Capability
42.2/100
field median 58.2
#176 of 218 ranked models
Gemma 4 E2B
Released Apr 2, 2026 — see all recent releases
Decision reading
Gemma 4 E2B scores 42.2 out of 100 and ranks #176 of 218. This profile shows 2 source-displayable benchmark rows. Published weights can be self-hosted, but infrastructure cost varies and is not a comparable API token rate.
Data as of August 15, 2026 · How the score is built
Strongest published evidence
Published rows are visible, but no category has enough eligible evidence for a comparative rank.
Validate before choosing
2 published rows leave some tracked benchmark slots empty. No comparable first-party API token rate is published.
Decision snapshot
Each value carries a field reference instead of floating alone. Markers compare this model with the current ranked and priced catalog; they are not absolute quality thresholds.
Price
Self-hosted; infrastructure cost varies
input median $1
No comparable first-party hosted token rate
Speed
Not measured
field median 94 tok/s
Time to first token not measured
Context
128Ktokens
field median 200,000
Maximum output length is tracked separately
How much of this is verified
Coverage is split by category so a strong number never hides a thin evidence base. Verified means the row is tied to a published source; provisional rows remain visible but separate.
- AgenticNot measured
- CodingNot measured
- ReasoningNot measured
- Knowledge0/2 verified
- MathNot measured
- MultilingualNot measured
- MultimodalNot measured
- Inst. FollowingNot measured
Verified sourceProvisionalNot measured
Spec sheet
Each documented value carries its source. Missing fields stay visible as not sourced or not published, rather than disappearing from the page.
- API model ID
- google/gemma-4-E2BGoogle gemma-4-E2B model card
- Context window
- 128KGoogle Gemma 4 model documentation
- Maximum output
- Not sourced yet
- Knowledge cutoff
- Not sourced yet
- Input modalities
- text, image, audio, videoGoogle Gemma 4 model documentation
- Output modalities
- textGoogle Gemma 4 model documentation
- Parameters
- Not sourced yet
- Availability
- open weightsGoogle gemma-4-E2B model card
- Cloud regions
- Not tracked yet
- Lifecycle
- activeGoogle gemma-4-E2B model card
- API capabilities
- Tool calling, structured outputs, and batch support are not tracked yet
- Prompt caching
- Not documented in the pricing record
- Self-host
- Open weights available; hardware estimate not sourced
- Rate limits
- Not tracked yet
Deployment options
Self-host and provider-specific paths stay separate from benchmark evidence so operating constraints are visible before a score becomes the whole decision.
Published weights are available, but BenchLM does not yet have a sourced parameter and VRAM profile for this exact model. Hardware cost estimates stay unavailable until that sizing record is complete.
Estimate VRAM from known parametersCategory score record
Scores and ranks appear only where published evidence can be displayed. The table keeps the score, weight, cohort, and evidence state together.
| Category | Score | Rank | Percentile | Weight | Benchmarks | Evidence |
|---|---|---|---|---|---|---|
| AgenticWeight 22%0 benchmarksNot measured | Not measured | Not ranked | Not available | 22% | 0 benchmarks | Not measured |
| CodingWeight 20%0 benchmarksNot measured | Not measured | Not ranked | Not available | 20% | 0 benchmarks | Not measured |
| ReasoningWeight 17%0 benchmarksNot measured | Not measured | Not ranked | Not available | 17% | 0 benchmarks | Not measured |
| KnowledgeRank Not rankedWeight 12%2 benchmarksReported | 56.9 | Not ranked | Not available | 12% | 2 benchmarks | Reported |
| MathWeight 5%0 benchmarksNot measured | Not measured | Not ranked | Not available | 5% | 0 benchmarks | Not measured |
| MultilingualWeight 7%0 benchmarksNot measured | Not measured | Not ranked | Not available | 7% | 0 benchmarks | Not measured |
| MultimodalWeight 12%0 benchmarksNot measured | Not measured | Not ranked | Not available | 12% | 0 benchmarks | Not measured |
| Inst. FollowingWeight 5%0 benchmarksNot measured | Not measured | Not ranked | Not available | 5% | 0 benchmarks | Not measured |
Benchmark ledger
Knowledge opens by default. The marker compares each value with the best source-verified result in the catalog; provisional leaders do not set the reference. Expand the remaining categories for every published row.
Knowledge2 rows
| Benchmark | Score | Versus best verified row | Gap | Weight | Evidence |
|---|---|---|---|---|---|
| MMLU-ProMassive Multitask Language Understanding Professional | Score60% | Versus best verified row Best verified: Qwen3.7 Max · 89.6% | Gap29.6 behind | WeightWeighted 30% | Reported |
| GPQAGraduate-Level Google-Proof Q&A | Score43.4% | Versus best verified row Best verified: Sakana Fugu-Ultra · 95.5% | Gap52.1 behind | WeightWeighted 7% | Reported |
Lineage
The sequence follows explicit supersedes links. Scores and prices remain blank when the corresponding public row or first-party rate is unavailable.
Apr 2, 2026 · you are here
Gemma 4 E2BScore 42.2 · Price not listed
E2b
How to read this profile
The visual layer above carries the decisions. These notes preserve the model, ranking, coverage, and family context behind the numbers.
Gemma 4 E2B ranks #176 of 218 on the public leaderboard with a score of 42.18/100. It does not yet have enough sourced coverage for a verified position.
Gemma 4 E2B is a open weight model with a 128K context window. It uses an explicit reasoning mode, which can improve complex problem solving while adding latency and token use.
Official exact-value snapshot from Google's April 2, 2026 Gemma 4 model card and launch post. BenchLM maps only schema-equivalent results from the published table: MMLU Pro, GPQA Diamond, LiveCodeBench v6, BigBench Extra Hard, MMMU Pro, and MRCR v2. AIME 2026, Codeforces, MMMLU, OmniDocBench 1.5, MATH-Vision, MedXPertQA MM, audio benchmarks, HLE, and Tau2 (average over 3) remain out-of-schema or unavailable for this model in the current weighted keys.
Gemma 4 E2B sits in the Gemma 4 family with Gemma 4 31B, Gemma 4 26B A4B, Gemma 4 12B, Gemma 4 E4B. 2 of 437 tracked benchmark slots currently have displayable evidence. Missing categories stay blank.
Radar
Full release historyGemma 4 E2B release history
Gemma 4 released
Google · Model release
Source confirmed
Frequently asked questions
How does Gemma 4 E2B perform overall in AI benchmarks?
Gemma 4 E2B ranks #176 out of 218 models on the public BenchAlign leaderboard, with a score of 42.18/100. Its evidence status is Estimated, and this profile shows 2 source-displayable benchmark rows. The label describes evidence depth, not a provider quality claim; inspect category rows before choosing a workload.
Is Gemma 4 E2B good for knowledge and understanding?
Gemma 4 E2B has source-displayable benchmark coverage for knowledge and understanding, but the public category table does not assign it a rank there. The individual rows remain available for inspection. A missing category position means the evidence threshold was not met; it does not convert the model's unmeasured work into a zero.
Is Gemma 4 E2B open source?
Gemma 4 E2B is an open-weight model from Google. Its weights can be downloaded for local or hosted deployment, subject to the published license. Open weight does not automatically mean open source: training data and training code may remain private, and commercial restrictions can still apply.
Which sibling models are related to Gemma 4 E2B?
Gemma 4 E2B belongs to the Gemma 4 family. Related tracked variants include Gemma 4 31B, Gemma 4 26B A4B, Gemma 4 12B, plus 1 more. A sibling link indicates shared lineage or a documented configuration relationship; it does not mean the variants have identical pricing, context limits, benchmark evidence, or deployment behavior. Compare before switching.
Does Gemma 4 E2B have full benchmark coverage on BenchLM?
No. Gemma 4 E2B currently has 17 source-displayable rows across 437 tracked benchmark slots. The profile exposes published, non-generated evidence and leaves missing categories blank until an exact evaluation is available. Coverage describes how much was measured; it is not a penalty added to an individual benchmark result.
What is the context window size of Gemma 4 E2B?
Gemma 4 E2B has a documented context window of 128K. That figure is the maximum combined prompt and retained-conversation space reported for this exact model; it is not the maximum output length. The profile keeps output limits separate because providers often publish those limits independently.
Last updated August 15, 2026. Runtime fields remain blank until a sourced snapshot exists.
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