Capabilities
7-day heat trend
−8.3%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 44% of tracked models
- Efficiency rank: #828 of 1105
Best suited for
Mixed text, image, audio and document workloads that benefit from one model across modalities.
About cohere-transcribe-03-2026
Cohere Transcribe 03-2026 is an audio-to-text model for transcription workflows.
cohere-transcribe-03-2026 is a Multimodal model from Cohere (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, ~145 tokens/sec throughput and 98.9% availability. Its composite efficiency score is 88/100 at an estimated $0.000 per successful task.
Compare cohere-transcribe-03-2026
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Frequently asked questions
How much does cohere-transcribe-03-2026 cost per 1M tokens?+
cohere-transcribe-03-2026 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 cohere-transcribe-03-2026 best for?+
Mixed text, image, audio and document workloads that benefit from one model across modalities.
How fast is cohere-transcribe-03-2026?+
cohere-transcribe-03-2026 delivers about 145 tokens/sec with 98.9% tracked availability, suitable for latency-sensitive, real-time applications.
Is cohere-transcribe-03-2026 cheaper than other AI models?+
Within the HotON.ai tracked set, cohere-transcribe-03-2026 is cheaper than 43% of models on input price and ranks #828 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.