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GoogleGemma 4 31BVSMetaLlama-3.3-70B

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

Our Take

We recommend Gemma 4 31B as it delivers superior reasoning capabilities without requiring heavier local hosting resources. Choose Gemma 4 31B 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 31B scored 84.3%, while Llama-3.3-70B scored 50.5% (+33.8% gap).
  • Coding Performance: Evaluated on different benchmarks. Gemma 4 31B scored 80% on LiveCodeBench (scripting single-file apps or clearly defined functions), while Llama-3.3-70B scored 88.4% on HumanEval (basic standalone code completion and simple functions).
  • Hardware Footprint: Gemma 4 31B is a 30.7B parameter model, matching or being smaller than Llama-3.3-70B (70B).
  • Was this recommendation helpful?
    Model Specs

    Gemma 4 31B

    Open Source

    Benchmarks & Scores

    Coding (live-code-bench)
    80%

    scripting single-file apps or clearly defined functions

    Reasoning (gpqa-diamond)Winner (+33.8%)
    84.3%

    graduate-level science QA

    Cost & Context

    Cost (per 1M tokens)
    Self HostLocal execution (zero API fees)
    Context WindowLarger
    262.14k tokens
    Model Specs

    Llama-3.3-70B

    Open Source

    Benchmarks & Scores

    Coding (human-eval)
    88.4%

    basic standalone code completion and simple functions

    Reasoning (gpqa-diamond)
    50.5%

    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 31B vs Llama-3.3-70B

    For coding tasks, Gemma 4 31B scores 80% on live-code-bench (scripting single-file apps or clearly defined functions), while Llama-3.3-70B scores 88.4% on human-eval (basic standalone code completion and simple functions).

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