Model Comparison

GPT-5.4 vs DeepSeek VL2Which is better in 2026?

Comparing GPT-5.4 and DeepSeek VL2 across benchmarks, pricing, and capabilities.

Verdict: GPT-5.4 vs DeepSeek VL2 — which is better?

GPT-5.4 (by OpenAI) and DeepSeek VL2 (by DeepSeek) are two of the AI models people compare most. Here is how they stack up on benchmarks, price and capabilities, and which one to pick in 2026.

GPT-5.4 also accepts a larger context window (1,000,000 input tokens), making it the stronger choice for long documents and large codebases.

Choose GPT-5.4 if…

  • you process long inputs — it offers a 1,000,000 token context window
  • you want the most recent training data — it shipped Mar 2026

Choose DeepSeek VL2 if…

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

Comparative analysis across standard metrics

No common benchmarks found

GPT-5.4 and DeepSeek VL2 don't have any common benchmark datasets to compare. They may have been evaluated on different testing suites.

Arena Performance

Human preference votes

Context Window

Maximum input and output token capacity

GPT-5.4 accepts 1,000,000 input tokens compared to DeepSeek VL2's 129,280 tokens. DeepSeek VL2 can generate longer responses up to 129,280 tokens, while GPT-5.4 is limited to 128,000 tokens.

OpenAI
GPT-5.4
Input1,000,000 tokens
Output128,000 tokens
DeepSeek
DeepSeek VL2
Input129,280 tokens
Output129,280 tokens
Sun Jun 07 2026 • llm-stats.com

Input Capabilities

Supported data types and modalities

Both GPT-5.4 and DeepSeek VL2 support multimodal inputs.

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

GPT-5.4

Text
Images
Audio
Video

DeepSeek VL2

Text
Images
Audio
Video

License

Usage and distribution terms

GPT-5.4 is licensed under a proprietary license, while DeepSeek VL2 uses deepseek.

License differences may affect how you can use these models in commercial or open-source projects.

GPT-5.4

Proprietary

Closed source

DeepSeek VL2

deepseek

Open weights

Release Timeline

When each model was launched

GPT-5.4 was released on 2026-03-05, while DeepSeek VL2 was released on 2024-12-13.

GPT-5.4 is 15 months newer than DeepSeek VL2.

GPT-5.4

Mar 5, 2026

3 months ago

1.2yr newer
DeepSeek VL2

Dec 13, 2024

1.5 years ago

Knowledge Cutoff

When training data ends

Neither model specifies a knowledge cutoff date.

Unable to compare the recency of their training data.

No cutoff dates available

Provider Availability

GPT-5.4 is available from OpenAI. DeepSeek VL2 is available from Replicate.

GPT-5.4

openai logo
OpenAI
Input Price:Input: $2.50/1MOutput Price:Output: $15.00/1M

DeepSeek VL2

replicate logo
Replicate
* Prices shown are per million tokens

Outputs Comparison

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Key Takeaways

OpenAI
Larger context window (1,000,000 tokens)
DeepSeek
Has open weights

Detailed Comparison

AI Model Comparison Table
Feature
OpenAI
GPT-5.4
DeepSeek
DeepSeek VL2

FAQ

Common questions about GPT-5.4 vs DeepSeek VL2.

Which is better, GPT-5.4 or DeepSeek VL2?

GPT-5.4 (OpenAI) and DeepSeek VL2 (DeepSeek) each have strengths in different areas. Compare their benchmark scores, pricing, context windows, and capabilities above to determine which fits your needs.

How does GPT-5.4 compare to DeepSeek VL2 in benchmarks?

GPT-5.4 scores Tau2 Telecom: 98.9%, ARC-AGI: 93.7%, Graphwalks BFS <128k: 93.0%, GPQA: 92.8%, Graphwalks parents <128k: 89.8%. DeepSeek VL2 scores DocVQA: 93.3%, ChartQA: 86.0%, TextVQA: 84.2%, AI2D: 81.4%, OCRBench: 81.1%.

What are the context window sizes for GPT-5.4 and DeepSeek VL2?

GPT-5.4 supports 1.0M tokens and DeepSeek VL2 supports 129K tokens. A larger context window lets you process longer documents, conversations, or codebases in a single request.

What are the main differences between GPT-5.4 and DeepSeek VL2?

Key differences include context window (1.0M vs 129K), licensing (Proprietary vs deepseek). See the full comparison above for benchmark-by-benchmark results.

Who makes GPT-5.4 and DeepSeek VL2?

GPT-5.4 is developed by OpenAI and DeepSeek VL2 is developed by DeepSeek.

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