GPT-4 Turbo vs o3-mini: The Ultimate Performance & Pricing Comparison

Deep dive into reasoning, benchmarks, and latency insights.

The Final Verdict in the GPT-4 Turbo vs o3-mini Showdown

After a comprehensive analysis, o3-mini emerges as the superior choice for users prioritizing raw intelligence and reasoning. However, GPT-4 Turbo remains a highly competitive option, especially for scenarios demanding faster response times and cost-efficiency. This detailed GPT-4 Turbo vs o3-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.

GPT-4 Turbo

OpenAI

Reasoning: 6
Coding: 2
Multimodal: 1
Long Context: 2
Blended Price / 1M tokens: $0.015
P95 Latency: 1000ms
Tokens per second: 25.308tokens/sec

o3-mini

OpenAI

Reasoning: 6
Coding: 2
Multimodal: 2
Long Context: 3
Blended Price / 1M tokens: $0.002
P95 Latency: 1000ms
Tokens per second: 134.222tokens/sec

Overall Capabilities

The capability radar provides a holistic view of the GPT-4 Turbo vs o3-mini matchup. This chart illustrates each model's strengths and weaknesses at a glance, forming a cornerstone of our GPT-4 Turbo vs o3-mini analysis.

This radar chart visually maps the core capabilities (reasoning, coding, math proxy, multimodal, long context) of `GPT-4 Turbo` vs `o3-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 GPT-4 Turbo vs o3-mini debate, GPT-4 Turbo scores 60 against o3-mini's 60. This data-driven approach is essential for any serious GPT-4 Turbo vs o3-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 GPT-4 Turbo vs o3-mini decision for interactive applications. The metrics below highlight the trade-offs you should weigh before shipping to production.

Time to First Token

GPT-4 Turbo300ms

o3-mini300ms

Tokens per Second

GPT-4 Turbo25.308

o3-mini134.222

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The Economics of GPT-4 Turbo vs o3-mini

Power is only one part of the equation. This GPT-4 Turbo vs o3-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, GPT-4 Turbo would cost $0.018, whereas o3-mini would cost $0.002. This practical calculation is vital for any developer considering the GPT-4 Turbo vs o3-mini choice.

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Which Model Wins the GPT-4 Turbo vs o3-mini Battle for You?

Choose GPT-4 Turbo if...

Cost is a secondary concern to power in your GPT-4 Turbo vs o3-mini decision.

You need the most advanced reasoning capabilities available.

Your use case demands cutting-edge AI performance.

Choose o3-mini if...

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

Your budget is a primary consideration in the GPT-4 Turbo vs o3-mini choice.

You are developing at scale where operational costs are critical.

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Your Questions about the GPT-4 Turbo vs o3-mini Comparison

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Data source: https://artificialanalysis.ai/