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BenchLM
Data
Official provider results

Flux Multilingual launch evaluation

Deepgram’s April 29, 2026 press release reports end-of-turn latency and language coverage for Flux Multilingual.

Source snapshots refreshed
Five measurement lanesVOICE / S2S

Reasoning, task completion, conversation dynamics, experience, and latency stay separate.

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Benchmark profile

Scope
End-of-turn decision latency and supported languages
Primary metric
End-of-turn latency (lower is better)
Owner
Deepgram
Available evidence
Latency and coverage published; accuracy stated as monolingual-grade without a WER value

What it measures

Conversation dynamics
Can it handle turns, interruptions, ambiguity, and state?
Latency
How long do responses, tool calls, and full tasks take?

Available results

End-of-turn decisions
Under 400 ms
Provider-reported

Model-based turn detection.

Languages
10
Documented

Automatic detection and mid-conversation switching.

Price
$0.0078 per minute
Documented

Streaming pay-as-you-go rate.

Interpretation limit

Provider-reported launch figures; no WER table is published.