Google Gemma 4 E2B VS OpenAI GPT-5.6 Luna
Decision Recommendation
⚖️ Editorial Verdict: In our analysis, GPT-5.6 Luna is the premium intelligence choice, scoring 18.7% higher on coding benchmarks. However, this accuracy premium comes with a cost overhead: Gemma 4 E2B is 1.0x cheaper to run. If you are building high-volume, simple chatbots or processing massive amounts of text where budget is critical, Gemma 4 E2B offers excellent cost savings. For agentic reasoning, code refactoring, or complex logical tasks, the accuracy premium of GPT-5.6 Luna fully justifies the cost.
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Model Specs
Gemma 4 E2B
Benchmarks & Scores
Coding (live-code-bench)
44%good at single-file apps, building games & UIs, and scripting new logic
Reasoning (gpqa-diamond)
43.4%graduate-level science QA
Cost & Performance
Cost (per 1M tokens)
N/AInput: N/A | Output: N/AContext Window
131.07k tokensModel Specs
GPT-5.6 Luna
Benchmarks & Scores
Coding (swe-bench-pro)
62.7%excellent at multi-file repositories, autonomous agents, and industrial codebases
Reasoning (gpqa-diamond)Winner (+48.9%)
92.3%graduate-level science QA
Cost & Performance
Cost (per 1M tokens)
$2.25Input: $1.00 | Output: $6.00Context WindowLarger
1.05M tokensFrequently Asked Questions about Gemma 4 E2B vs GPT-5.6 Luna comparison
For coding tasks, Gemma 4 E2B scores 44% on live-code-bench (good at single-file apps, building games & UIs, and scripting new logic), while GPT-5.6 Luna scores 62.7% on swe-bench-pro (excellent at multi-file repositories, autonomous agents, and industrial codebases).
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