Google: Gemma 4 E4B Instruct
23 benchmarks
Leaderboard position
#833
Overall rank (of 1122 models)
390
Elo rating
23
Benchmarks
Top 74.2%
Percentile
In Google (of 73 models)
Above: T-Tech: t-lite-it-1.0 #832
Below: DeepSeek: DeepSeek R1 Distill Llama 8B #834
Benchmark highlights
Best benchmark
Codeforces ELO
940
Worst benchmark
WikiText-2 (-ppl)
-68.255
Nearest competitor from another company
The model from another company with the most similar benchmark scores.
appeared as nearest in 1 of 23 benchmarks
1/23
4.3%
1/23
4.3%
1/23
4.3%
1/23
4.3%
1/23
4.3%
1/23
4.3%
1/23
4.3%
1/23
4.3%
1/23
4.3%
1/23
4.3%
1/23
4.3%
1/23
4.3%
1/23
4.3%
1/23
4.3%
1/23
4.3%
1/23
4.3%
1/23
4.3%
1/23
4.3%
| Model | Votes | % of benchmarks |
|---|---|---|
| Qwen: qwen3-4b-instruct-2507 | 1 | 4.3% |
| Hugging Face Smol Models Research: smollm3-3b | 1 | 4.3% |
| Apple: simplesd-30b-instruct | 1 | 4.3% |
| DeepSeek: deepseek-v3.2-speciale | 1 | 4.3% |
| empero-ai: qwythos-9b-claude-mythos-5-1m | 1 | 4.3% |
| zyphra: zaya1-8b | 1 | 4.3% |
| Tencent: hy3-preview-base | 1 | 4.3% |
| Qwen: qwen3-vl-32b-instruct | 1 | 4.3% |
| Intern Language Models: intern-s1 | 1 | 4.3% |
| DeepSeek: DeepSeek R1 | 1 | 4.3% |
Benchmarks
Codeforces ELO
940
ask-my-agent bench (Native)
93.6
CowQA
78.7
MMMLU
76.6
MMLU-Pro
69.4
MATH-Vision
59.5
GPQA Diamond
58.6
MMMU-Pro
52.6
LiveCodeBench v6
52
AIME 2026
42.5
TauBench V2 (Average)
42.2
ParseBench
40.5
CoVoST
35.54
MedXPertQA MM
28.7
MRCR v2 8 needle
25.4
Artificial Analysis Intelligence Index v4.0 (Maximum Reasoning)
18.8
Artificial Analysis Intelligence Index v4.1 (Maximum Reasoning)
12
Artificial Analysis Intelligence Index v4.3.2
9
CritPt
1
-(FLEURS)
-0.08
-(CoderPPL)
-2.6205
AA-Omniscience Index
-20
WikiText-2 (-ppl)
-68.255
Predicted scores
Estimated from 25 similar models and the global Elo rating. These are projections, not measured results.