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DeepSeek VL2 vs GPT-6 Luna

GPT-6 Luna leads the LLM Stats Score 44.5 to 2.9.

DeepSeek · OpenAI · Updated for 2026

Which is better?

GPT-6 Luna leads the overall LLM Stats Score 44.5 to 2.9, ranking #41 overall.

GPT-6 Luna 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 Luna

  • overall performance matters — it scores 44.5 and ranks #41 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 Luna
OpenAI
Core performance indexes
LLM Stats Score
2.9
#317
44.5
#41
Reasoning
-1.9
#335
40.0
#58
Cost, coverage & limits
Benchmark wins
—
—
Input price
— / M
$0.10 / M
Output price
— / M
$0.50 / M
Context window
129,280
1,050,000

Individual benchmarks

14 reported for DeepSeek VL2 · 5 for GPT-6 Luna

No common benchmarks found

DeepSeek VL2 and GPT-6 Lunadon'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 Luna 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 Luna is limited to 128,000 tokens.

DeepSeek
DeepSeek VL2
Input129,280 tokens
Output129,280 tokens
OpenAI
GPT-6 Luna
Input1,050,000 tokens
Output128,000 tokens
Wed Sep 23 2026 • llm-stats.com

Input capabilities

Documented input modalities across available providers

Both DeepSeek VL2 and GPT-6 Luna 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 Luna

Text
Images
Audio
Video

License

Usage and distribution terms

DeepSeek VL2 is licensed under deepseek, while GPT-6 Luna 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 Luna

Proprietary

Closed source

Release Timeline

When each model was launched

DeepSeek VL2 was released on 2024-12-13, while GPT-6 Luna was released on 2026-09-22.

GPT-6 Luna is 22 months newer than DeepSeek VL2.

DeepSeek VL2

Dec 13, 2024

1.8 years ago

GPT-6 Luna

Sep 22, 2026

0 days ago

1.8yr newer

Knowledge Cutoff

When training data ends

GPT-6 Luna has a documented knowledge cutoff of 2026-05-18, while DeepSeek VL2's cutoff date is not specified.

We can confirm GPT-6 Luna's training data extends to 2026-05-18, but cannot make a direct comparison without DeepSeek VL2's cutoff date.

DeepSeek VL2

—

GPT-6 Luna

May 2026

Provider Availability

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

DeepSeek VL2

replicate logo
Replicate

GPT-6 Luna

openai logo
OpenAI
Input Price:Input: $0.10/1MOutput Price:Output: $0.50/1M
* 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 Luna side-by-side, then vote on the output you prefer.

DeepSeek VL2
✓ Preferred
GPT-6 Luna
Open in Playground

FAQ

Common questions about DeepSeek VL2 vs GPT-6 Luna.

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

GPT-6 Luna leads the LLM Stats Score 44.5 to 2.9. DeepSeek VL2 is made by DeepSeek and GPT-6 Luna 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 Luna in benchmarks?

DeepSeek VL2 scores DocVQA: 93.3%, ChartQA: 86.0%, TextVQA: 84.2%, AI2D: 81.4%, OCRBench: 81.1%. GPT-6 Luna scores DeepSWE 1.1: 66.6%, OSWorld 2.0: 52.7%, Agents' Last Exam: 50.9%, FrontierCode 1.1: 42.4%, AutomationBench v1.0.6: 20.7%.

What are the context window sizes for DeepSeek VL2 and GPT-6 Luna?

DeepSeek VL2 supports 129K tokens and GPT-6 Luna 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 Luna?

Key differences include LLM Stats Score (2.9 vs 44.5), 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 Luna?

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

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