Capabilities
7-day heat trend
−8.8%Pricing breakdown
Typical 3:1 output-to-input mix, per 1M tokens
Estimated monthly cost by workload
Market position
- Cheaper than 43% of tracked models
- Faster than 46% of tracked models
- Efficiency rank: #884 of 1105
Best suited for
Mixed text, image, audio and document workloads that benefit from one model across modalities.
About scribe_v2
Scribe v2 is ElevenLabs' current speech-to-text model with keyterm prompting, entity detection, diarization, and dynamic audio tagging.
scribe_v2 is a Multimodal model from ElevenLabs (US). HotON.ai tracks it at $0.00 per 1M input tokens and $0.00 per 1M output tokens, with a 1K-token context window, ~146 tokens/sec throughput and 98.2% availability. Its composite efficiency score is 88/100 at an estimated $0.000 per successful task.
Compare scribe_v2
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Frequently asked questions
How much does scribe_v2 cost per 1M tokens?+
scribe_v2 is tracked at $0.00 per 1M input tokens and $0.00 per 1M output tokens. A typical 3:1 output-to-input workload blends to roughly $0.00 per 1M tokens. Figures are illustrative demo data.
What is scribe_v2 best for?+
Mixed text, image, audio and document workloads that benefit from one model across modalities.
How fast is scribe_v2?+
scribe_v2 delivers about 146 tokens/sec with 98.2% tracked availability, suitable for latency-sensitive, real-time applications.
Is scribe_v2 cheaper than other AI models?+
Within the HotON.ai tracked set, scribe_v2 is cheaper than 43% of models on input price and ranks #884 of 1105 by overall efficiency.
Related models
Pricing is real (via the TestKey catalog, updated daily). Quality (Arena Elo) is real where the model is ranked on LMArena. Speed, availability and efficiency are modeled estimates.