All comparisons
GoogleCascade baseline

Gemini 3.8 Live Extended Thinking vs Flux → GPT-4.1 → ElevenLabs Flash

Flux → GPT-4.1 → ElevenLabs Flash is ahead on reliability, success rate, agent responses, data accuracy, stalled calls and interruption, and Gemini 3.8 Live Extended Thinking on response time.

Last updated Methodology by Dileep Chagam

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Success rate by suite

Higher is better
Appointments59 scenariosMedicare23 scenarios
  • Gemini 3.8 Live ThinkingGoogle
    79%
    70%
  • Cascade, GPT-4.1Not ranked
    97%
    83%
Each model's share of calls that passed every check, on each suite.
Verdict

Which to pick

Pick Gemini 3.8 Live Extended Thinking for fast replies (0.10s sooner). Pick Flux → GPT-4.1 → ElevenLabs Flash for reliability across repeated calls (30.5 points higher), calls that pass every check (17.1 points higher), getting the agent's replies right (10.6 points higher), saving the caller's data correctly (9.7 points higher), fewer stalled calls (4.5 points lower) and handling interruptions (0.01 higher).

Every metric, side by side

Reliability

Scenarios that passed on all three runs.

Gemini 3.8 Live Thinking
52.4%8th
Cascade, GPT-4.1
82.9%

Cascade, GPT-4.1, 30.5 points higher

Success rate

Calls that passed every check.

Gemini 3.8 Live Thinking
76.0%5th
Cascade, GPT-4.1
93.1%

Cascade, GPT-4.1, 17.1 points higher

Agent responses

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

Gemini 3.8 Live Thinking
88.6%11th
Cascade, GPT-4.1
99.2%

Cascade, GPT-4.1, 10.6 points higher

Data accuracy

Calls where everything the agent saved matched exactly.

Gemini 3.8 Live Thinking
84.4%4th
Cascade, GPT-4.1
94.1%

Cascade, GPT-4.1, 9.7 points higher

Stalled calls

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

Gemini 3.8 Live Thinking
5.3%9th
Cascade, GPT-4.1
0.8%

Cascade, GPT-4.1, 4.5 points lower

Interruption

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

Gemini 3.8 Live Thinking
4.958th
Cascade, GPT-4.1
4.96

Cascade, GPT-4.1, 0.01 higher

Response time

Median time to start replying after the caller finishes.

Gemini 3.8 Live Thinking
2.07s7th
Cascade, GPT-4.1
2.17s

Gemini 3.8 Live Thinking, 0.10s sooner

Cost / min

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

Gemini 3.8 Live Thinking
No verified rate
Cascade, GPT-4.1
No verified rate

Not comparable

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

Gemini 3.8 Live Thinking answers first

Gemini 3.8 Live Thinking 2.07s, Cascade, GPT-4.1 2.17s at the median.

Response time, median to p90

Lower is betterMedianTo p90
Medianp90
  • Gemini 3.8 Live ThinkingGoogle
    Gemini 3.8 Live Thinking: median 2.07s, p90 2.74s
    2.07s2.74s
  • Cascade, GPT-4.1Not ranked
    Cascade, GPT-4.1: median 2.17s, p90 2.51s
    2.17s2.51s
2.0s3.0s
Seconds from the caller finishing to the agent starting to reply, per model.

What we saw on the calls

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.

Flux → GPT-4.1 → ElevenLabs Flash

  • Most scenarios pass every run, and none fails every run.
All 4 notes on Cascade, GPT-4.1
Model
flux-general-en → gpt-4.1 → eleven_flash_v2_5
Setting
No reasoning setting
Voice
ElevenLabs 21m00Tcm4TlvDq8ikWAM
Turn taking
Speech-to-text turn detection
Audio
16 kHz
Cost
Not published: no verified combined rate for the three services.

Frequently asked questions

Is Gemini 3.8 Live Extended Thinking or Flux → GPT-4.1 → ElevenLabs Flash more reliable?

Flux → GPT-4.1 → ElevenLabs Flash is more reliable, by 30.5 points. Gemini 3.8 Live Extended Thinking passed 43 of 82 scenarios on all three runs, and Flux → GPT-4.1 → ElevenLabs Flash passed 68. A scenario only counts when every run of it passed.

Is Gemini 3.8 Live Extended Thinking better than a cascaded STT, LLM and TTS pipeline?

On reliability, no: the Flux → GPT-4.1 → ElevenLabs Flash cascade passes more scenarios on every run. Flux → GPT-4.1 → ElevenLabs Flash is ahead on reliability, success rate, agent responses, data accuracy, stalled calls and interruption, and Gemini 3.8 Live Extended Thinking on response time. Both ran as the same agent, with the same prompt and tools.

Which saves caller data more accurately, Gemini 3.8 Live Extended Thinking or Flux → GPT-4.1 → ElevenLabs Flash?

Flux → GPT-4.1 → ElevenLabs Flash, by 9.7 points. Gemini 3.8 Live Extended Thinking saved everything exactly right on 84.4% of the calls that save data, and Flux → GPT-4.1 → ElevenLabs Flash on 94.1%. On Appointments, 88.9% against 98.8%. On Medicare, 72.7% against 81.8%. A call counts only when nothing is missing, wrong, extra or saved twice.

Is Gemini 3.8 Live Extended Thinking faster than Flux → GPT-4.1 → ElevenLabs Flash?

Yes. Gemini 3.8 Live Extended Thinking starts replying 0.10s sooner at the median. Gemini 3.8 Live Extended Thinking takes 2.07s at the median and 2.74s at p90; Flux → GPT-4.1 → ElevenLabs Flash takes 2.17s and 2.51s. Both are measured on the call audio, from the caller finishing to the agent starting to reply.

Which handles interruptions better, Gemini 3.8 Live Extended Thinking or Flux → GPT-4.1 → ElevenLabs Flash?

Flux → GPT-4.1 → ElevenLabs Flash, by 0.01 on a 0 to 5 scale. Gemini 3.8 Live Extended Thinking scores 4.95 and Flux → GPT-4.1 → ElevenLabs Flash 4.96 for how well the agent handled being talked over.

Which goes silent on callers less often, Gemini 3.8 Live Extended Thinking or Flux → GPT-4.1 → ElevenLabs Flash?

Flux → GPT-4.1 → ElevenLabs Flash, by 4.5 points. The agent went silent for 10 seconds or more on 5.3% of Gemini 3.8 Live Extended Thinking calls and 0.8% of Flux → GPT-4.1 → ElevenLabs Flash calls.

Which is cheaper, Gemini 3.8 Live Extended Thinking or Flux → GPT-4.1 → ElevenLabs Flash?

There is no verified per-minute rate for Gemini 3.8 Live Extended Thinking and Flux → GPT-4.1 → ElevenLabs Flash, so cost cannot be compared yet.

Where does the Gemini 3.8 Live Extended Thinking vs Flux → GPT-4.1 → ElevenLabs Flash 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. The cascade runs the same agent for reference and is never ranked.