- Reliability
- 58.5%
- Response time
- 2.31s
- Cost / min
- $0.0224
Deepslate Opal is ahead on reliability, success rate, agent responses and data accuracy, and Higgs Realtime on calls where the agent went quiet, interruption, response time and cost.
Last updated Methodology by Dileep Chagam
Scenarios the agent passed on every one of its 3 runs.
Each model on its own: Deepslate Opal and Higgs Realtime
Deepslate Opal is more reliable, by 2.4 points. Deepslate Opal passed 48 of 82 scenarios on all three runs, and Higgs Realtime passed 46. A scenario only counts when every run of it passed.
Deepslate Opal is more reliable, by 2.4 points. Deepslate Opal passed 48 of 82 scenarios on all three runs, and Higgs Realtime passed 46. A scenario only counts when every run of it passed.
For a voice agent, Deepslate Opal, since it gets more scenarios right on every run. Deepslate Opal is ahead on reliability, success rate, agent responses and data accuracy, and Higgs Realtime on calls where the agent went quiet, interruption, response time and cost.
Deepslate Opal, by 12.2 points. Deepslate Opal saved everything exactly right on 78.5% of the calls that save data, and Higgs Realtime on 66.2%. On Booking calls, 88.3% against 91.8%. On Medicare calls, 53.0% against 0.0%. A call counts only when nothing is missing, wrong, extra or saved twice.
No. Higgs Realtime starts replying 0.37s sooner at the median. Deepslate Opal takes 2.31s at the median and 2.88s at p90; Higgs Realtime takes 1.94s and 2.02s. Both are measured on the call audio, from the caller finishing to the agent starting to reply.
Higgs Realtime, by 0.06 on a 0 to 5 scale. Deepslate Opal scores 4.94 and Higgs Realtime 5.00 for how well the agent handled being talked over.
Higgs Realtime, by 4.9 points. The agent went quiet for 10 seconds or more on 6.1% of Deepslate Opal calls and 1.2% of Higgs Realtime calls.
Higgs Realtime is $0.0163 cheaper a minute. Deepslate Opal costs $0.0224 a minute of call and Higgs Realtime $0.0061, 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, 3,690 calls across the benchmark. A call passes only when the agent said the right things and saved the right data.
Cekura runs these simulated calls on your agent and scores every one.