetAwareTranscriber {
  private client: ReturnType<typeof createClient>;
  private config: BudgetConfig;
  private monthlySpendUsd = 0;
  private monthlyMinutes = 0;

  constructor(apiKey: string, config: BudgetConfig) {
    this.client = createClient(apiKey);
    this.config = config;
  }

  async transcribe(source: any, options: any) {
    // Estimate cost before transcription
    const estimatedCost = this.estimateCost(options);
    const projected = this.monthlySpendUsd + estimatedCost;

    if (projected > this.config.monthlyLimitUsd) {
      throw new Error(
        `Budget exceeded: $${this.monthlySpendUsd.toFixed(2)} spent, ` +
        `$${this.config.monthlyLimitUsd} limit`
      );
    }

    if (projected > this.config.monthlyLimitUsd * this.config.warningThreshold) {
      console.warn(
        `Budget warning: ${((projected / this.config.monthlyLimitUsd) * 100).toFixed(0)}% ` +
        `of $${this.config.monthlyLimitUsd} limit`
      );
    }

    const { result, error } = await this.client.listen.prerecorded.transcribeUrl(
      source, options
    );
    if (error) throw error;

    // Track actual usage
    const duration = result.metadata.duration / 60;  // Convert to minutes
    const actualCost = this.calculateCost(duration, options);
    this.monthlyMinutes += duration;
    this.monthlySpendUsd += actualCost;

    return result;
  }

  private estimateCost(options: any): number {
    // Conservative estimate — assume 5 minutes per file
    return this.calculateCost(5, options);
  }

  private calculateCost(minutes: number, options: any): number {
    let cost = minutes * this.config.costPerMinute;
    if (options.diarize) cost += minutes * 0.0044;  // Diarization add-on
    return cost;
  }

  getUsageSummary() {
    return {
      minutesUsed: this.monthlyMinutes.toFixed(1),
      spentUsd: this.monthlySpendUsd.toFixed(4),
      remainingUsd: (this.config.monthlyLimitUsd - this.monthlySpendUsd).toFixed(4),
      utilizationPercent: ((this.monthlySpendUsd / this.config.monthlyLimitUsd) * 100).toFixed(1),
    };
  }
}

// Usage:
const transcriber = new BudgetAwareTranscriber(process.env.DEEPGRAM_API_KEY!, {
  monthlyLimitUsd: 100,
  warningThreshold: 0.8,
  costPerMinute: 0.0043,
});

Step 2: Reduce Billable Minutes with Audio Preprocessing


# Remove silence — can save 10-40% of billable minutes
ffmpeg -i input.wav \
  -af "silenceremove=stop_periods=-1:stop_duration=0.5:stop_threshold=-30dB" \
  -ar 16000 -ac 1 -acodec pcm_s16le \
  trimmed.wav

# Speed up audio (1.25x) — saves 20% of billable minutes
# Deepgram handles slightly sped-up audio well
ffmpeg -i input.wav \
  -filter:a "atempo=1.25" \
  -ar 16000 -ac 1 -acodec pcm_s16le \
  faster.wav

import { execSync } from 'child_process';

function measureSavings(inputPath: string) {
  // Get original duration
  const origDuration = parseFloat(
    execSync(`ffprobe -v quiet -show_entries format=duration -of csv=p=0 "${inputPath}"`)
      .toString().trim()
  );

  // Remove silence
  execSync(`ffmpeg -y -i "${inputPath}" \
    -af "silenceremove=stop_periods=-1:stop_duration=0.5:stop_threshold=-30dB" \
    -ar 16000 -ac 1 -acodec pcm_s16le /tmp/trimmed.wav 2>/dev/null`);

  const trimmedDuration = parseFloat(
    execSync(`ffprobe -v quiet -show_entries format=duration -of csv=p=0 /tmp/trimmed.wav`)
      .toString().trim()
  );

  const savings = ((1 - trimmedDuration / origDuration) * 100).toFixed(1);
  const costSaved = ((origDuration - trimmedDuration) / 60 * 0.0043).toFixed(4);

  console.log(`Original: ${origDuration.toFixed(1)}s`);
  console.log(`Trimmed: ${trimmedDuration.toFixed(1)}s`);
  console.log(`Savings: ${savings}% (${costSaved}/file at $0.0043/min)`);
}

Step 3: Query Deepgram Usage API


import { createClient } from '@deepgram/sdk';

async function getUsageDashboard(projectId: string) {
  const client = createClient(process.env.DEEPGRAM_API_KEY!);

  // Get usage for current month
  const now = new Date();
  const monthStart = new Date(now.getFullYear(), now.getMonth(), 1);

  const { result } = await client.manage.getUsage(projectId, {
    start: monthStart.toISOString(),
    end: now.toISOString(),
  });

  // Aggregate by model
  const byModel: Record<string, { minutes: number; cost: number }> = {};
  for (const entry of (result as any).results ?? []) {
    const model = entry.model ?? 'unknown';
    if (!byModel[model]) byModel[model] = { minutes: 0, cost: 0 };
    byModel[model].minutes += (entry.hours ?? 0) * 60 + (entry.minutes ?? 0);
  }

  console.log('=== Monthly Usage ===');
  for (const [model, data] of Object.entries(byModel)) {
    const cost = data.minutes * 0.0043;
    console.log(`${model}: ${data.minutes.toFixed(1)} min ($${cost.toFixed(2)})`);
  }

  // Monthly projection
  const dayOfMonth = now.getDate();
  const daysInMonth = new Date(now.getFullYear(), now.getMonth() + 1, 0).getDate();
  const totalMinutes = Object.values(byModel).reduce((s, d) => s + d.minutes, 0);
  const projectedMinutes = (totalMinutes / dayOfMonth) * daysInMonth;
  const projectedCost = projectedMinutes * 0.0043;

  console.log(`\nProjected monthly: ${projectedMinutes.toFixed(0)} min ($${projectedCost.toFixed(2)})`);
}

Step 4: Cost-Optimized Model Selection


function recommendModel(params: {
  qualityNeeded: 'high' | 'medium' | 'low';
  isRealtime: boolean;
  languages: string[];
  budgetPerMinute?: number;
}): { model: string; pricePerMin: number; reason: string } {
  const { qualityNeeded, isRealtime, languages, budgetPerMinute } = params;

  // Multilingual -> Whisper
  if (languages.length > 1 || !['en', 'es', 'fr', 'de'].includes(languages[0])) {
    return { model: 'whisper-large', pricePerMin: 0.0048, reason: 'Multilingual support' };
  }

  // Budget constraint
  if (budgetPerMinute !== undefined && budgetPerMinute < 0.005) {
    return { model: 'nova-2', pricePerMin: 0.0043, reason: 'Best price per quality' };
  }

  // Real-time -> Nova-3 (streaming price $0.0059/min)
  if (isRealtime) {
    return { model: 'nova-3', pricePerMin: 0.0059, reason: 'Best real-time accuracy' };
  }

  // Quality based
  switch (qualityNeeded) {
    case 'high':
      return { model: 'nova-3', pricePerMin: 0.0043, reason: 'Highest accuracy' };
    case 'medium':
      return { model: 'nova-2', pricePerMin: 0.0043, reason: 'Good accuracy, proven' };
    case 'low':
      return { model: 'base', pricePerMin: 0.0048, reason: 'Fastest processing' };
  }
}

Step 5: Feature Cost Awareness


// Feature cost breakdown per minute of audio
const featureCosts: Record<string, { cost: number; description: string }> = {
  // Free features (included with STT)
  smart_format:   { cost: 0,      description: 'Punctuation + paragraphs + numerals' },
  punctuate:      { cost: 0,      description: 'Punctuation only' },
  paragraphs:     { cost: 0,      description: 'Paragraph formatting' },
  summarize:      { cost: 0,      description: 'AI summary (included with STT)' },
  detect_topics:  { cost: 0,      description: 'Topic detection (included)' },
  sentiment:      { cost: 0,      description: 'Sentiment analysis (included)' },
  intents:        { cost: 0,      description: 'Intent recognition (included)' },
  redact:         { cost: 0,      description: 'PII redaction (included)' },

  // Paid add-ons
  diarize:        { cost: 0.0044, description: 'Speaker identification (+$0.0044/min)' },
  multichannel:   { cost: 0.0043, description: 'Per-channel billing (1x STT cost per channel)' },
};

function estimateJobCost(params: {
  durationMinutes: number;
  model: string;
  features: string[];
  channels?: number;
}): number {
  const baseCost = params.durationMinutes * 0.0043;
  let addOnCost = 0;

  for (const feature of params.features) {
    addOnCost += (featureCosts[feature]?.cost ?? 0) * params.durationMinutes;
  }

  // Multichannel: billed per channel
  const channelMultiplier = params.channels ?? 1;

  return (baseCost + addOnCost) * channelMultiplier;
}

// Example: 60 min meeting with diarization
// estimateJobCost({ durationMinutes: 60, model: 'nova-3', features: ['diarize'] })
// = (60 * 0.0043) + (60 * 0.0044) = $0.258 + $0.264 = $0.522

Output

  • Budget-aware transcription with auto-blocking
  • Audio preprocessing to reduce billable minutes
  • Usage dashboard via Deepgram API
  • Cost-optimized model recommendation
  • Feature cost breakdown with estimation

Cost Optimization Quick Wins

Strategy Savings Effort
Remove silence from audio 10-40% Low (ffmpeg one-liner)
Disable diarization when not needed ~50% Low (remove option)
Use callback for long files Indirect (no timeouts) Low
Cache repeated transcriptions 20-60% Medium (Redis)
Speed up audio 1.25x 20% Low (ffmpeg)
Use Nova-2 instead of Nova-3 0% (same price) None
Batch pre-recorded vs streaming 37% ($0.0043 vs $0.0059) Medium

Error Handling

Issue Cause Solution
Budget exceeded No controls Enable budget check before transcription
Unexpected charges Diarization always on Make diarization opt-in
Usage API empty Wrong project ID Get ID from getProjects()
Cost spike Batch job without limits Set concurrency limits + budget cap

Resources

Ready to use deepgram-pack?