SpeechifyAI vs Hume

Hume's EVI is an expressive, empathic speech-to-speech model priced $0.04–0.07/min — but that excludes the LLM (billed separately by your provider) and the lowest rates need a large plan. SpeechifyAI is truly all-in from $0.07/min with the LLM included, plus deterministic workflows, tool calling, and compliance — and 60 free minutes a month versus Hume's 5.

SpeechifyAI
Hume
SpeechifyAI at a glance
$0.07/min
all-in — LLM included
60
free minutes every month
Tool calling
+ webhooks
SOC 2
Type II certified
SpeechifyAI vs Hume, capability by capability
Capability SpeechifyAI Hume
Pricing From $0.07/min all-in — LLM included · 60 free min/mo $0.04–0.07/min + external LLM billed separately
LLM cost Included, no passthrough Bring-your-own, billed by your LLM provider
Free tier 60 min/mo, commercial use 5 min/mo
Primary strength Production platform: workflows, integrations, compliance Emotionally expressive, empathic voice
Workflow editor Visual + code, deterministic Build-your-own
Integrations Tool calling + webhooks Build-your-own
Compliance SOC 2 Type II SOC 2 Type II

What will an agent cost at your volume?

SpeechifyAI is one per-minute rate with the LLM included. Most competitors quote a platform fee, then bill the LLM and telephony on top. Drag your monthly minutes and switch the competitor to see the difference. Rates are from each vendor's public pricing.

Your monthly volume
6,000 minutes / mo
≈ 1,200 calls at ~5 min each
500 min50,000 min
SpeechifyAI · all-in one bill
$420 /mo
$0.07/min · everything included
  • LLM
  • Speech-to-text
  • Text-to-speech
  • Telephony orchestration

One line item. No passthrough, no token math.

ElevenLabs · platform fee + extras
$480 /mo +
$0.08/min platform fee

    Rates vary by usage, region, and contract.

    Compare against

    SpeechifyAI at the $0.07/min Pro rate, LLM included; Scale drops to $0.068 and Enterprise to $0.06. Competitor "+" items are billed separately on top of the platform fee, so a competitor's true all-in is higher than its headline rate.

    Pre-computed scenarios

    Monthly volume SpeechifyAI, all-in ($0.07/min) Hume voice only ($0.04–0.07/min) You save
    1,000 min · ≈200 calls $70/mo from $40/mo $-30/mo +
    6,000 min · ≈1,200 calls $420/mo from $240/mo $-180/mo +
    20,000 min · ≈4,000 calls $1,400/mo from $800/mo $-600/mo +

    The "+" marks the LLM and telephony Hume bills separately on top of the platform fee — so the true saving is larger than the platform-fee gap shown.

    SpeechifyAI vs Hume, in plain English

    The LLM is included

    Hume's Empathic Voice Interface is a strong empathic voice model at $0.04 to $0.07 a minute, but the per-minute price excludes the LLM; you bring an external provider and pay them separately, so the actual bill is the EVI subscription plus whatever the model spend turns out to be. SpeechifyAI is from $0.07 a minute on Pro with the LLM in the rate, so the bill stays predictable as model choices change, and a smarter model landing later leaves the rate unchanged.

    Emotion plus the production layer

    Hume's emotion model is genuinely distinctive: 48 emotions and 600 voice descriptors, trained for empathic delivery. SpeechifyAI gives you emotion control plus SSML for warmth, urgency, or calm where the script asks for it, alongside deterministic workflows, tool calling, webhooks, simulated test callers, telephony, and SOC 2 Type II, which together cover the production layer Hume leaves to the customer.

    The verdict

    SpeechifyAI is a single per-minute rate from $0.07 with the LLM included so the bill stays predictable as model choices change, plus emotion control, SSML, deterministic workflows, tool calling, telephony, and SOC 2 Type II compliance in the platform fee.

    Privacy preferences

    Choose what we may store on this device. You can change this at any time from the footer.

    Strictly necessary

    Sign-in, security, load balancing, and remembering your privacy choices. These cannot be switched off.

    Always on

    Analytics

    How the site is used in aggregate - which pages get read, where people get stuck - so we can improve it.

    Marketing

    Measures which campaigns bring people here, and lets us show relevant ads on other platforms.