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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
Price as of 2026-05-11 · Source: ibm_granite_reference_catalog
General-purpose text generation, chat, summarization and content workloads where broad capability and low cost matter most.
Granite-4.0-H-Micro is a 3B parameter from the Granite 4 family of models. These models are the latest in a series of models released by IBM. They are fine-tuned for long...
granite-4.0-h-micro is a Text model from Ibm Granite (US). HotON.ai tracks it at $0.02 per 1M input tokens and $0.11 per 1M output tokens, with a 131K-token context window. Its composite efficiency score is 89/100 at an estimated $0.000 per successful task.
granite-4.0-h-micro is tracked at $0.02 per 1M input tokens and $0.11 per 1M output tokens. A typical 3:1 output-to-input workload blends to roughly $0.09 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.
granite-4.0-h-micro supports up to a 131K-token context window — large enough for long documents and extended conversations in a single request.
Within the HotON.ai tracked set, granite-4.0-h-micro is cheaper than 97% of models on input price and ranks #228 of 535 by overall efficiency.
Yes — morph-rerank-v3 is a lower-cost option at $0.00 per 1M output tokens, while still covering similar Text use cases. Compare them side by side on HotON.ai.
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HotON.ai — granite-4.0-h-micro (Ibm Granite): $0.02/1M input, $0.11/1M output, as of 2026-05-11. https://hoton.ai/en/models/ibm-granite-granite-4-0-h-microPricing 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.