Granite 4.0 H Small 2026: Benchmarks, Pricing & Full Specs

Specifications

Context Window

—

Input Price/1M

$0.06

#223 of 806

Output Price/1M

$0.25

Parameters

—

Speed

14 tok/s

#412 of 651

Latency (TTFT)

35.5s

Cost per Task

55.8

AA Score / US$ · higher = better

Benchmarks

Granite 4.0 H Small results on the main AI model evaluation benchmarks. Higher scores indicate better performance.

Agentic

Benchmark	Score	Maximum	Methodology
Terminal-Bench Hard	2.0	100.0	—

Coding

Benchmark	Score	Maximum	Methodology
LiveCodeBench	25.0	100.0	Artificial Analysis official API
SciCode	21.0	100.0	—

Knowledge

Benchmark	Score	Maximum	Methodology
MMLU-Pro	62.0	100.0	—

Long Context

Benchmark	Score	Maximum	Methodology
AA-LCR	9.0	100.0	—

Math

Benchmark	Score	Maximum	Methodology
AIME 2025	14.0	100.0	Artificial Analysis official API

overall

Benchmark	Score	Maximum	Methodology
AA Intelligence Index	6.0	100.0	Artificial Analysis official API

Reasoning

Benchmark	Score	Maximum	Methodology
MMLU Pro	62.4	100.0	Artificial Analysis official API
GPQA Diamond	42.0	100.0	Artificial Analysis official API
IFBench	31.0	100.0	—
HLE	4.0	100.0	—

Tool Use

Benchmark	Score	Maximum	Methodology
Tau²-Bench	17.0	100.0	—

Information

Release date: September 22, 2025
Tool Calling: ❌ Not supported
Vision: ❌ Not supported
Audio: ❌ Not supported

Full Analysis: Granite 4.0 H Small

What is Granite 4.0 H Small?

Granite 4.0 H Small is an AI model developed by IBM, classified as a text model. It focuses on text processing and natural language generation. As a proprietary model, it is available via IBM's cloud API.

Pricing & Costs in 2026

Granite 4.0 H Small is usage-based, priced at $0.06/1M input tokens and $0.25/1M output tokens. For context: 1 million tokens is approximately 750,000 words, or about 10 average-length books. At this aggressive price point, it is one of the most cost-effective options on the market, ideal for high-volume applications like chatbots, bulk document analysis, and automation.

Benchmarks & Performance

Granite 4.0 H Small was evaluated on 12 different benchmarks, covering categories like Agentic, Coding, Knowledge, Long Context, Math, overall, Reasoning, Tool Use. Results show moderate performance across available evaluations.

It's important to note that benchmarks measure specific aspects and don't capture the full user experience. Factors like instruction adherence, behavior in long conversations, and real-world task quality vary significantly between models and aren't always reflected in standard scores.

Recommended Use Cases

Granite 4.0 H Small specializes in text, offering advanced capabilities for creating and processing text content.

Comparison with Alternatives

In the 2026 AI model ecosystem, Granite 4.0 H Small competes directly with similarly capable models. IBM competes in this segment against OpenAI, Anthropic, Google, and Meta. The choice between models depends on the specific use case, budget, latency requirements, and need for features like multimodality and tool calling.

For a detailed side-by-side comparison, use our comparison tool or check the overall model ranking.

Frequently Asked Questions

What is Granite 4.0 H Small?

Granite 4.0 H Small is an AI model developed by IBM. It is a text model.

How much does Granite 4.0 H Small cost?

Granite 4.0 H Small costs $0.06/1M input tokens and $0.25/1M output tokens. For heavy usage (e.g., a chatbot handling 100k messages/month), costs can range from $10 to $1,000 depending on volume.

How does Granite 4.0 H Small compare with other models?

In available benchmarks, Granite 4.0 H Small scored: Terminal-Bench Hard: 2/100, LiveCodeBench: 25/100, SciCode: 21/100. See the full table above for a detailed comparison.

Is Granite 4.0 H Small open source?

No, Granite 4.0 H Small is a proprietary model from IBM. It is available via cloud API. For open source alternatives, check our open source model ranking.

What is Granite 4.0 H Small best for?

Granite 4.0 H Small excels at general-purpose language tasks.