GoogleGemma 4 E4BVSMetaLlama-3.1 8B
Our Take
We recommend Gemma 4 E4B as it delivers superior reasoning capabilities without requiring heavier local hosting resources. Choose Gemma 4 E4B 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 E4B scored 58.6%, while Llama-3.1 8B scored 30.4% (+28.2% gap).
Coding Performance: Evaluated on different benchmarks. Gemma 4 E4B scored 52% 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 E4B is a 4.5B parameter model, matching or being smaller than Llama-3.1 8B (8B).
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Benchmarks & Scores
Coding (live-code-bench)
52%scripting single-file apps or clearly defined functions
Reasoning (gpqa-diamond)Winner (+28.2%)
58.6%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 E4B vs Llama-3.1 8B
For coding tasks, Gemma 4 E4B scores 52% 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).
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