EXAONE 4.0 32B (Non-reasoning) vs GPT-4o mini: The Ultimate Performance & Pricing Comparison

Deep dive into reasoning, benchmarks, and latency insights.

The Final Verdict in the EXAONE 4.0 32B (Non-reasoning) vs GPT-4o mini Showdown

After a comprehensive analysis, GPT-4o mini emerges as the superior choice for users prioritizing raw intelligence and reasoning. However, EXAONE 4.0 32B (Non-reasoning) remains a highly competitive option, especially for scenarios demanding faster response times and cost-efficiency. This detailed EXAONE 4.0 32B (Non-reasoning) vs GPT-4o mini 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.

EXAONE 4.0 32B (Non-reasoning)

Other

Reasoning: 4
Coding: 1
Multimodal: 1
Long Context: 1
Blended Price / 1M tokens: $0.001
P95 Latency: 1000ms
Tokens per second: 88.228tokens/sec

GPT-4o mini

OpenAI

Reasoning: 1
Coding: 6
Multimodal: 1
Long Context: 2
Blended Price / 1M tokens: $0.000
P95 Latency: 1000ms
Tokens per second: 56.089tokens/sec

Overall Capabilities

The capability radar provides a holistic view of the EXAONE 4.0 32B (Non-reasoning) vs GPT-4o mini matchup. This chart illustrates each model's strengths and weaknesses at a glance, forming a cornerstone of our EXAONE 4.0 32B (Non-reasoning) vs GPT-4o mini analysis.

This radar chart visually maps the core capabilities (reasoning, coding, math proxy, multimodal, long context) of `EXAONE 4.0 32B (Non-reasoning)` vs `GPT-4o mini`.

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 EXAONE 4.0 32B (Non-reasoning) vs GPT-4o mini debate, EXAONE 4.0 32B (Non-reasoning) scores 40 against GPT-4o mini's 10. This data-driven approach is essential for any serious EXAONE 4.0 32B (Non-reasoning) vs GPT-4o mini comparison.

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

Speed & Latency

Speed is a crucial factor in the EXAONE 4.0 32B (Non-reasoning) vs GPT-4o mini decision for interactive applications. The metrics below highlight the trade-offs you should weigh before shipping to production.

Time to First Token

EXAONE 4.0 32B (Non-reasoning)300ms

GPT-4o mini300ms

Tokens per Second

EXAONE 4.0 32B (Non-reasoning)88.228

GPT-4o mini56.089

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The Economics of EXAONE 4.0 32B (Non-reasoning) vs GPT-4o mini

Power is only one part of the equation. This EXAONE 4.0 32B (Non-reasoning) vs GPT-4o mini 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, EXAONE 4.0 32B (Non-reasoning) would cost $0.001, whereas GPT-4o mini would cost $0.000. This practical calculation is vital for any developer considering the EXAONE 4.0 32B (Non-reasoning) vs GPT-4o mini choice.

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Which Model Wins the EXAONE 4.0 32B (Non-reasoning) vs GPT-4o mini Battle for You?

Choose EXAONE 4.0 32B (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 EXAONE 4.0 32B (Non-reasoning) vs GPT-4o mini decision.

You need the most advanced reasoning capabilities available.

Choose GPT-4o mini if...

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

Your budget is a primary consideration in the EXAONE 4.0 32B (Non-reasoning) vs GPT-4o mini choice.

You are developing at scale where operational costs are critical.

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Your Questions about the EXAONE 4.0 32B (Non-reasoning) vs GPT-4o mini Comparison

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Data source: https://artificialanalysis.ai/