Capabilities
7-day heat trend
+6.4%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 53% of tracked models
- Efficiency rank: #938 of 1105
Best suited for
Mixed text, image, audio and document workloads that benefit from one model across modalities.
About whisper-large-v3
Groq-hosted Whisper Large v3 speech-to-text model for high-accuracy multilingual transcription.
whisper-large-v3 is a Multimodal model from Groq (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, ~149 tokens/sec throughput and 99.8% availability. Its composite efficiency score is 88/100 at an estimated $0.000 per successful task.
Compare whisper-large-v3
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Frequently asked questions
How much does whisper-large-v3 cost per 1M tokens?+
whisper-large-v3 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 whisper-large-v3 best for?+
Mixed text, image, audio and document workloads that benefit from one model across modalities.
How fast is whisper-large-v3?+
whisper-large-v3 delivers about 149 tokens/sec with 99.8% tracked availability, suitable for latency-sensitive, real-time applications.
Is whisper-large-v3 cheaper than other AI models?+
Within the HotON.ai tracked set, whisper-large-v3 is cheaper than 43% of models on input price and ranks #938 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.