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DeepSeek R1 Zero vs GPT-6 Astra

GPT-6 Astra leads the LLM Stats Score 60.7 to 16.1.

DeepSeek · OpenAI · Updated for 2026

Which is better?

GPT-6 Astra leads the overall LLM Stats Score 60.7 to 16.1, ranking #1 overall.

In the 1 individual benchmarks reported for both models, GPT-6 Astra 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

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

Choose GPT-6 Astra

  • overall performance matters — it scores 60.7 and ranks #1 on LLM Stats
  • your work emphasizes reasoning and coding — 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 Sep 2026

At a glance

The differences that matter most.

Core performance indexes
16.1
#213
60.7
#1
16.4
#204
58.7
#1
4.4
#201
49.0
#1
Cost, coverage & limits
Benchmark wins
0 of 1
1 of 1
Input price
— / M
$10.00 / M
Output price
— / M
$50.00 / M
Context window
1,050,000

Capability indexes

Additional strengths measured across groups of related public benchmarks

1 shared
Index
DeepSeek R1 Zero
GPT-6 Astra
17.7#187
35.3#42
Conservative TrueSkill rating · higher is betterHow scores work

Individual benchmarks

4 reported for DeepSeek R1 Zero · 22 for GPT-6 Astra

1 shared

DeepSeek R1 Zero outperforms in 0 benchmarks, while GPT-6 Astra is better at 1 benchmark (GPQA).

GPT-6 Astra significantly outperforms across most benchmarks.

Fri Sep 04 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-6 Astra specifies input context (1,050,000 tokens). Only GPT-6 Astra specifies output context (128,000 tokens).

DeepSeek
DeepSeek R1 Zero
Input- tokens
Output- tokens
OpenAI
GPT-6 Astra
Input1,050,000 tokens
Output128,000 tokens
Fri Sep 04 2026 • llm-stats.com

Input capabilities

Documented input modalities across available providers

GPT-6 Astra supports multimodal inputs, whereas DeepSeek R1 Zero does not.

GPT-6 Astra 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 Astra

Text
Images
Audio
Video

License

Usage and distribution terms

DeepSeek R1 Zero is licensed under MIT, while GPT-6 Astra 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 Astra

Proprietary

Closed source

Release Timeline

When each model was launched

DeepSeek R1 Zero was released on 2025-01-20, while GPT-6 Astra was released on 2026-09-03.

GPT-6 Astra is 20 months newer than DeepSeek R1 Zero.

DeepSeek R1 Zero

Jan 20, 2025

1.6 years ago

GPT-6 Astra

Sep 3, 2026

0 days ago

1.6yr newer

Knowledge Cutoff

When training data ends

GPT-6 Astra has a documented knowledge cutoff of 2026-04-30, while DeepSeek R1 Zero's cutoff date is not specified.

We can confirm GPT-6 Astra'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 Astra

Apr 2026

Outputs Comparison

Notice missing or incorrect data?Start an Issue discussion

Judge for yourself.

Run your own prompts against DeepSeek R1 Zero and GPT-6 Astra side-by-side, then vote on the output you prefer.

DeepSeek R1 Zero
✓ Preferred
GPT-6 Astra
Open in Playground

FAQ

Common questions about DeepSeek R1 Zero vs GPT-6 Astra.

Which is better, DeepSeek R1 Zero or GPT-6 Astra?

GPT-6 Astra leads the LLM Stats Score 60.7 to 16.1. DeepSeek R1 Zero is made by DeepSeek and GPT-6 Astra 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 Astra in benchmarks?

DeepSeek R1 Zero scores MATH-500: 95.9%, AIME 2024: 86.7%, GPQA: 73.3%, LiveCodeBench: 50.0%. GPT-6 Astra scores ExploitBench: 100.0%, ARC-AGI-3: 99.9%, ARC-AGI: 98.5%, FrontierMath Tier 4 (v2): 97.6%, GPQA: 96.0%.

What are the context window sizes for DeepSeek R1 Zero and GPT-6 Astra?

DeepSeek R1 Zero supports an unknown number of tokens and GPT-6 Astra 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 Astra?

Key differences include LLM Stats Score (16.1 vs 60.7), 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 Astra?

DeepSeek R1 Zero is developed by DeepSeek and GPT-6 Astra is developed by OpenAI.