Gemma 4 E2B
BenchLM is tracking Gemma 4 E2B, but this profile is currently excluded from the public leaderboard because it still lacks enough non-generated benchmark coverage to rank safely. Only non-generated public benchmark rows appear below.
Gemma 4 E2B is a open weight model with a 128K token context window. It uses explicit chain-of-thought reasoning, which typically improves performance on math and complex reasoning tasks at the cost of higher latency and token usage.
Gemma 4 E2B sits inside the Gemma 4 family alongside Gemma 4 31B, Gemma 4 26B A4B, Gemma 4 E4B. This profile currently has 2 of 193 tracked benchmarks. BenchLM only exposes non-generated benchmark rows publicly, so missing categories stay blank until a sourced evaluation is available.
Ranking Distribution
Category rank across 4 benchmark categories — sorted by best rank
Category Performance
Scores across all benchmark categories (0-100 scale)
Category Breakdown
Agentic
Coding
Reasoning
Knowledge
Math
Multilingual
Multimodal
Inst. Following
Benchmark Details
Only benchmark rows with an attached exact-source record are shown here. Source-unverified manual rows and generated rows are hidden from model pages.
Compare This Model
See how Gemma 4 E2B stacks up against similar models
Frequently Asked Questions
How does Gemma 4 E2B perform overall in AI benchmarks?
Gemma 4 E2B has 2 published benchmark scores on BenchLM, but it does not yet have enough non-generated coverage to receive a global overall rank.
Is Gemma 4 E2B good for knowledge and understanding?
Gemma 4 E2B has visible benchmark coverage in knowledge and understanding, but BenchLM does not currently assign it a global category rank there.
Is Gemma 4 E2B open source?
Yes, Gemma 4 E2B is an open weight model created by Google, meaning it can be downloaded and run locally or fine-tuned for specific use cases.
Which sibling models are related to Gemma 4 E2B?
Gemma 4 E2B belongs to the Gemma 4 family. Related variants on BenchLM include Gemma 4 31B, Gemma 4 26B A4B, Gemma 4 E4B.
Does Gemma 4 E2B have full benchmark coverage on BenchLM?
Not yet. Gemma 4 E2B currently has 2 published benchmark scores out of the 193 benchmarks BenchLM tracks. BenchLM only exposes non-generated public benchmark rows, so missing categories stay blank until a sourced evaluation is available.
What is the context window size of Gemma 4 E2B?
Gemma 4 E2B has a context window of 128K, which determines how much text it can process in a single interaction.
Related Resources
Don't miss the next GPT moment
Which models moved up, what’s new, and what it costs. One email a week, 3-min read.
Free. One email per week.