Model Comparison

DeepSeek VL2 vs GPT-4.5Which is better in 2026?

GPT-4.5 significantly outperforms across most benchmarks.

Verdict: DeepSeek VL2 vs GPT-4.5 — which is better?

DeepSeek VL2 (by DeepSeek) and GPT-4.5 (by OpenAI) 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.

DeepSeek VL2 outperforms in 0 benchmarks, while GPT-4.5 is better at 2 benchmarks (MathVista, MMMU). GPT-4.5 significantly outperforms across most benchmarks.

DeepSeek VL2 also accepts a larger context window (129,280 input tokens), making it the stronger choice for long documents and large codebases.

Choose DeepSeek VL2 if…

  • you process long inputs — it offers a 129,280 token context window
  • you need open weights you can self-host or fine-tune

Choose GPT-4.5 if…

  • you want the strongest raw capability — it leads on 2 of 2 shared benchmarks
  • you want the most recent training data — it shipped Feb 2025

Performance Benchmarks

Comparative analysis across standard metrics

2 benchmarks

DeepSeek VL2 outperforms in 0 benchmarks, while GPT-4.5 is better at 2 benchmarks (MathVista, MMMU).

GPT-4.5 significantly outperforms across most benchmarks.

Wed Jul 22 2026 • llm-stats.com

Arena Performance

Human preference votes

Context Window

Maximum input and output token capacity

DeepSeek VL2 accepts 129,280 input tokens compared to GPT-4.5's 128,000 tokens. DeepSeek VL2 can generate longer responses up to 129,280 tokens, while GPT-4.5 is limited to 4,096 tokens.

DeepSeek
DeepSeek VL2
Input129,280 tokens
Output129,280 tokens
OpenAI
GPT-4.5
Input128,000 tokens
Output4,096 tokens
Wed Jul 22 2026 • llm-stats.com

Input Capabilities

Supported data types and modalities

Both DeepSeek VL2 and GPT-4.5 support multimodal inputs.

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

DeepSeek VL2

Text
Images
Audio
Video

GPT-4.5

Text
Images
Audio
Video

License

Usage and distribution terms

DeepSeek VL2 is licensed under deepseek, while GPT-4.5 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-4.5

Proprietary

Closed source

Release Timeline

When each model was launched

DeepSeek VL2 was released on 2024-12-13, while GPT-4.5 was released on 2025-02-27.

GPT-4.5 is 3 months newer than DeepSeek VL2.

DeepSeek VL2

Dec 13, 2024

1.6 years ago

GPT-4.5

Feb 27, 2025

1.4 years ago

2mo newer

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

DeepSeek VL2 is available from Replicate. GPT-4.5 is available from OpenAI.

DeepSeek VL2

replicate logo
Replicate

GPT-4.5

openai logo
OpenAI
Input Price:Input: $75.00/1MOutput Price:Output: $150.00/1M
* Prices shown are per million tokens

Outputs Comparison

Notice missing or incorrect data?Start an Issue discussion

Key Takeaways

Larger context window (129,280 tokens)
Has open weights
Higher MathVista score (72.3% vs 62.8%)
Higher MMMU score (75.2% vs 51.1%)

Detailed Comparison

Interactive Arena

Judge for yourself.

Run your own prompts against DeepSeek VL2 and GPT-4.5 side-by-side, then vote on the output you prefer.

DeepSeek VL2
✓ Preferred
GPT-4.5
Open in Playground
AI Model Comparison Table
Feature
DeepSeek
DeepSeek VL2
OpenAI
GPT-4.5

FAQ

Common questions about DeepSeek VL2 vs GPT-4.5.

Which is better, DeepSeek VL2 or GPT-4.5?

GPT-4.5 significantly outperforms across most benchmarks. DeepSeek VL2 is made by DeepSeek and GPT-4.5 is made by OpenAI. The best choice depends on your use case — compare their benchmark scores, pricing, and capabilities above.

How does DeepSeek VL2 compare to GPT-4.5 in benchmarks?

DeepSeek VL2 scores DocVQA: 93.3%, ChartQA: 86.0%, TextVQA: 84.2%, AI2D: 81.4%, OCRBench: 81.1%. GPT-4.5 scores GSM8k: 97.0%, MMLU: 90.8%, CharXiv-D: 90.0%, IFEval: 88.2%, HumanEval: 88.0%.

What are the context window sizes for DeepSeek VL2 and GPT-4.5?

DeepSeek VL2 supports 129K tokens and GPT-4.5 supports 128K 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-4.5?

Key differences include context window (129K vs 128K), licensing (deepseek vs Proprietary). See the full comparison above for benchmark-by-benchmark results.

Who makes DeepSeek VL2 and GPT-4.5?

DeepSeek VL2 is developed by DeepSeek and GPT-4.5 is developed by OpenAI.