GPT-Live 1 + GPT-6 Sol (low thinking)
- Near perfect on bookings, run after run.
- Model
- gpt-live-1
- Setting
- Delegates reasoning and tools to Sol
- Voice
- marin
- Turn taking
- Service turn detection
- Audio
- 24 kHz
- Cost
- Includes the delegated backend model.
GPT Realtime 2.1 is ahead on reliability, success rate, data accuracy, stalled calls, interruption and response time, and GPT-Live 1 + GPT-6 Sol (low thinking) on agent responses and cost.
Last updated Methodology by Dileep Chagam
Pick GPT-Live 1 + GPT-6 Sol (low thinking) for getting the agent's replies right (0.8 points higher) and lower cost ($0.030 cheaper). Pick GPT Realtime 2.1 for reliability across repeated calls (3.7 points higher), calls that pass every check (5.3 points higher), saving the caller's data correctly (3.0 points higher), fewer stalled calls (8.9 points lower), handling interruptions (0.09 higher) and fast replies (0.08s sooner).
Scenarios that passed on all three runs.
GPT Realtime 2.1, 3.7 points higher
Calls that passed every check.
GPT Realtime 2.1, 5.3 points higher
Calls where the agent's replies reached the expected outcome.
GPT-Live 1 + Sol low, 0.8 points higher
Calls where everything the agent saved matched exactly.
GPT Realtime 2.1, 3.0 points higher
Calls where the agent went silent for 10 seconds or more.
GPT Realtime 2.1, 8.9 points lower
How well it handled being talked over, 0 to 5.
GPT Realtime 2.1, 0.09 higher
Median time to start replying after the caller finishes.
GPT Realtime 2.1, 0.08s sooner
One minute of call at the vendor's published rates.
GPT-Live 1 + Sol low, $0.030 cheaper
The small figure is the place among ranked models. The cascade is not ranked.
GPT Realtime 2.1 1.94s, GPT-Live 1 + Sol low 2.02s at the median.
GPT Realtime 2.1 is more reliable, by 3.7 points. GPT-Live 1 + GPT-6 Sol (low thinking) passed 62 of 82 scenarios on all three runs, and GPT Realtime 2.1 passed 65. A scenario only counts when every run of it passed.
For a phone agent, GPT Realtime 2.1, since it gets more scenarios right on every run. GPT Realtime 2.1 is ahead on reliability, success rate, data accuracy, stalled calls, interruption and response time, and GPT-Live 1 + GPT-6 Sol (low thinking) on agent responses and cost.
GPT Realtime 2.1, by 3.0 points. GPT-Live 1 + GPT-6 Sol (low thinking) saved everything exactly right on 89.0% of the calls that save data, and GPT Realtime 2.1 on 92.0%. On Appointments, 100.0% against 95.9%. On Medicare, 60.6% against 81.8%. A call counts only when nothing is missing, wrong, extra or saved twice.
No. GPT Realtime 2.1 starts replying 0.08s sooner at the median. GPT-Live 1 + GPT-6 Sol (low thinking) takes 2.02s at the median and 2.42s at p90; GPT Realtime 2.1 takes 1.94s and 2.46s. Both are measured on the call audio, from the caller finishing to the agent starting to reply.
GPT Realtime 2.1, by 0.09 on a 0 to 5 scale. GPT-Live 1 + GPT-6 Sol (low thinking) scores 4.89 and GPT Realtime 2.1 4.98 for how well the agent handled being talked over.
GPT Realtime 2.1, by 8.9 points. The agent went silent for 10 seconds or more on 12.2% of GPT-Live 1 + GPT-6 Sol (low thinking) calls and 3.3% of GPT Realtime 2.1 calls.
GPT-Live 1 + GPT-6 Sol (low thinking) is $0.030 cheaper a minute. GPT-Live 1 + GPT-6 Sol (low thinking) costs $0.055 a minute of call and GPT Realtime 2.1 $0.085, at each vendor's published rates.
Cekura ran both as the whole agent in the same open-source Pipecat pipeline, with the same prompt, tools and connection. A simulated caller worked through all 82 scenarios on live calls, three times each, 2,952 calls across the benchmark. A call passes only when the agent said the right things and saved the right data.