Capabilities
7-day heat trend
−14.7%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 15% of tracked models
- Efficiency rank: #962 of 1105
Best suited for
Mixed text, image, audio and document workloads that benefit from one model across modalities.
About describe-v2
Ideogram Describe V2 is retained for image description requests that explicitly select the V2 describe model.
describe-v2 is a Multimodal model from Ideogram (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, ~128 tokens/sec throughput and 96.6% availability. Its composite efficiency score is 88/100 at an estimated $0.000 per successful task.
Compare describe-v2
Related market news
Frequently asked questions
How much does describe-v2 cost per 1M tokens?+
describe-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 describe-v2 best for?+
Mixed text, image, audio and document workloads that benefit from one model across modalities.
How fast is describe-v2?+
describe-v2 delivers about 128 tokens/sec with 96.6% tracked availability, suitable for latency-sensitive, real-time applications.
Is describe-v2 cheaper than other AI models?+
Within the HotON.ai tracked set, describe-v2 is cheaper than 43% of models on input price and ranks #962 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.