DeepSeek V3.2 (Reasoning) vs GPT-5.1 Codex mini (high): The Ultimate Performance & Pricing Comparison

Deep dive into reasoning, benchmarks, and latency insights.

The Final Verdict in the DeepSeek V3.2 (Reasoning) vs GPT-5.1 Codex mini (high) Showdown

After a comprehensive analysis, GPT-5.1 Codex mini (high) emerges as the superior choice for users prioritizing raw intelligence and reasoning. However, DeepSeek V3.2 (Reasoning) remains a highly competitive option, especially for scenarios demanding faster response times and cost-efficiency. This detailed DeepSeek V3.2 (Reasoning) vs GPT-5.1 Codex mini (high) 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.

DeepSeek V3.2 (Reasoning)

DeepSeek

Reasoning: 9
Coding: 4
Multimodal: 3
Long Context: 5
Blended Price / 1M tokens: $0.000
P95 Latency: 1000ms
Tokens per second: 31.622tokens/sec

GPT-5.1 Codex mini (high)

OpenAI

Reasoning: 9
Coding: 4
Multimodal: 3
Long Context: 5
Blended Price / 1M tokens: $0.001
P95 Latency: 1000ms
Tokens per second: 179.414tokens/sec

Overall Capabilities

The capability radar provides a holistic view of the DeepSeek V3.2 (Reasoning) vs GPT-5.1 Codex mini (high) matchup. This chart illustrates each model's strengths and weaknesses at a glance, forming a cornerstone of our DeepSeek V3.2 (Reasoning) vs GPT-5.1 Codex mini (high) analysis.

This radar chart visually maps the core capabilities (reasoning, coding, math proxy, multimodal, long context) of `DeepSeek V3.2 (Reasoning)` vs `GPT-5.1 Codex mini (high)`.

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 (Reasoning) vs GPT-5.1 Codex mini (high) debate, DeepSeek V3.2 (Reasoning) scores 90 against GPT-5.1 Codex mini (high)'s 90. This data-driven approach is essential for any serious DeepSeek V3.2 (Reasoning) vs GPT-5.1 Codex mini (high) 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 (Reasoning) vs GPT-5.1 Codex mini (high) 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 (Reasoning)300ms

GPT-5.1 Codex mini (high)300ms

Tokens per Second

DeepSeek V3.2 (Reasoning)31.622

GPT-5.1 Codex mini (high)179.414

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The Economics of DeepSeek V3.2 (Reasoning) vs GPT-5.1 Codex mini (high)

Power is only one part of the equation. This DeepSeek V3.2 (Reasoning) vs GPT-5.1 Codex mini (high) 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 (Reasoning) would cost $0.000, whereas GPT-5.1 Codex mini (high) would cost $0.001. This practical calculation is vital for any developer considering the DeepSeek V3.2 (Reasoning) vs GPT-5.1 Codex mini (high) choice.

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Which Model Wins the DeepSeek V3.2 (Reasoning) vs GPT-5.1 Codex mini (high) Battle for You?

Choose DeepSeek V3.2 (Reasoning) if...

Your top priority is raw performance and capability.

You need the most advanced reasoning capabilities available.

Your use case demands cutting-edge AI performance.

Choose GPT-5.1 Codex mini (high) 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 DeepSeek V3.2 (Reasoning) vs GPT-5.1 Codex mini (high) Comparison

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