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DeepSeek VL2 vs GPT-6 Astra

GPT-6 Astra leads the LLM Stats Score 60.7 to 3.1.

DeepSeek · OpenAI · Updated for 2026

Which is better?

GPT-6 Astra leads the overall LLM Stats Score 60.7 to 3.1, ranking #1 overall.

GPT-6 Astra also accepts a larger context window (1,050,000 input tokens), making it the stronger choice for long documents and large codebases.

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

Choose DeepSeek VL2

  • 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 — it leads those capability indexes
  • you process long inputs — it offers a 1,050,000 token context window
  • you want the most recent training data — it shipped Sep 2026

At a glance

The differences that matter most.

DeepSeek VL2
DeepSeek
GPT-6 Astra
OpenAI
Core performance indexes
LLM Stats Score
3.1
#299
60.7
#1
Reasoning
-1.5
#316
58.7
#1
Cost, coverage & limits
Benchmark wins
—
—
Input price
— / M
$10.00 / M
Output price
— / M
$50.00 / M
Context window
129,280
1,050,000

Capability indexes

Additional strengths measured across groups of related public benchmarks

2 shared
Index
DeepSeek VL2
GPT-6 Astra
Vision
2.7#163
41.5#1
Multimodal
5.7#133
38.6#3
Conservative TrueSkill rating · higher is betterHow scores work

Individual benchmarks

14 reported for DeepSeek VL2 · 22 for GPT-6 Astra

No common benchmarks found

DeepSeek VL2 and GPT-6 Astradon'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

GPT-6 Astra accepts 1,050,000 input tokens compared to DeepSeek VL2's 129,280 tokens. DeepSeek VL2 can generate longer responses up to 129,280 tokens, while GPT-6 Astra is limited to 128,000 tokens.

DeepSeek
DeepSeek VL2
Input129,280 tokens
Output129,280 tokens
OpenAI
GPT-6 Astra
Input1,050,000 tokens
Output128,000 tokens
Sat Sep 05 2026 • llm-stats.com

Input capabilities

Documented input modalities across available providers

Both DeepSeek VL2 and GPT-6 Astra support multimodal inputs.

They are both capable of processing various types of data, offering versatility in application.

DeepSeek VL2

Text
Images
Audio
Video

GPT-6 Astra

Text
Images
Audio
Video

License

Usage and distribution terms

DeepSeek VL2 is licensed under deepseek, 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 VL2

deepseek

Open weights

GPT-6 Astra

Proprietary

Closed source

Release Timeline

When each model was launched

DeepSeek VL2 was released on 2024-12-13, while GPT-6 Astra was released on 2026-09-04.

GPT-6 Astra is 21 months newer than DeepSeek VL2.

DeepSeek VL2

Dec 13, 2024

1.7 years ago

GPT-6 Astra

Sep 4, 2026

1 days ago

1.7yr newer

Knowledge Cutoff

When training data ends

GPT-6 Astra has a documented knowledge cutoff of 2026-04-30, while DeepSeek VL2'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 VL2's cutoff date.

DeepSeek VL2

—

GPT-6 Astra

Apr 2026

Provider Availability

DeepSeek VL2 is available from Replicate. GPT-6 Astra is available from OpenAI.

DeepSeek VL2

replicate logo
Replicate

GPT-6 Astra

openai logo
OpenAI
Input Price:Input: $10.00/1MOutput Price:Output: $50.00/1M
* Prices shown are per million tokens

Outputs Comparison

Notice missing or incorrect data?Start an Issue discussion→

Judge for yourself.

Run your own prompts against DeepSeek VL2 and GPT-6 Astra side-by-side, then vote on the output you prefer.

DeepSeek VL2
✓ Preferred
GPT-6 Astra
Open in Playground

FAQ

Common questions about DeepSeek VL2 vs GPT-6 Astra.

Which is better, DeepSeek VL2 or GPT-6 Astra?

GPT-6 Astra leads the LLM Stats Score 60.7 to 3.1. DeepSeek VL2 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 VL2 compare to GPT-6 Astra in benchmarks?

DeepSeek VL2 scores DocVQA: 93.3%, ChartQA: 86.0%, TextVQA: 84.2%, AI2D: 81.4%, OCRBench: 81.1%. 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 VL2 and GPT-6 Astra?

DeepSeek VL2 supports 129K 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 VL2 and GPT-6 Astra?

Key differences include LLM Stats Score (3.1 vs 60.7), context window (129K vs 1.1M), licensing (deepseek vs Proprietary). See the full comparison above for benchmark-by-benchmark results.

Who makes DeepSeek VL2 and GPT-6 Astra?

DeepSeek VL2 is developed by DeepSeek and GPT-6 Astra is developed by OpenAI.

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