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DeepSeek R1 Zero vs GPT-4 Turbo

DeepSeek R1 Zero leads the LLM Stats Score 16.2 to 9.2.

DeepSeek · OpenAI · Updated for 2026

Which is better?

DeepSeek R1 Zero leads the overall LLM Stats Score 16.2 to 9.2, ranking #209 overall.

In the 1 individual benchmarks reported for both models, DeepSeek R1 Zero wins 1; this is a narrower head-to-head signal than the composite indexes.

Based on current LLM Stats indexes, shared benchmarks, pricing, and model metadata for 2026.

Choose DeepSeek R1 Zero

  • overall performance matters — it scores 16.2 and ranks #209 on LLM Stats
  • your work emphasizes reasoning — it leads those capability indexes
  • you value its reported benchmark strengths — it wins 1 of 1 exact shared results
  • you want the most recent training data — it shipped Jan 2025
  • you need open weights you can self-host or fine-tune

Choose GPT-4 Turbo

  • you want predictable pricing at $10.00/M input and $30.00/M output

At a glance

The differences that matter most.

Core performance indexes
16.2
#209
9.2
#257
16.5
#201
9.3
#250
4.4
#197
7.3
#175
Cost, coverage & limits
Benchmark wins
1 of 1
0 of 1
Input price
— / M
$10.00 / M
Output price
— / M
$30.00 / M
Context window
128,000

Capability indexes

Additional strengths measured across groups of related public benchmarks

1 shared
Index
DeepSeek R1 Zero
GPT-4 Turbo
17.7#186
17.4#188
Conservative TrueSkill rating · higher is betterHow scores work

Individual benchmarks

4 reported for DeepSeek R1 Zero · 6 for GPT-4 Turbo

1 shared

DeepSeek R1 Zero outperforms in 1 benchmarks (GPQA), while GPT-4 Turbo is better at 0 benchmarks.

DeepSeek R1 Zero significantly outperforms across most benchmarks.

Wed Sep 02 2026 • llm-stats.com

Human preference

Blind head-to-head votes and playground preference scores

Context Window

Maximum input and output token capacity

Only GPT-4 Turbo specifies input context (128,000 tokens). Only GPT-4 Turbo specifies output context (4,096 tokens).

DeepSeek
DeepSeek R1 Zero
Input- tokens
Output- tokens
OpenAI
GPT-4 Turbo
Input128,000 tokens
Output4,096 tokens
Wed Sep 02 2026 • llm-stats.com

License

Usage and distribution terms

DeepSeek R1 Zero is licensed under MIT, while GPT-4 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-4 Turbo

Proprietary

Closed source

Release Timeline

When each model was launched

DeepSeek R1 Zero was released on 2025-01-20, while GPT-4 Turbo was released on 2024-04-09.

DeepSeek R1 Zero is 10 months newer than GPT-4 Turbo.

DeepSeek R1 Zero

Jan 20, 2025

1.6 years ago

9mo newer
GPT-4 Turbo

Apr 9, 2024

2.4 years ago

Knowledge Cutoff

When training data ends

GPT-4 Turbo has a documented knowledge cutoff of 2023-12-31, while DeepSeek R1 Zero's cutoff date is not specified.

We can confirm GPT-4 Turbo's training data extends to 2023-12-31, but cannot make a direct comparison without DeepSeek R1 Zero's cutoff date.

DeepSeek R1 Zero

GPT-4 Turbo

Dec 2023

Outputs Comparison

Notice missing or incorrect data?Start an Issue discussion

Judge for yourself.

Run your own prompts against DeepSeek R1 Zero and GPT-4 Turbo side-by-side, then vote on the output you prefer.

DeepSeek R1 Zero
✓ Preferred
GPT-4 Turbo
Open in Playground

FAQ

Common questions about DeepSeek R1 Zero vs GPT-4 Turbo.

Which is better, DeepSeek R1 Zero or GPT-4 Turbo?

DeepSeek R1 Zero leads the LLM Stats Score 16.2 to 9.2. DeepSeek R1 Zero is made by DeepSeek and GPT-4 Turbo is made by OpenAI. The best choice depends on your use case — compare their capability indexes, individual benchmarks, pricing, and limits above.

How does DeepSeek R1 Zero compare to GPT-4 Turbo in benchmarks?

DeepSeek R1 Zero scores MATH-500: 95.9%, AIME 2024: 86.7%, GPQA: 73.3%, LiveCodeBench: 50.0%. GPT-4 Turbo scores MGSM: 88.5%, HumanEval: 87.1%, MMLU: 86.5%, DROP: 86.0%, MATH: 72.6%.

What are the context window sizes for DeepSeek R1 Zero and GPT-4 Turbo?

DeepSeek R1 Zero supports an unknown number of tokens and GPT-4 Turbo supports 128K 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-4 Turbo?

Key differences include LLM Stats Score (16.2 vs 9.2), licensing (MIT vs Proprietary). See the full comparison above for benchmark-by-benchmark results.

Who makes DeepSeek R1 Zero and GPT-4 Turbo?

DeepSeek R1 Zero is developed by DeepSeek and GPT-4 Turbo is developed by OpenAI.