GPT-3.5 Turbo vs DeepSeek R1 (Jan '25): The Ultimate Performance & Pricing Comparison

Deep dive into reasoning, benchmarks, and latency insights.

The Final Verdict in the GPT-3.5 Turbo vs DeepSeek R1 (Jan '25) Showdown

After a comprehensive analysis, DeepSeek R1 (Jan '25) emerges as the superior choice for users prioritizing raw intelligence and reasoning. However, GPT-3.5 Turbo remains a highly competitive option, especially for scenarios demanding faster response times and cost-efficiency. This detailed GPT-3.5 Turbo vs DeepSeek R1 (Jan '25) 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-3.5 Turbo

OpenAI

Reasoning: 6
Coding: 1
Multimodal: 1
Long Context: 1
Blended Price / 1M tokens: $0.001
P95 Latency: 1000ms
Tokens per second: 100.48tokens/sec

DeepSeek R1 (Jan '25)

DeepSeek

Reasoning: 7
Coding: 2
Multimodal: 2
Long Context: 2
Blended Price / 1M tokens: $0.002
P95 Latency: 1000ms
Tokens per second: —

Overall Capabilities

The capability radar provides a holistic view of the GPT-3.5 Turbo vs DeepSeek R1 (Jan '25) matchup. This chart illustrates each model's strengths and weaknesses at a glance, forming a cornerstone of our GPT-3.5 Turbo vs DeepSeek R1 (Jan '25) analysis.

This radar chart visually maps the core capabilities (reasoning, coding, math proxy, multimodal, long context) of `GPT-3.5 Turbo` vs `DeepSeek R1 (Jan '25)`.

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-3.5 Turbo vs DeepSeek R1 (Jan '25) debate, GPT-3.5 Turbo scores 60 against DeepSeek R1 (Jan '25)'s 70. This data-driven approach is essential for any serious GPT-3.5 Turbo vs DeepSeek R1 (Jan '25) 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-3.5 Turbo vs DeepSeek R1 (Jan '25) decision for interactive applications. The metrics below highlight the trade-offs you should weigh before shipping to production.

Time to First Token

GPT-3.5 Turbo300ms

DeepSeek R1 (Jan '25)300ms

Tokens per Second

GPT-3.5 Turbo100.48

DeepSeek R1 (Jan '25)55

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The Economics of GPT-3.5 Turbo vs DeepSeek R1 (Jan '25)

Power is only one part of the equation. This GPT-3.5 Turbo vs DeepSeek R1 (Jan '25) 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-3.5 Turbo would cost $0.001, whereas DeepSeek R1 (Jan '25) would cost $0.002. This practical calculation is vital for any developer considering the GPT-3.5 Turbo vs DeepSeek R1 (Jan '25) choice.

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