Every frontier voice API meters audio in and audio out, per token, on rented GPU time. The longer your users talk, the more you pay. Same conversation, published rates, as of August 2026.
| Provider | Audio in | Audio out | Per minute | Per hour | vs HawkTalk |
|---|---|---|---|---|---|
| HawkTalk WebSockets | $1.00 | $1.00 | $0.0015 | $0.09 | — |
| Gemini 3.1 Flash Live | $3.00 | $12.00 | $0.0113 | $0.68 | 7.5× |
| Gemini 2.5 Flash Native Audio | $3.00 | $12.00 | $0.0113 | $0.68 | 7.5× |
| Gemini 3.5 Live Translate | $3.50 | $21.00 | $0.0184 | $1.10 | 12.2× |
| GPT Realtime 2.1 mini | $10.00 | $20.00 | $0.0225 | $1.35 | 15.0× |
| GPT Realtime 2.1 | $32.00 | $64.00 | $0.0720 | $4.32 | 48.0× |
Per-minute figures use Google's own conversion of 25 audio tokens per second, at a 50/50 split between the user talking and the model answering.
| Provider | 1 hr/day, 1 user | 1 hr/day, 10 users | 1 hr/day, 100 users |
|---|---|---|---|
| HawkTalk — flat tier | $120 – $3,000 | $120 – $3,000 | $120 – $3,000 |
| Gemini 3.1 Flash Live | $246 | $2,464 | $24,637 |
| GPT Realtime 2.1 mini | $493 | $4,927 | $49,275 |
| GPT Realtime 2.1 | $1,577 | $15,768 | $157,680 |
One person, one assistant. Voice, tools and text on one key, on our silicon.
Better models, real concurrency. For an app with users, a practice, a small team.
You are shipping your own AI products and companies, and HawkTalk is what they run on. The full family, no caps.
The comparison stops at WebSockets because that is where their products stop. GPT Realtime and Gemini Live give you one model, one stream, one thing at a time. HawkTalkLive runs speaking, thinking, acting and logging as independent lanes at the same time, and lets you re-point a live call at a different brain without dropping it.
It costs more than the WebSocket tier. There is nothing on the other side of the table to compare it to.