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Azure Realtime vs Gemini 3.8 Live Extended Thinking

Azure Realtime is ahead of Gemini 3.8 Live Extended Thinking on reliability, success rate, agent responses, data accuracy, stalled calls, interruption and response time.

Last updated Methodology by Dileep Chagam

Compare

Success rate by suite

Higher is better
Appointments59 scenariosMedicare23 scenarios
  • Azure RealtimeMicrosoft
    91%
    67%
  • Gemini 3.8 Live ThinkingGoogle
    79%
    70%
Each model's share of calls that passed every check, on each suite.
Verdict

Which to pick

Azure Realtime is the better pick over Gemini 3.8 Live Extended Thinking on every measure that separates them: reliability across repeated calls (18.3 points higher), calls that pass every check (8.1 points higher), getting the agent's replies right (10.2 points higher), saving the caller's data correctly (1.7 points higher), fewer stalled calls (1.2 points lower), handling interruptions (0.01 higher) and fast replies (0.41s sooner).

Every metric, side by side

Reliability

Scenarios that passed on all three runs.

Azure Realtime
70.7%3rd
Gemini 3.8 Live Thinking
52.4%8th

Azure Realtime, 18.3 points higher

Success rate

Calls that passed every check.

Azure Realtime
84.1%2nd
Gemini 3.8 Live Thinking
76.0%5th

Azure Realtime, 8.1 points higher

Agent responses

Calls where the agent's replies reached the expected outcome.

Azure Realtime
98.8%3rd
Gemini 3.8 Live Thinking
88.6%11th

Azure Realtime, 10.2 points higher

Data accuracy

Calls where everything the agent saved matched exactly.

Azure Realtime
86.1%3rd
Gemini 3.8 Live Thinking
84.4%4th

Azure Realtime, 1.7 points higher

Stalled calls

Calls where the agent went silent for 10 seconds or more.

Azure Realtime
4.1%7th
Gemini 3.8 Live Thinking
5.3%9th

Azure Realtime, 1.2 points lower

Interruption

How well it handled being talked over, 0 to 5.

Azure Realtime
4.966th
Gemini 3.8 Live Thinking
4.958th

Azure Realtime, 0.01 higher

Response time

Median time to start replying after the caller finishes.

Azure Realtime
1.66s3rd
Gemini 3.8 Live Thinking
2.07s7th

Azure Realtime, 0.41s sooner

Cost / min

One minute of call at the vendor's published rates.

Azure Realtime
$0.0804th
Gemini 3.8 Live Thinking
No verified rate

Not comparable

The small figure is the place among ranked models. The cascade is not ranked.

Azure Realtime answers first

Azure Realtime 1.66s, Gemini 3.8 Live Thinking 2.07s at the median.

Response time, median to p90

Lower is betterMedianTo p90
Medianp90
  • Azure RealtimeMicrosoft
    Azure Realtime: median 1.66s, p90 2.22s
    1.66s2.22s
  • Gemini 3.8 Live ThinkingGoogle
    Gemini 3.8 Live Thinking: median 2.07s, p90 2.74s
    2.07s2.74s
2.0s3.0s
Seconds from the caller finishing to the agent starting to reply, per model.

What we saw on the calls

Azure Realtime

  • Handles a caller correcting themselves better than any other model.
All 4 notes on Azure Realtime
Model
azure-realtime
Setting
No reasoning setting
Voice
ava
Turn taking
Service turn detection
Audio
24 kHz
Cost
Each call's metered tokens at Voice Live's Pro rates, read from Azure's price list on 7 Oct 2026. Excludes caller transcription, which Azure bills separately as speech input.

Gemini 3.8 Live Extended Thinking

  • One of the strongest realtime models on Medicare calls.
All 3 notes on Gemini 3.8 Live Thinking
Model
gemini-3.8-live-extended-thinking
Setting
Thinking level high
Voice
Charon
Turn taking
Service turn detection
Audio
16 kHz
Cost
The export carries audio tokens but not text or cached input, so a per-call cost is not derived.

Frequently asked questions

Is Azure Realtime or Gemini 3.8 Live Extended Thinking more reliable?

Azure Realtime is more reliable, by 18.3 points. Azure Realtime passed 58 of 82 scenarios on all three runs, and Gemini 3.8 Live Extended Thinking passed 43. A scenario only counts when every run of it passed.

Which should I pick, Azure Realtime or Gemini 3.8 Live Extended Thinking?

For a phone agent, Azure Realtime, since it gets more scenarios right on every run. Azure Realtime is ahead of Gemini 3.8 Live Extended Thinking on reliability, success rate, agent responses, data accuracy, stalled calls, interruption and response time.

Which saves caller data more accurately, Azure Realtime or Gemini 3.8 Live Extended Thinking?

Azure Realtime, by 1.7 points. Azure Realtime saved everything exactly right on 86.1% of the calls that save data, and Gemini 3.8 Live Extended Thinking on 84.4%. On Appointments, 94.2% against 88.9%. On Medicare, 65.2% against 72.7%. A call counts only when nothing is missing, wrong, extra or saved twice.

Is Azure Realtime faster than Gemini 3.8 Live Extended Thinking?

Yes. Azure Realtime starts replying 0.41s sooner at the median. Azure Realtime takes 1.66s at the median and 2.22s at p90; Gemini 3.8 Live Extended Thinking takes 2.07s and 2.74s. Both are measured on the call audio, from the caller finishing to the agent starting to reply.

Which handles interruptions better, Azure Realtime or Gemini 3.8 Live Extended Thinking?

Azure Realtime, by 0.01 on a 0 to 5 scale. Azure Realtime scores 4.96 and Gemini 3.8 Live Extended Thinking 4.95 for how well the agent handled being talked over.

Which goes silent on callers less often, Azure Realtime or Gemini 3.8 Live Extended Thinking?

Azure Realtime, by 1.2 points. The agent went silent for 10 seconds or more on 4.1% of Azure Realtime calls and 5.3% of Gemini 3.8 Live Extended Thinking calls.

Which is cheaper, Azure Realtime or Gemini 3.8 Live Extended Thinking?

There is no verified per-minute rate for Gemini 3.8 Live Extended Thinking, so cost cannot be compared yet.

Where does the Azure Realtime vs Gemini 3.8 Live Extended Thinking data come from?

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.