IBM: Granite 4.0 Micro
Analysis Summary
IBM's Granite 4.0 Micro is a text model with a 131,000-token context window and very low listed input and output prices. Its intelligence index is 5.1, and the supplied data contains no coding or agentic benchmarks, tool-use details, or multimodal capabilities. The evidence therefore supports viewing it as a low-cost option, not as a model with established reasoning or content quality.
It may merit testing for simple, high-volume text tasks where latency, reliability, and accuracy can be measured and errors are low impact. The long context window may help with large prompts, but it does not establish effective long-document analysis. Businesses should benchmark it against their own routine requests and compare the savings with review costs. Without those results, it is not a recommended choice for client-facing or complex workflows.
Assessed September 23, 2026
Editorial notes
Granite 4.0 Micro has a 131K context window and very low listed pricing, but its measured intelligence index is limited and no tool-use or modality capabilities are provided.
The DFO score ranks models on the Artificial Analysis Intelligence Index and is refreshed as new models launch. The write-up and verdict are our own. Feedback?
DFO Verdict
Granite 4.0 Micro has a 131K context window and very low listed pricing, but its measured intelligence index is limited and no tool-use or modality capabilities are provided.
Benchmarks
Artificial Analysis data refreshed Oct 8, 2026. Arena ratings from the Oct 2, 2026 text leaderboard, with style control.
Artificial Analysis has not published coding or agentic results for IBM: Granite 4.0 Micro yet. Until it does, the model sits below tested models on the Coding and AI Agents lists.
How IBM: Granite 4.0 Micro compares
IBM: Granite 4.0 Micro ranks #394 of 435 AI models we track for overall intelligence. Its 131K-token context window is larger than 38% of the models we list. At $0.02 per million input tokens it is cheaper than 77% 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.
Pricing
| Token Type | Cost per 1M tokens | Cost per 1K tokens |
|---|---|---|
| Input | $0.02 | $0.000017 |
| Output | $0.11 | $0.000112 |
What would IBM: Granite 4.0 Micro cost your business?
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A website chatbot handling around 100 customer conversations a day, a few short messages each.
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Talk to our teamAbout IBM: Granite 4.0 Micro
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..
Frequently asked questions about IBM: Granite 4.0 Micro
How much does IBM: Granite 4.0 Micro cost?
IBM: Granite 4.0 Micro costs $0.02 per million input tokens and $0.11 per million output tokens.
What is the context window of IBM: Granite 4.0 Micro?
IBM: Granite 4.0 Micro has a context window of 131,000 tokens (131K).
Who created IBM: Granite 4.0 Micro?
IBM: Granite 4.0 Micro is developed by IBM and was released on October 20, 2025.