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GoogleGemma 4 E2BVSMetaLlama-3.1 8B

Analysis by:the whichllmmodel Editorial Team|Updated: June 2026

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?
    Model Specs

    Gemma 4 E2B

    Open Source

    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 tokens
    Model Specs

    Llama-3.1 8B

    Open Source

    Benchmarks & 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 tokens

    Frequently 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).

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