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DeepSeek R1 Zero vs GPT-6.1 Sol

GPT-6.1 Sol leads the LLM Stats Score 52.0 to 16.0.

DeepSeek · OpenAI · Updated for 2026

Which is better?

GPT-6.1 Sol leads the overall LLM Stats Score 52.0 to 16.0, ranking #11 overall.

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

Choose DeepSeek R1 Zero

  • you need open weights you can self-host or fine-tune

Choose GPT-6.1 Sol

  • overall performance matters — it scores 52.0 and ranks #11 on LLM Stats
  • your work emphasizes reasoning and coding — it leads those capability indexes
  • you want the most recent training data — it shipped Sep 2026

At a glance

The differences that matter most.

DeepSeek R1 Zero
DeepSeek
GPT-6.1 Sol
OpenAI
Core performance indexes
LLM Stats Score
16.0
#234
52.0
#11
Reasoning
16.3
#224
42.2
#50
Coding
4.3
#217
38.4
#19
Cost, coverage & limits
Benchmark wins
—
—
Input price
— / M
$2.00 / M
Output price
— / M
$10.00 / M
Context window
—
1,050,000

Individual benchmarks

4 reported for DeepSeek R1 Zero · 10 for GPT-6.1 Sol

No common benchmarks found

DeepSeek R1 Zero and GPT-6.1 Soldon't have any common benchmark datasets to compare. They may have been evaluated on different testing suites.

Human preference

Blind head-to-head votes and playground preference scores

Context Window

Maximum input and output token capacity

Only GPT-6.1 Sol specifies input context (1,050,000 tokens). Only GPT-6.1 Sol specifies output context (128,000 tokens).

DeepSeek
DeepSeek R1 Zero
Input- tokens
Output- tokens
OpenAI
GPT-6.1 Sol
Input1,050,000 tokens
Output128,000 tokens
Tue Sep 29 2026 • llm-stats.com

Input capabilities

Documented input modalities across available providers

GPT-6.1 Sol supports multimodal inputs, whereas DeepSeek R1 Zero does not.

GPT-6.1 Sol can handle both text and other forms of data like images, making it suitable for multimodal applications.

DeepSeek R1 Zero

Text
Images
Audio
Video

GPT-6.1 Sol

Text
Images
Audio
Video

License

Usage and distribution terms

DeepSeek R1 Zero is licensed under MIT, while GPT-6.1 Sol 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-6.1 Sol

Proprietary

Closed source

Release Timeline

When each model was launched

DeepSeek R1 Zero was released on 2025-01-20, while GPT-6.1 Sol was released on 2026-09-29.

GPT-6.1 Sol is 21 months newer than DeepSeek R1 Zero.

DeepSeek R1 Zero

Jan 20, 2025

1.7 years ago

GPT-6.1 Sol

Sep 29, 2026

0 days ago

1.7yr newer

Knowledge Cutoff

When training data ends

GPT-6.1 Sol has a documented knowledge cutoff of 2026-04-30, while DeepSeek R1 Zero's cutoff date is not specified.

We can confirm GPT-6.1 Sol's training data extends to 2026-04-30, but cannot make a direct comparison without DeepSeek R1 Zero's cutoff date.

DeepSeek R1 Zero

—

GPT-6.1 Sol

Apr 2026

Outputs Comparison

Notice missing or incorrect data?

Judge for yourself.

Run your own prompts against DeepSeek R1 Zero and GPT-6.1 Sol side-by-side, then vote on the output you prefer.

DeepSeek R1 Zero
✓ Preferred
GPT-6.1 Sol
Open in Playground

FAQ

Common questions about DeepSeek R1 Zero vs GPT-6.1 Sol.

Which is better, DeepSeek R1 Zero or GPT-6.1 Sol?

GPT-6.1 Sol leads the LLM Stats Score 52.0 to 16.0. DeepSeek R1 Zero is made by DeepSeek and GPT-6.1 Sol 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-6.1 Sol in benchmarks?

DeepSeek R1 Zero scores MATH-500: 95.9%, AIME 2024: 86.7%, GPQA: 73.3%, LiveCodeBench: 50.0%. GPT-6.1 Sol scores HealthBench Consensus: 96.0%, DeepSWE 1.1: 75.2%, OSWorld 2.0: 71.4%, HealthBench Professional: 64.2%, HealthBench: 58.5%.

What are the context window sizes for DeepSeek R1 Zero and GPT-6.1 Sol?

DeepSeek R1 Zero supports an unknown number of tokens and GPT-6.1 Sol supports 1.1M 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-6.1 Sol?

Key differences include LLM Stats Score (16.0 vs 52.0), multimodal support (no vs yes), licensing (MIT vs Proprietary). See the full comparison above for benchmark-by-benchmark results.

Who makes DeepSeek R1 Zero and GPT-6.1 Sol?

DeepSeek R1 Zero is developed by DeepSeek and GPT-6.1 Sol is developed by OpenAI.

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