Capabilities
7-day heat trend
−17.2%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 58% of tracked models
- Efficiency rank: #978 of 1105
Best suited for
General-purpose text generation, chat, summarization and content workloads where broad capability and low cost matter most.
About fill-v1
Resemble Fill is the audio inpainting model version listed for repairing or replacing regions of existing recordings.
fill-v1 is a Text model from Resemble AI (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, ~152 tokens/sec throughput and 97.2% availability. Its composite efficiency score is 88/100 at an estimated $0.000 per successful task.
Compare fill-v1
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Frequently asked questions
How much does fill-v1 cost per 1M tokens?+
fill-v1 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 fill-v1 best for?+
General-purpose text generation, chat, summarization and content workloads where broad capability and low cost matter most.
How fast is fill-v1?+
fill-v1 delivers about 152 tokens/sec with 97.2% tracked availability, suitable for latency-sensitive, real-time applications.
Is fill-v1 cheaper than other AI models?+
Within the HotON.ai tracked set, fill-v1 is cheaper than 43% of models on input price and ranks #978 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.