Granite 4.2 8B
API request failed. The model was not evaluated.
IBMLanguage modelOpen weights
Granite 4.2 8B has no overall index value yet because there are too few independent benchmark results.
n/aOverall indexhigher is better
64Tokens per secondhigher is better
n/aper 1M tokenslower is better
n/atokens at once
53out of 100same as last month
At 64 tokens per second it writes slower than a typical model (87).
For Granite 4.2 8B, IBM adds agent tasks in real coding, terminal, and search environments to foundational training. This block distinguishes 8B from Granite 4.2 3B. It trains multi-step tool use against the task’s actual outcome.
The dense 8-billion-parameter checkpoint sits between 3B and 30B. Its weights use Apache 2.0.
On this page
One SVG task with the same fixed settings for every model, without hidden thinking.
API request failed. The model was not evaluated.
Output withheld for safety
Prompt
Generate an SVG of a pelican riding a bicycle
Oct 5, 2026 · 19 s · $0.0003
Not yet visually reviewed. A successful recording does not confirm correct physics or full compliance with the prompt.
Every published result with its source, test setup and comparison models.
Page 1 of 7
These measurements have no matching peer values under the same test conditions. Their original values and sources remain available here.
Page 1 of 7
How often the model is searched for, used and mentioned, compared with every model of its category.
The 100 most popular models of this category, 0 to 100, higher is more popular
20 of 100 models
As of November 2026 · Source: gradually.ai popularity index
Weekly values from October 18, 2026 to November 5, 2026
Granite 4.2 8BMagistral SmallGPT-6 LunaNemotron 3 UltraNemotron 3.5 Super VL 120B A12B
AI watermarking refers to invisible signals embedded in the output. Visible marks and provenance metadata are listed separately. Unknown means there is insufficient evidence for that particular field.
Not included in any subscription in Germany.
64 tokens per second. That is slower than a typical model at 87.
Measured by Artificial Analysis on Nov 6, 2026. AA 3.0.0, including time to first token, averaged across available workloads and five days.
Yes, the weights are open.
Stated by IBM
Which independent evaluators tested this model. This is coverage, not a quality ranking.
| Evaluator | Test series | Composite indices | Recorded active measurements |
|---|---|---|---|
| Artificial Analysis | 10 | 1 | 13 |
Without vendor claims and historical or disputed results; those stay labelled in the single values.
| Type | Evidence and data date |
|---|---|
| Speed | IBM, Reasoning enabled; effort unspecified. AA 3.0.0, including time to first token, averaged across available workloads and five days. Retrieved November 6, 2026. |
| Research status | Research date October 4, 2026. 11 source URLs checked. This documents the inspected sources, not an exhaustive inventory of every publication. |
| Not published | sample-count-and-confidence-interval Original wording AA publishes neither a per-profile total executed N nor a confidence interval for this aggregate index. Methodology component task counts are not this model's measured N. |
| Unresolved | immutable-model-revision-and-reasoning-effort Original wording The page names the weights repository but no immutable commit or served revision, and does not disclose model-side reasoning effort. |
| Not published | immutable model repository and revision Original wording The paper names Granite-4.2-8B but does not identify an immutable model repository commit or weight hash. |
| Not published | confidence interval and repeated runs Original wording Table 2 says the Granite-as-student vanilla cell is a single run on each suite; no confidence interval or replicate distribution is reported. |
| Additional source | IBM Granite 4.2 announcement (retrieved October 3, 2026) · IBM Granite 4.2 announcement · Editorial description reviewed October 4, 2026 |
| Additional source | IBM Granite 4.2 technical report (retrieved October 4, 2026) · IBM Granite 4.2 technical report · Editorial description reviewed October 4, 2026 |
| Additional source | Artificial Analysis (retrieved November 6, 2026)12345678 |
| Additional source | Artificial Analysis (retrieved November 2, 2026) |
| Additional source | Artificial Analysis (retrieved October 29, 2026; November 2, 2026; November 6, 2026) |
| Additional source | Artificial Analysis (retrieved October 17, 2026; November 6, 2026) |
| Additional source | Artificial Analysis (retrieved November 2, 2026; November 6, 2026) |
| Additional source | IBM Granite 4.2 model card (retrieved October 17, 2026) |
| Additional source | Compiling Expert Procedures into Verified Programs, arXiv:2610.19148v1, Table 2 (retrieved October 17, 2026) |
| Additional source | Compiling Expert Procedures into Verified Programs: When a Small Model Is Enough (arXiv:2610.19148v1) (retrieved October 17, 2026; October 18, 2026) |
| Additional source | SpeciEval (retrieved October 19, 2026) |
| Additional source | IBM Granite product page (retrieved October 19, 2026) |
| Additional source | Michael Mulqueen (retrieved October 19, 2026) |
| Additional source | DuelLab GameBench 2 model results (retrieved October 20, 2026; October 28, 2026; November 2, 2026; November 5, 2026) |
| Additional source | Model metadata (retrieved October 17, 2026) |
| Additional source | OpenRouter: Popularity index (derived), CC BY 4.0 |
| Additional source | Vercel AI Gateway: Popularity index (derived), CC BY 4.0 |
| Additional source | Ollama: cumulative downloads for the popularity index |
| Additional source | Replicate: cumulative runs for the popularity index |
| Additional source | Google Trending Now: limited feed selection for Germany and the US |
| Additional source | Creative Commons Attribution 4.0 |