Granite 4.2 30B benchmarks, pricing and specs
Granite 4.2 30B is an IBM model released on August 25, 2026 that takes text input and produces text. Its price is not published and accepts up to 128,000 tokens of context. It scores 1340 Elo on Arena Text, #48 of 49 current models (Arena, measured October 8, 2026).
- Context window
- 128K
- Arena Text
- 1340 Elo · #48/49
Data verified October 13, 2026 · Dataset 2026-10-13
Key facts
- Provider
- IBM
- Model family
- Granite 4.2
- Release date
- August 25, 2026
- Status
- Current
- Access
- open weights
- API model id
- Not reported
- Context window
- 128,000 tokens
- Max output
- Not reported
- Input
- text
- Output
- text
- Task families
- text
- Declared capabilities
- reasoning, coding
Granite 4.2 30B pricing
Independent benchmark results
Scores come from independent evaluators that ran the model themselves, pinned to a dated snapshot. Rank is among current models in the same snapshot. IBM's own launch figures are listed under strengths with the publisher named, because they are not measured the same way.
| Benchmark | Score | Rank | Measured | Source |
|---|---|---|---|---|
| Arena Text | 1340 Elo | #48 of 49 | October 8, 2026 | Arena · 2026-10-12 |
Strengths, cautions and best uses
Strengths
- A 30B dense reasoning model under Apache 2.0; IBM reports 57 on SWE-Bench Verified and 89.17 on AIME25
- Thinking, non-thinking and low-effort modes, with reasoning-augmented tool calling
- A native 128K context, extendable to 512K
Cautions
- IBM says it is fine-tuned mainly on English instruction data, so other languages may be weaker
- IBM publishes no per-token API price for Granite 4.2
Best for
- Self-hosted enterprise agents that need a permissive licence
Alternatives to Granite 4.2 30B
The closest current textmodels by price. The cheapest model that scores as well or better is listed first; failing that, the cheapest one within 3% of the benchmark's scale.
GLM-5.3-Flash
- 135 points higher on Arena Text, 1475 vs 1340
- 1M context window vs 128K
- From Z.ai
Claude Fable 5.1
- 161 points higher on Arena Text, 1501 vs 1340
- 1M context window vs 128K
- From Anthropic
GLM-5.3
- 138 points higher on Arena Text, 1478 vs 1340
- 1M context window vs 128K
- From Z.ai
Gemini 3.8 Flash
- 157 points higher on Arena Text, 1497 vs 1340
- 1.05M context window vs 128K
- From Google
Compare Granite 4.2 30B with
Granite 4.2 30B FAQ
What is the context window of Granite 4.2 30B?
Granite 4.2 30B accepts up to 128,000 tokens of context. That ranks #52 of 57 current text models by context length.
How does Granite 4.2 30B score on independent benchmarks?
Granite 4.2 30B scores 1340 Elo on Arena Text, #48 of 49 current models (Arena, measured October 8, 2026). These are independent evaluations, not IBM's own launch figures.
Is Granite 4.2 30B open source or API only?
Granite 4.2 30B is released as open weights that you can run yourself.
What are the best alternatives to Granite 4.2 30B?
The closest current alternatives by price and measured performance are GLM-5.3-Flash (135 points higher on Arena Text, 1475 vs 1340), Claude Fable 5.1 (161 points higher on Arena Text, 1501 vs 1340), GLM-5.3 (138 points higher on Arena Text, 1478 vs 1340) and Gemini 3.8 Flash (157 points higher on Arena Text, 1497 vs 1340).
Sources
- Granite 4.2 30B model card · IBM · official · verified October 13, 2026
- Granite 4.2 documentation · IBM · official · verified October 13, 2026
- Arena leaderboard dataset (lmarena-ai/leaderboard-dataset) · Arena · independent · verified October 12, 2026 · CC-BY-4.0
Cite this page
Van Data Team. "Granite 4.2 30B Benchmarks, Pricing and Specs." AI Model Benchmark Dataset 2026-10-13. https://vandatateam.com/ai-model-benchmarks/granite-4-2-30b
Reuse the data: JSON · CSV · or explore every model in the AI model benchmark comparison.
Production evaluation
Deciding whether Granite 4.2 30B fits your workload?
Public benchmarks narrow the shortlist. We test the finalists on your own tasks, data and cost limits, then build the routing and review controls to run the winner in production.
- Evaluation cases and acceptance thresholds tied to real work
- Model routing, fallbacks and cost controls
