Analysis Summary
Granite 4.0 H Small is an IBM model priced at $0.06 per million input tokens and $0.25 per million output tokens. The supplied measurements cover reasoning, mathematics, coding, instruction following, long-context performance, terminal use, and tool-oriented evaluation. Its low price is the clearest advantage, while the capability results remain limited, especially for complex reasoning and reliable execution.
The model could support high-volume extraction, categorisation, short metadata drafts, and other routine operations where outputs are checked automatically. It is not a suitable lead model for client strategy, complex content, software engineering, or autonomous agents. The low long-context result also argues against using it for large documents or codebases. Consider Granite H Small as a budget utility tier only when cost is the primary constraint and task scope can be kept narrow.
Assessed August 9, 2026
Editorial notes
Granite 4.0 H Small offers low-cost inference with modest coding and instruction-following results. Its limited reasoning, long-context, and agentic measurements restrict it to simple, supervised automation.
Rankings consider pricing, capabilities, benchmarks, and real-world applicability and are refreshed as new models launch. Feedback?
DFO Verdict
Granite 4.0 H Small offers low-cost inference with modest coding and instruction-following results. Its limited reasoning, long-context, and agentic measurements restrict it to simple, supervised automation.
Benchmark scores
Magenta = intelligence · Ink = technical/agentic · Cyan = content & long-context · Grey = community benchmarks. Data: Artificial Analysis, Hugging Face.
4.9 Intelligence Index·13.7 Math Index
How Granite 4.0 H Small compares
Granite 4.0 H Small ranks #356 of 427 AI models we track for overall intelligence. At $0.06 per million input tokens it is cheaper than 74% of comparable models.
Dark bar = input · light bar = output, scaled to the priciest peer.
1M tokens ≈ 8 full-length novels or ~2,500 pages of business documents in a single request.
Strongest on value. The pulled-in technical corner is the trade-off, and if the shape matters more than the price, this is your model.
Compare shapes side-by-side →Pricing
| Token Type | Cost per 1M tokens | Cost per 1K tokens |
|---|---|---|
| Input | $0.06 | $0.000060 |
| Output | $0.25 | $0.000250 |
What would Granite 4.0 H Small cost your business?
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A website chatbot handling around 100 customer conversations a day, a few short messages each.
Full calculator with 714 models → Price Calculator
These numbers get smaller with the right architecture.
We route routine calls to cheap models and save Granite 4.0 H Small for the hard ones. Most clients cut their estimate by 60-80%.
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Frequently asked questions about Granite 4.0 H Small
How much does Granite 4.0 H Small cost?
Granite 4.0 H Small costs $0.06 per million input tokens and $0.25 per million output tokens.
Who created Granite 4.0 H Small?
Granite 4.0 H Small is developed by IBM and was released on September 22, 2025.
Data sourced from the OpenRouter API, Artificial Analysis, the Hugging Face Open LLM Leaderboard and our own internal testing. Scores are editorially curated by our team.
Last updated: August 22, 2026 8:38 pm