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ibm-granitemodel

granite-4.0-h-micro

Granite 4.0 instruct models deliver strong performance across benchmarks, achieving industry-leading results in key agentic tasks like instruction following and function calling. These efficiencies make the models well-suited for a wide range of use cases like retrieval-augmented generation (RAG), multi-agent workflows, and edge deployments.

Best for

Autonomous AgentsTool UseFunction CallingInstruction Following
Context Window
131K tokens ≈ 291 pages of text
Input Cost
$0.02/1M
Output Cost
$0.11/1M
Latency p50

Pricing Details

Standard Pricing
Input (per 1M tokens)
$0.02
Output (per 1M tokens)
$0.11

Price history

4/23/2026$0.02 in / $0.11 out

Hallucination Score™ (est.)

Community reliability estimate · not official

Not yet rated

About this score: Community-estimated based on user reports and publicly available benchmark data (e.g. TruthfulQA). This is not an official score from the model provider. Scores may be inaccurate — always verify with the official leaderboard before making production decisions.

Price HistoryPro

Input & output cost per 1M tokens over time

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Provider

ibm-granite

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