GPT-5.2 Codex (xhigh) vs Gemma 3n E2B Instruct: The Ultimate Performance & Pricing Comparison

Deep dive into reasoning, benchmarks, and latency insights.

The Final Verdict in the GPT-5.2 Codex (xhigh) vs Gemma 3n E2B Instruct Showdown

After a comprehensive analysis, GPT-5.2 Codex (xhigh) emerges as the superior choice for users prioritizing raw intelligence and reasoning. However, Gemma 3n E2B Instruct remains a highly competitive option, especially for scenarios demanding faster response times and cost-efficiency. This detailed GPT-5.2 Codex (xhigh) vs Gemma 3n E2B Instruct comparison will break down every critical metric to help you make the best decision.

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Model Snapshot

Key decision metrics at a glance.

GPT-5.2 Codex (xhigh)

OpenAI

Reasoning: 6
Coding: 4
Multimodal: 4
Long Context: 6
Blended Price / 1M tokens: $0.005
P95 Latency: 1000ms
Tokens per second: 89.095tokens/sec

Gemma 3n E2B Instruct

Google

Reasoning: 1
Coding: 1
Multimodal: 1
Long Context: 1
Blended Price / 1M tokens: $0.015
P95 Latency: 1000ms
Tokens per second: 34.646tokens/sec

Overall Capabilities

The capability radar provides a holistic view of the GPT-5.2 Codex (xhigh) vs Gemma 3n E2B Instruct matchup. This chart illustrates each model's strengths and weaknesses at a glance, forming a cornerstone of our GPT-5.2 Codex (xhigh) vs Gemma 3n E2B Instruct analysis.

This radar chart visually maps the core capabilities (reasoning, coding, math proxy, multimodal, long context) of `GPT-5.2 Codex (xhigh)` vs `Gemma 3n E2B Instruct`.

Benchmark Breakdown

For a granular look, this chart directly compares scores across standardized benchmarks. In the critical MMLU Pro test, a key part of the GPT-5.2 Codex (xhigh) vs Gemma 3n E2B Instruct debate, GPT-5.2 Codex (xhigh) scores 60 against Gemma 3n E2B Instruct's 10. This data-driven approach is essential for any serious GPT-5.2 Codex (xhigh) vs Gemma 3n E2B Instruct comparison.

This grouped bar chart provides a side-by-side comparison for each benchmark metric.

Speed & Latency

Speed is a crucial factor in the GPT-5.2 Codex (xhigh) vs Gemma 3n E2B Instruct decision for interactive applications. The metrics below highlight the trade-offs you should weigh before shipping to production.

Time to First Token

GPT-5.2 Codex (xhigh)300ms

Gemma 3n E2B Instruct300ms

Tokens per Second

GPT-5.2 Codex (xhigh)89.095

Gemma 3n E2B Instruct34.646

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The Economics of GPT-5.2 Codex (xhigh) vs Gemma 3n E2B Instruct

Power is only one part of the equation. This GPT-5.2 Codex (xhigh) vs Gemma 3n E2B Instruct pricing analysis gives you a true sense of value.

Pricing Breakdown

Compare input and output pricing at a glance.

Real-World Cost Scenario

To process 1M input tokens and generate 250k output tokens, GPT-5.2 Codex (xhigh) would cost $0.005, whereas Gemma 3n E2B Instruct would cost $0.018. This practical calculation is vital for any developer considering the GPT-5.2 Codex (xhigh) vs Gemma 3n E2B Instruct choice.

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Which Model Wins the GPT-5.2 Codex (xhigh) vs Gemma 3n E2B Instruct Battle for You?

Choose GPT-5.2 Codex (xhigh) if...

You are working in a technical or scientific field requiring the highest accuracy.

You need the most advanced reasoning capabilities available.

Your use case demands cutting-edge AI performance.

Choose Gemma 3n E2B Instruct if...

You are developing at scale where operational costs are critical.

You prioritize cost-effectiveness over maximum performance.

Your workload requires consistent, reliable performance.

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Your Questions about the GPT-5.2 Codex (xhigh) vs Gemma 3n E2B Instruct Comparison

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Data source: https://artificialanalysis.ai/