The AI arena is free today

Open Superagent

DeepSeek R1 Zero vs GPT-3.5 Turbo

DeepSeek R1 Zero significantly outperforms across most benchmarks.

DeepSeek · OpenAI · Updated for 2026

Which is better?

DeepSeek R1 Zero outperforms in 1 benchmarks (GPQA), while GPT-3.5 Turbo is better at 0 benchmarks. DeepSeek R1 Zero significantly outperforms across most benchmarks.

Based on current benchmark, pricing, and model metadata for 2026.

Choose DeepSeek R1 Zero

  • you want the strongest raw capability — it leads on 1 of 1 shared benchmarks
  • you want the most recent training data — it shipped Jan 2025
  • you need open weights you can self-host or fine-tune

Choose GPT-3.5 Turbo

  • you want predictable pricing at $0.50/M input and $1.50/M output

At a glance

The differences that matter most.

Benchmark wins
1 of 1
0 of 1
Input price
— / M
$0.50 / M
Output price
— / M
$1.50 / M
Context window
16,385
Released
Jan 2025
Mar 2023
License
MIT
Proprietary

Performance Benchmarks

Comparative analysis across standard metrics

1 benchmarks

DeepSeek R1 Zero outperforms in 1 benchmarks (GPQA), while GPT-3.5 Turbo is better at 0 benchmarks.

DeepSeek R1 Zero significantly outperforms across most benchmarks.

Thu Aug 27 2026 • llm-stats.com

Arena Performance

Playground indexes and blind preference scores

Context Window

Maximum input and output token capacity

Only GPT-3.5 Turbo specifies input context (16,385 tokens). Only GPT-3.5 Turbo specifies output context (4,096 tokens).

DeepSeek
DeepSeek R1 Zero
Input- tokens
Output- tokens
OpenAI
GPT-3.5 Turbo
Input16,385 tokens
Output4,096 tokens
Thu Aug 27 2026 • llm-stats.com

License

Usage and distribution terms

DeepSeek R1 Zero is licensed under MIT, while GPT-3.5 Turbo uses a proprietary license.

License differences may affect how you can use these models in commercial or open-source projects.

DeepSeek R1 Zero

MIT

Open weights

GPT-3.5 Turbo

Proprietary

Closed source

Release Timeline

When each model was launched

DeepSeek R1 Zero was released on 2025-01-20, while GPT-3.5 Turbo was released on 2023-03-21.

DeepSeek R1 Zero is 22 months newer than GPT-3.5 Turbo.

DeepSeek R1 Zero

Jan 20, 2025

1.6 years ago

1.8yr newer
GPT-3.5 Turbo

Mar 21, 2023

3.4 years ago

Knowledge Cutoff

When training data ends

GPT-3.5 Turbo has a documented knowledge cutoff of 2021-09-30, while DeepSeek R1 Zero's cutoff date is not specified.

We can confirm GPT-3.5 Turbo's training data extends to 2021-09-30, but cannot make a direct comparison without DeepSeek R1 Zero's cutoff date.

DeepSeek R1 Zero

GPT-3.5 Turbo

Sep 2021

Outputs Comparison

Notice missing or incorrect data?Start an Issue discussion

Judge for yourself.

Run your own prompts against DeepSeek R1 Zero and GPT-3.5 Turbo side-by-side, then vote on the output you prefer.

DeepSeek R1 Zero
✓ Preferred
GPT-3.5 Turbo
Open in Playground

FAQ

Common questions about DeepSeek R1 Zero vs GPT-3.5 Turbo.

Which is better, DeepSeek R1 Zero or GPT-3.5 Turbo?

DeepSeek R1 Zero significantly outperforms across most benchmarks. DeepSeek R1 Zero is made by DeepSeek and GPT-3.5 Turbo is made by OpenAI. The best choice depends on your use case — compare their benchmark scores, pricing, and capabilities above.

How does DeepSeek R1 Zero compare to GPT-3.5 Turbo in benchmarks?

DeepSeek R1 Zero scores MATH-500: 95.9%, AIME 2024: 86.7%, GPQA: 73.3%, LiveCodeBench: 50.0%. GPT-3.5 Turbo scores DROP: 70.2%, MMLU: 69.8%, HumanEval: 68.0%, MGSM: 56.3%, MATH: 43.1%.

What are the context window sizes for DeepSeek R1 Zero and GPT-3.5 Turbo?

DeepSeek R1 Zero supports an unknown number of tokens and GPT-3.5 Turbo supports 16K tokens. A larger context window lets you process longer documents, conversations, or codebases in a single request.

What are the main differences between DeepSeek R1 Zero and GPT-3.5 Turbo?

Key differences include licensing (MIT vs Proprietary). See the full comparison above for benchmark-by-benchmark results.

Who makes DeepSeek R1 Zero and GPT-3.5 Turbo?

DeepSeek R1 Zero is developed by DeepSeek and GPT-3.5 Turbo is developed by OpenAI.