Google
availableShows if the model has enough results for an index.Gemma 4 E2B
Gemma 4 E2B is a reasoning model from Google in the Gemma 4 family. 14 benchmarks count toward its score, in 7 categories.
IndexOverall score out of 100.24.0 ±5.3
CoverageShare of the index weight with results.90%
SpeedOutput tokens per second.—
Input / 1MUS dollars per 1M input tokens.Free
Output / 1MUS dollars per 1M output tokens.Free
ContextMaximum tokens in one request.128K
EloLMArena rating and rank.N/A
The index is a score out of 100. The ± range shows how much it can change.
CapabilitiesScore per category, out of 100.
Out of 100Results
14 counted| BenchmarkThe test name. | CategoryThe capability that the test measures. | ResultThe score from the publisher. | IndexThis result as a score out of 100. | RunThe settings of the run. | DateDate of the result. | Published byThe source of the result. |
|---|---|---|---|---|---|---|
| Massive Multitask Language Understanding Professional | Knowledge | 60.0% | 14.9 | — | — | Yubo Wang et al. |
| Artificial Analysis MMMU-Pro | Multimodal | 44.6% | 21.6 | — | — | Artificial Analysis |
| Graduate-Level Google-Proof Q&A | Knowledge | 43.4% | 18.3 | — | — | David Rein et al. |
| Artificial Analysis GPQA Diamond | Knowledge | 43.3% | 12.9 | — | — | Artificial Analysis |
| Artificial Analysis IFBench | Instruction | 38.0% | 27.7 | — | — | Artificial Analysis |
| EuroEval French | Multilingual | 24.3% | 32.7 | — | — | EuroEval |
| EuroEval Dutch | Multilingual | 24.1% | 32.5 | — | — | EuroEval |
| τ²-Bench Tool-Agent-User Evaluation | Agentic | 20.8% | 13.8 | — | — | Victor Barres et al. |
| EuroEval Polish | Multilingual | 20.2% | 27.5 | — | — | EuroEval |
| EuroEval Portuguese | Multilingual | 19.5% | 26.7 | — | — | EuroEval |
| EuroEval Swedish | Multilingual | 19.3% | 26.4 | — | — | EuroEval |
| EuroEval Italian | Multilingual | 16.6% | 23.1 | — | — | EuroEval |
| Artificial Analysis Long Context Reasoning | Reasoning | 16.3% | 19.6 | — | — | Artificial Analysis |
| EuroEval Spanish | Multilingual | 14.6% | 20.6 | — | — | EuroEval |
| EuroEval German | Multilingual | 12.9% | 18.5 | — | — | EuroEval |
| Artificial Analysis Intelligence Index | Knowledge | 7.8% | 32.1 | — | — | Artificial Analysis |
| Artificial Analysis Coding Index | Coding | 7.2% | 24.1 | — | — | Artificial Analysis |
| Artificial Analysis Omniscience Accuracy | Knowledge | 6.6% | 22.0 | — | — | Artificial Analysis |
| Artificial Analysis Humanity's Last Exam | Knowledge | 4.8% | 29.8 | — | — | Artificial Analysis |
| GDPval-AA normalized | Agentic | 0.0% | 35.6 | — | — | Artificial Analysis |
| Critical Physics Tasks | Reasoning | 0.0% | 38.4 | — | — | Artificial Analysis |
14 benchmarks count, from 21 of 21 results. A grey row does not count. Too few models took that benchmark.