Analysis Summary
Granite 4.1 8B is a small, inexpensive model from IBM that supports tool use and function calling, giving it some structural flexibility for automation tasks despite modest underlying reasoning and coding scores.
It is best suited to simple, high-volume tasks like routing, classification or basic tool-triggered workflows rather than complex coding or analytical work, where its limited benchmark performance would show.
The low price makes it viable for cost-sensitive automation at scale, provided expectations for output quality are calibrated accordingly.
Assessed July 29, 2026
Editorial notes
IBM's Granite 4.1 8B adds tool use and function calling at a very low price point, but reasoning and coding scores remain limited.
Rankings consider pricing, capabilities, benchmarks, and real-world applicability and are refreshed as new models launch. Feedback?
DFO Verdict
IBM's Granite 4.1 8B adds tool use and function calling at a very low price point, but reasoning and coding scores remain limited.
Benchmark scores
Magenta = intelligence · Ink = technical/agentic · Cyan = content & long-context · Grey = community benchmarks. Data: Artificial Analysis, Hugging Face.
6.7 Intelligence Index·9.5 Coding Index
How IBM: Granite 4.1 8B compares
IBM: Granite 4.1 8B ranks #307 of 398 AI models we track for overall intelligence, #152 of 173 for coding. Its 131K-token context window is larger than 53% of the models we list. At $0.05 per million input tokens it is cheaper than 75% 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 intelligence 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 | $0.05 | $0.000050 |
| Output | $0.10 | $0.000100 |
What would IBM: Granite 4.1 8B 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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These numbers get smaller with the right architecture.
We route routine calls to cheap models and save IBM: Granite 4.1 8B for the hard ones. Most clients cut their estimate by 60-80%.
Talk to our teamAbout IBM: Granite 4.1 8B
Granite 4.1 8B is a dense, decoder-only 8-billion-parameter language model from IBM, part of the Granite 4.1 family. It supports a 131K-token context window and is designed for enterprise tasks..
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Frequently asked questions about IBM: Granite 4.1 8B
How much does IBM: Granite 4.1 8B cost?
IBM: Granite 4.1 8B costs $0.05 per million input tokens and $0.10 per million output tokens.
What is the context window of IBM: Granite 4.1 8B?
IBM: Granite 4.1 8B has a context window of 131,072 tokens (131K).
Is IBM: Granite 4.1 8B good for coding?
On our coding benchmark index, IBM: Granite 4.1 8B ranks #152 of 173 models, placing it in the broader range of the field for code generation and debugging.
What can IBM: Granite 4.1 8B do?
IBM: Granite 4.1 8B supports tool use and function calling.
Who created IBM: Granite 4.1 8B?
IBM: Granite 4.1 8B is developed by IBM and was released on April 30, 2026.
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 5, 2026 8:38 pm