Google model product
5 billion effective parameters and a 128K context window.
Updated Sep 8, 2026. Default version: Gemma 4 E4B
This profile uses the model's current scored version. Arena ratings and prices are shown separately.
Benchmark scores for Gemma 4 E4B.
Benchmark | Score | Rank | Participants | Percentile | Evidence | Evaluated |
|---|
| BenchmarkBIG-Bench Extra Hard | Score33.10% | Rank05 | Participants11 | Percentile60.00% | EvidenceC | Evaluated |
| BenchmarkMedXpertQA | Score28.70% | Rank10 | Participants12 | Percentile18.18% | EvidenceC | Evaluated |
| BenchmarkMRCR v2 (8-needle) | Score25.40% | Rank19 | Participants24 | Percentile21.74% | EvidenceC | Evaluated |
| Benchmarkt2-bench | Score57.50% | Rank19 | Participants23 | Percentile18.18% | EvidenceC | Evaluated |
| BenchmarkAIME 2026 | Score42.50% | Rank21 | Participants22 | Percentile4.76% | EvidenceC | Evaluated |
| BenchmarkMathVision | Score59.50% | Rank27 | Participants35 | Percentile23.53% | EvidenceC | Evaluated |
| BenchmarkMMMLU | Score76.60% | Rank41 | Participants49 | Percentile16.67% | EvidenceC | Evaluated |
| BenchmarkLiveCodeBench v6 | Score52.00% | Rank52 | Participants62 | Percentile16.39% | EvidenceC | Evaluated |
| BenchmarkMMMU-Pro | Score52.60% | Rank59 | Participants69 | Percentile14.71% | EvidenceC | Evaluated |
| BenchmarkMMLU-Pro | Score69.40% | Rank90 | Participants138 | Percentile35.04% | EvidenceC | Evaluated |
| BenchmarkGPQA | Score58.60% | Rank175 | Participants247 | Percentile29.27% | EvidenceC | Evaluated |
Preference and agent-evaluation results for the default version.
The default version does not have a matching Arena result yet.
Official vendor API pricing appears first, followed by individual provider offers.
Provider | Provider model ID | Region | Input / 1M | Output / 1M | Context | Updated |
|---|
| ProviderDeep Infra | Provider model IDgoogle/gemma-4-E4B-it | Regionglobal | Input / 1M$0.02 | Output / 1M$0.10 | Context131.1K | Updated |
| ProviderNanoGPT | Provider model IDgemma-4-e4b-it | Regionglobal | Input / 1M$0.04 | Output / 1M$0.20 | Context131.1K | Updated |
| ProviderPioneer | Provider model IDgoogle/gemma-4-E4B-it | Regionglobal | Input / 1M$0.20 | Output / 1M$0.20 | Context32.8K | Updated |
Official prices use only the vendor's configured official Provider and positive standard USD PAYG rates. Third-party offers remain explicitly labeled.
Provider-specific output speed and catalog latency for Gemma 4 E4B. Runtime does not affect the capability score.
No provider-specific speed or latency record is linked to the default version yet.
Output Speed is generated output tokens received per second. Catalog latency is reported separately from observed provider TTFT.
Technical details for the model's default version.
Available versions of this model. The score column identifies the version used in the overall ranking.
Version | Released | LLMBoard | Parameters | Context | Max output | Open weights | License |
|---|
| VersionGemma 4 E4B | Released | LLMBoard22.70 | Parameters8B | ContextN/A | Max outputN/A | Open weightsYes | LicenseApache 2.0 |
Recommendations prioritize the same model type and family, then the closest LLMBoard score.
Key information about Gemma 4 E4B and its available data.
5 billion effective parameters, or 8B including embeddings, and a 128K context window. It supports image, text, and audio inputs and uses Per-Layer Embeddings for on-device deployment.
Data as of 2026-09-08.
Common questions about Gemma 4 E4B.
Gemma 4 E4B's default version was released on Apr 2, 2026.
No official standard PAYG price is currently available for Gemma 4 E4B. The lowest tracked third-party offer starts at $0.02 input and $0.10 output via Deep Infra.
Gemma 4 E4B was created by Google.
A context window is not available for the default version.
Yes. The default version is marked as open weight under Apache 2.0.
3 provider offerings are linked to the default version.