GoogleGemma 4 12BVSMetaLlama-3.3-70B
Our Take
We recommend Gemma 4 12B as it delivers superior reasoning capabilities without requiring heavier local hosting resources. Choose Gemma 4 12B 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 12B scored 78.8%, while Llama-3.3-70B scored 50.5% (+28.3% gap).
Coding Performance: Evaluated on different benchmarks. Gemma 4 12B scored 72% 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 12B is a 11.95B parameter model, matching or being smaller than Llama-3.3-70B (70B).
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Benchmarks & Scores
Coding (live-code-bench)
72%scripting single-file apps or clearly defined functions
Reasoning (gpqa-diamond)Winner (+28.3%)
78.8%graduate-level science QA
Cost & Context
Cost (per 1M tokens)
Self HostLocal execution (zero API fees)Context WindowLarger
262.14k tokensBenchmarks & 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 tokensFrequently Asked Questions about Gemma 4 12B vs Llama-3.3-70B
For coding tasks, Gemma 4 12B scores 72% 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).
Related Matchups
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