BenchLeader
GoogleOpen weights: google/gemma-4-E4BReasoning modelAuto-detected

Gemma 4 E4B

Best configuration ranks #391 of 610 on the BenchLeader Index at 45.4 ±4.9. Released 2 Apr 2026.

Blended price
$0.040/M
$0.020 in · $0.100 out
Output speed
41 tok/s
First answer
49 s
Context
131k
How it scores by categoryDashed line = average model (50). One step of 15 = one standard deviation.
  1. Overall index45
  2. Agents & tools41
  3. Knowledge55
  4. Instruction following46
  5. Multimodal35
  6. Long context41
  7. Composite40

Reasoning-effort configurations

The same model behaves differently depending on how much it is allowed to think. Each row is one setting, scored only on the benchmarks that were run at that setting. “Default” means the publisher did not say which setting was used.

EffortIndexRankSpeedFirst answerChat reply costCategories
no reasoning43.1#44342 tok/s0.74 s$0.0000Agents & tools 40 · Composite 38 · Instruction following 43 · Knowledge 45 · Long context 37 · Multimodal 35
defaultbest45.4#39141 tok/s49 s$0.0000Agents & tools 41 · Composite 40 · Instruction following 46 · Knowledge 55 · Long context 41 · Multimodal 35

Benchmark results

One column per reasoning effort. Rank is among every configuration of every model on that benchmark. Hover a score for the run it came from.

Reasoning

Benchmarkno reasoningdefaultSource
GPQA Diamond (AA)not in index55.0%#38657.6%#371Artificial Analysis
Humanity's Last Exam (AA)not in index4.8%#3923.8%#486Artificial Analysis

Agents & tools

Benchmarkno reasoningdefaultSource
Terminal-Bench Hard7.6%#2328.3%#226Artificial Analysis
τ²-Bench Telecom (AA)not in index26.0%#27720.8%#315Artificial Analysis

Knowledge

Benchmarkno reasoningdefaultSource
AA-Omniscience-41.0#258-19.7#182Artificial Analysis

Instruction following

Benchmarkno reasoningdefaultSource
IFBench40.5%#24744.2%#211Artificial Analysis

Multimodal

Benchmarkno reasoningdefaultSource
MMMU-Pro51.2%#20351.4%#202Artificial Analysis
MMMU-Pro (official)not in index52.6%#14MMMU

Long context

Benchmarkno reasoningdefaultSource
AA-LCR24.0%#34432.0%#315Artificial Analysis

Composite

Benchmarkno reasoningdefaultSource
AA Intelligence Index7.5#3948.9#347Artificial Analysis

What a task costs

Estimates from list price, output speed and time to first answer for the best configuration. “With caching” assumes three-quarters of the input is served from the prompt cache. Reasoning tokens are not modelled.

WorkloadTokens in / outCostWith cachingTime
Chat reply400 / 300$0.000056.5 s
Summarise a 30-page report12,000 / 600$0.00031.1 min
Code edit6,000 / 1,500$0.00031.4 min
Agentic coding session60,000 / 4,000$0.00162.4 min
Structured extraction2,000 / 200$0.000154.1 s

See also

Data as of 9 Sept 2026. Compare these configurations.