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Daily blended price ($/1M) — recorded each day, builds into a trend over time.
Typical 3:1 output-to-input mix, per 1M tokens
Source: litellm
General-purpose text generation, chat, summarization and content workloads where broad capability and low cost matter most.
Deep Cogito v1 Preview Qwen 32B is a reasoning-oriented Qwen model card for supplier catalog prefill.
cogito-v1-preview-qwen-32B is a Text model from Deep Cogito (US). HotON.ai tracks it at $0.90 per 1M input tokens and $0.90 per 1M output tokens, with a 33K-token context window. Its composite efficiency score is 88/100 at an estimated $0.002 per successful task.
cogito-v1-preview-qwen-32B is tracked at $0.90 per 1M input tokens and $0.90 per 1M output tokens. A typical 3:1 output-to-input workload blends to roughly $0.90 per 1M tokens. Figures are illustrative demo data.
General-purpose text generation, chat, summarization and content workloads where broad capability and low cost matter most.
cogito-v1-preview-qwen-32B supports up to a 33K-token context window — large enough for long documents and extended conversations in a single request.
Within the HotON.ai tracked set, cogito-v1-preview-qwen-32B is cheaper than 32% of models on input price and ranks #329 of 535 by overall efficiency.
Yes — minimax-m2.7 is a lower-cost option at $1.20 per 1M output tokens, while still covering similar Text use cases. Compare them side by side on HotON.ai.
Ready to paste into articles, papers or AI prompts — prices and date refresh with the live data.
HotON.ai — cogito-v1-preview-qwen-32B (Deep Cogito): $0.90/1M input, $0.90/1M output. https://hoton.ai/en/models/deepcogito-cogito-v1-preview-qwen-32bPricing is real (via the TestKey catalog, updated daily). Quality (Arena Elo) is real where the model is ranked on LMArena. Efficiency is a modeled composite of real price and context.