Claude Opus 4.5 (Reasoning) vs Gemma 3n E4B Instruct Preview (May '25): The Ultimate Performance & Pricing Comparison

Deep dive into reasoning, benchmarks, and latency insights.

The Final Verdict in the Claude Opus 4.5 (Reasoning) vs Gemma 3n E4B Instruct Preview (May '25) Showdown

After a comprehensive analysis, Claude Opus 4.5 (Reasoning) emerges as the superior choice for users prioritizing raw intelligence and reasoning. However, Gemma 3n E4B Instruct Preview (May '25) remains a highly competitive option, especially for scenarios demanding faster response times and cost-efficiency. This detailed Claude Opus 4.5 (Reasoning) vs Gemma 3n E4B Instruct Preview (May '25) 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.

Claude Opus 4.5 (Reasoning)

Anthropic

Reasoning: 9
Coding: 5
Multimodal: 4
Long Context: 6
Blended Price / 1M tokens: $0.010
P95 Latency: 1000ms
Tokens per second: 85.346tokens/sec

Gemma 3n E4B Instruct Preview (May '25)

Google

Reasoning: 6
Coding: 6
Multimodal: 1
Long Context: 1
Blended Price / 1M tokens: $0.015
P95 Latency: 1000ms
Tokens per second: —

Overall Capabilities

The capability radar provides a holistic view of the Claude Opus 4.5 (Reasoning) vs Gemma 3n E4B Instruct Preview (May '25) matchup. This chart illustrates each model's strengths and weaknesses at a glance, forming a cornerstone of our Claude Opus 4.5 (Reasoning) vs Gemma 3n E4B Instruct Preview (May '25) analysis.

This radar chart visually maps the core capabilities (reasoning, coding, math proxy, multimodal, long context) of `Claude Opus 4.5 (Reasoning)` vs `Gemma 3n E4B Instruct Preview (May '25)`.

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 Claude Opus 4.5 (Reasoning) vs Gemma 3n E4B Instruct Preview (May '25) debate, Claude Opus 4.5 (Reasoning) scores 90 against Gemma 3n E4B Instruct Preview (May '25)'s 60. This data-driven approach is essential for any serious Claude Opus 4.5 (Reasoning) vs Gemma 3n E4B Instruct Preview (May '25) comparison.

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

Speed & Latency

Speed is a crucial factor in the Claude Opus 4.5 (Reasoning) vs Gemma 3n E4B Instruct Preview (May '25) decision for interactive applications. The metrics below highlight the trade-offs you should weigh before shipping to production.

Time to First Token

Claude Opus 4.5 (Reasoning)300ms

Gemma 3n E4B Instruct Preview (May '25)300ms

Tokens per Second

Claude Opus 4.5 (Reasoning)85.346

Gemma 3n E4B Instruct Preview (May '25)47

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The Economics of Claude Opus 4.5 (Reasoning) vs Gemma 3n E4B Instruct Preview (May '25)

Power is only one part of the equation. This Claude Opus 4.5 (Reasoning) vs Gemma 3n E4B Instruct Preview (May '25) 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, Claude Opus 4.5 (Reasoning) would cost $0.011, whereas Gemma 3n E4B Instruct Preview (May '25) would cost $0.018. This practical calculation is vital for any developer considering the Claude Opus 4.5 (Reasoning) vs Gemma 3n E4B Instruct Preview (May '25) choice.

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Which Model Wins the Claude Opus 4.5 (Reasoning) vs Gemma 3n E4B Instruct Preview (May '25) Battle for You?

Choose Claude Opus 4.5 (Reasoning) if...

Your top priority is raw performance and capability.

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

You need the most advanced reasoning capabilities available.

Choose Gemma 3n E4B Instruct Preview (May '25) 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 Claude Opus 4.5 (Reasoning) vs Gemma 3n E4B Instruct Preview (May '25) Comparison

Review the full evaluation methodology · Read the latest analysis posts

Data source: https://artificialanalysis.ai/