Overview | Skills Pool
Overview 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".
jeremylongshore 1,965 Sterne 03.04.2026
Beruf Kategorien Data Engineering 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
Schnellinstallation
Overview npx skills add jeremylongshore/claude-code-plugins-plus-skills
Autor jeremylongshore
Sterne 1,965
Aktualisiert 03.04.2026
Beruf Intelligence Summarize/Topics/Sentiment Included with STT No extra cost
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 02
Deepgram Pricing (2026)