IBM: Granite 4.2 8B
Analysis Summary
Granite 4.2 8B is IBM's compact Granite model, positioned for economical text workflows rather than frontier reasoning. It offers a 131K context window, tool use, and function calling, giving it a useful foundation for structured API tasks and document handling. Its text-only modality keeps deployment simple, while the small model footprint can support cost-sensitive workloads.
For an agency, it fits classification, metadata generation, templated SEO production, extraction, and straightforward internal assistants. The measured reasoning, coding, and agentic capability is limited, so it should not lead complex research, autonomous workflows, or client-facing work requiring nuanced judgement. Its low token pricing is the main advantage. Adopt it for high-volume, well-scoped automation where predictable prompts and human review are already part of the process.
Assessed September 1, 2026
Editorial notes
Granite 4.2 8B is an inexpensive, compact model with function calling, tool use, and a 131K context window. Its measured reasoning and coding capability suit routine automation, but not demanding client analysis or software engineering.
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DFO Verdict
Granite 4.2 8B is an inexpensive, compact model with function calling, tool use, and a 131K context window. Its measured reasoning and coding capability suit routine automation, but not demanding client analysis or software engineering.
How IBM: Granite 4.2 8B compares
IBM: Granite 4.2 8B ranks #186 of 433 AI models we track for overall intelligence, #137 of 206 for coding, #123 of 188 for agentic tasks. Its 131K-token context window is larger than 49% of the models we list. At $0.10 per million input tokens it is cheaper than 70% 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 | $0.10 | $0.000100 |
| Output | $0.15 | $0.000150 |
What would IBM: Granite 4.2 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 4.2 8B for the hard ones. Most clients cut their estimate by 60-80%.
Talk to our teamAbout IBM: Granite 4.2 8B
Granite 4.2 8B is a dense reasoning model from IBM. It is suited for mathematics, code generation, multilingual dialogue, and agentic workflows that need multi-step reasoning. It supports full, low-effort,..
Frequently asked questions about IBM: Granite 4.2 8B
How much does IBM: Granite 4.2 8B cost?
IBM: Granite 4.2 8B costs $0.10 per million input tokens and $0.15 per million output tokens.
What is the context window of IBM: Granite 4.2 8B?
IBM: Granite 4.2 8B has a context window of 131,072 tokens (131K).
Is IBM: Granite 4.2 8B good for coding?
On our coding benchmark index, IBM: Granite 4.2 8B ranks #137 of 206 models, placing it in the broader range of the field for code generation and debugging.
What can IBM: Granite 4.2 8B do?
IBM: Granite 4.2 8B supports tool use and function calling.
Who created IBM: Granite 4.2 8B?
IBM: Granite 4.2 8B is developed by IBM and was released on August 31, 2026.