DeepSeek V3.2 (Non-reasoning) vs GPT-4.1 nano: The Ultimate Performance & Pricing Comparison

Deep dive into reasoning, benchmarks, and latency insights.

The Final Verdict in the DeepSeek V3.2 (Non-reasoning) vs GPT-4.1 nano Showdown

After a comprehensive analysis, DeepSeek V3.2 (Non-reasoning) emerges as the superior choice for users prioritizing raw intelligence and reasoning. However, GPT-4.1 nano remains a highly competitive option, especially for scenarios demanding faster response times and cost-efficiency. This detailed DeepSeek V3.2 (Non-reasoning) vs GPT-4.1 nano comparison will break down every critical metric to help you make the best decision.

Explore best-for scenarios•Let the AI Selector recommend next steps

Model Snapshot

Key decision metrics at a glance.

DeepSeek V3.2 (Non-reasoning)

DeepSeek

Reasoning: 6
Coding: 3
Multimodal: 3
Long Context: 4
Blended Price / 1M tokens: $0.000
P95 Latency: 1000ms
Tokens per second: 32.729tokens/sec

GPT-4.1 nano

OpenAI

Reasoning: 2
Coding: 1
Multimodal: 1
Long Context: 2
Blended Price / 1M tokens: $0.000
P95 Latency: 1000ms
Tokens per second: 137.073tokens/sec

Overall Capabilities

The capability radar provides a holistic view of the DeepSeek V3.2 (Non-reasoning) vs GPT-4.1 nano matchup. This chart illustrates each model's strengths and weaknesses at a glance, forming a cornerstone of our DeepSeek V3.2 (Non-reasoning) vs GPT-4.1 nano analysis.

This radar chart visually maps the core capabilities (reasoning, coding, math proxy, multimodal, long context) of `DeepSeek V3.2 (Non-reasoning)` vs `GPT-4.1 nano`.

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 DeepSeek V3.2 (Non-reasoning) vs GPT-4.1 nano debate, DeepSeek V3.2 (Non-reasoning) scores 60 against GPT-4.1 nano's 20. This data-driven approach is essential for any serious DeepSeek V3.2 (Non-reasoning) vs GPT-4.1 nano comparison.

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

Speed & Latency

Speed is a crucial factor in the DeepSeek V3.2 (Non-reasoning) vs GPT-4.1 nano decision for interactive applications. The metrics below highlight the trade-offs you should weigh before shipping to production.

Time to First Token

DeepSeek V3.2 (Non-reasoning)300ms

GPT-4.1 nano300ms

Tokens per Second

DeepSeek V3.2 (Non-reasoning)32.729

GPT-4.1 nano137.073

Head to the playground to validate these results yourself

The Economics of DeepSeek V3.2 (Non-reasoning) vs GPT-4.1 nano

Power is only one part of the equation. This DeepSeek V3.2 (Non-reasoning) vs GPT-4.1 nano 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, DeepSeek V3.2 (Non-reasoning) would cost $0.000, whereas GPT-4.1 nano would cost $0.000. This practical calculation is vital for any developer considering the DeepSeek V3.2 (Non-reasoning) vs GPT-4.1 nano choice.

Review the complete pricing and packaging strategy

Which Model Wins the DeepSeek V3.2 (Non-reasoning) vs GPT-4.1 nano Battle for You?

Choose DeepSeek V3.2 (Non-reasoning) if...

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

Cost is a secondary concern to power in your DeepSeek V3.2 (Non-reasoning) vs GPT-4.1 nano decision.

You need the most advanced reasoning capabilities available.

Choose GPT-4.1 nano if...

You need a highly responsive model for user-facing applications.

Your budget is a primary consideration in the DeepSeek V3.2 (Non-reasoning) vs GPT-4.1 nano choice.

You are developing at scale where operational costs are critical.

Explore all Best picks Use the AI Selector for a tailored recommendation

Your Questions about the DeepSeek V3.2 (Non-reasoning) vs GPT-4.1 nano Comparison

Review the full evaluation methodology · Read the latest analysis posts

Data source: https://artificialanalysis.ai/