o4-mini (high) vs Qwen2.5 Max: The Ultimate Performance & Pricing Comparison

Deep dive into reasoning, benchmarks, and latency insights.

The Final Verdict in the o4-mini (high) vs Qwen2.5 Max Showdown

After a comprehensive analysis, o4-mini (high) emerges as the superior choice for users prioritizing raw intelligence and reasoning. However, Qwen2.5 Max remains a highly competitive option, especially for scenarios demanding faster response times and cost-efficiency. This detailed o4-mini (high) vs Qwen2.5 Max 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.

o4-mini (high)

OpenAI

Reasoning: 9
Coding: 3
Multimodal: 3
Long Context: 4
Blended Price / 1M tokens: $0.002
P95 Latency: 1000ms
Tokens per second: 128.43tokens/sec

Qwen2.5 Max

Other

Reasoning: 6
Coding: 6
Multimodal: 1
Long Context: 2
Blended Price / 1M tokens: $0.003
P95 Latency: 1000ms
Tokens per second: 38.764tokens/sec

Overall Capabilities

The capability radar provides a holistic view of the o4-mini (high) vs Qwen2.5 Max matchup. This chart illustrates each model's strengths and weaknesses at a glance, forming a cornerstone of our o4-mini (high) vs Qwen2.5 Max analysis.

This radar chart visually maps the core capabilities (reasoning, coding, math proxy, multimodal, long context) of `o4-mini (high)` vs `Qwen2.5 Max`.

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 o4-mini (high) vs Qwen2.5 Max debate, o4-mini (high) scores 90 against Qwen2.5 Max's 60. This data-driven approach is essential for any serious o4-mini (high) vs Qwen2.5 Max comparison.

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

Speed & Latency

Speed is a crucial factor in the o4-mini (high) vs Qwen2.5 Max decision for interactive applications. The metrics below highlight the trade-offs you should weigh before shipping to production.

Time to First Token

o4-mini (high)300ms

Qwen2.5 Max300ms

Tokens per Second

o4-mini (high)128.43

Qwen2.5 Max38.764

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The Economics of o4-mini (high) vs Qwen2.5 Max

Power is only one part of the equation. This o4-mini (high) vs Qwen2.5 Max 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, o4-mini (high) would cost $0.002, whereas Qwen2.5 Max would cost $0.003. This practical calculation is vital for any developer considering the o4-mini (high) vs Qwen2.5 Max choice.

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Which Model Wins the o4-mini (high) vs Qwen2.5 Max Battle for You?

Choose o4-mini (high) 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 Qwen2.5 Max 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 o4-mini (high) vs Qwen2.5 Max Comparison

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Data source: https://artificialanalysis.ai/