IBM
RankedEnough results for an index.Granite 4.2 3B
Granite 4.2 3B is a reasoning model from IBM in the Granite 4.2 family. 14 benchmarks count toward its index, in 6 categories.
IndexAll categories, out of 100.33.2±5.8Median 51.0
CoverageIndex weight that has results.85%
SpeedOutput tokens per second.—Median 67/s
First tokenSeconds to the first output token.—Median 1.3 s
Input / 1MUS dollars per 1M input tokens.—Median $0.60
Output / 1MUS dollars per 1M output tokens.—Median $2.55
ContextMaximum tokens in one request.128KMedian 262K
EloLMArena rating and rank.1293±12 #258Median 1422
Run locally
3.66B parameters- 16-bit
- 8.7 GB
- 8-bit
- 5.1 GB
- 4-bit
- 3.3 GB
Memory need with a short context. The 4-bit copy fits in 8 GB. Compare local models
Capabilities
Index per category, out of 100.Results
14 countedBenchmarkThe benchmark name.ResultThe score from the source.PlacePlace among results on this benchmark.
Sources
BenchLMCC BY-NC 4.0History
5 releases23 Oct 202612 Nov 2026
Questions
- How good is Granite 4.2 3B?
- Its index is 33.2 out of 100. That is place 243 of 283 ranked models.
- What is Granite 4.2 3B best at?
- Math: 34.3 out of 100, place 137 of 168.
- What is the context window of Granite 4.2 3B?
- 128K tokens.
- Is Granite 4.2 3B open source?
- Yes. Its weights are published.
- When was Granite 4.2 3B released?
- August 2026.
Badge
- HTML
<a href="https://inference360.ai/models/granite-4-2-3b"><img src="https://inference360.ai/badges/granite-4-2-3b.svg" alt="Granite 4.2 3B on Inference360: place 243 of 283, index 33.2" height="20"></a>- Markdown
[](https://inference360.ai/models/granite-4-2-3b)