GoogleGemma 4 E2BVSMetaLlama-3.1 8B
Our Take
We recommend Gemma 4 E2B as it delivers superior reasoning capabilities without requiring heavier local hosting resources. Choose Gemma 4 E2B for your local setup to get the best performance.
▶WHY?
Benchmark Calculations & Evidence:
Reasoning Accuracy: Both models were evaluated on the GPQA Diamond benchmark. Gemma 4 E2B scored 43.4%, while Llama-3.1 8B scored 30.4% (+13.0% gap).
Coding Performance: Evaluated on different benchmarks. Gemma 4 E2B scored 44% on LiveCodeBench (scripting single-file apps or clearly defined functions), while Llama-3.1 8B scored 72.6% on HumanEval (basic standalone code completion and simple functions).
Hardware Footprint: Gemma 4 E2B is a 2.3B parameter model, matching or being smaller than Llama-3.1 8B (8B).
Was this recommendation helpful?
Benchmarks & Scores
Coding (live-code-bench)
44%scripting single-file apps or clearly defined functions
Reasoning (gpqa-diamond)Winner (+13.0%)
43.4%graduate-level science QA
Cost & Context
Cost (per 1M tokens)
Self HostLocal execution (zero API fees)Context Window
131.07k tokensBenchmarks & Scores
Coding (human-eval)
72.6%basic standalone code completion and simple functions
Reasoning (gpqa-diamond)
30.4%graduate-level science QA
Cost & Context
Cost (per 1M tokens)
Self HostLocal execution (zero API fees)Context Window
131.07k tokensFrequently Asked Questions about Gemma 4 E2B vs Llama-3.1 8B
For coding tasks, Gemma 4 E2B scores 44% on live-code-bench (scripting single-file apps or clearly defined functions), while Llama-3.1 8B scores 72.6% on human-eval (basic standalone code completion and simple functions).
Related Matchups
Explore similar comparisons for Gemma 4 E2B and Llama-3.1 8B.
Do you want to find a model for your constraints?
Use our interactive model finder to filter LLMs by reasoning capability, coding performance, cost, and context length.