Model Comparison

DeepSeek VL2 vs GPT-5

GPT-5 significantly outperforms across most benchmarks.

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Performance Benchmarks

Comparative analysis across standard metrics

1 benchmarks

DeepSeek VL2 outperforms in 0 benchmarks, while GPT-5 is better at 1 benchmark (MMMU).

GPT-5 significantly outperforms across most benchmarks.

Fri May 01 2026 • llm-stats.com

Arena Performance

Human preference votes

Pricing Analysis

Price comparison per million tokens

Cost data unavailable.

Lowest available price from all providers
Fri May 01 2026 • llm-stats.com
DeepSeek
DeepSeek VL2
Input tokens$0.00
Output tokens$0.00
Best providerUnknown Organization
OpenAI
GPT-5
Input tokens$1.25
Output tokens$10.00
Best providerOpenAI
Notice missing or incorrect data?Start an Issue→

Context Window

Maximum input and output token capacity

GPT-5 accepts 400,000 input tokens compared to DeepSeek VL2's 129,280 tokens. DeepSeek VL2 can generate longer responses up to 129,280 tokens, while GPT-5 is limited to 128,000 tokens.

DeepSeek
DeepSeek VL2
Input129,280 tokens
Output129,280 tokens
OpenAI
GPT-5
Input400,000 tokens
Output128,000 tokens
Fri May 01 2026 • llm-stats.com

Input Capabilities

Supported data types and modalities

Both DeepSeek VL2 and GPT-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-5

Text
Images
Audio
Video

License

Usage and distribution terms

DeepSeek VL2 is licensed under deepseek, while GPT-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-5

Proprietary

Closed source

Release Timeline

When each model was launched

DeepSeek VL2 was released on 2024-12-13, while GPT-5 was released on 2025-08-07.

GPT-5 is 8 months newer than DeepSeek VL2.

DeepSeek VL2

Dec 13, 2024

1.4 years ago

GPT-5

Aug 7, 2025

8 months ago

7mo newer

Knowledge Cutoff

When training data ends

GPT-5 has a documented knowledge cutoff of 2024-09-30, while DeepSeek VL2's cutoff date is not specified.

We can confirm GPT-5's training data extends to 2024-09-30, but cannot make a direct comparison without DeepSeek VL2's cutoff date.

DeepSeek VL2

—

GPT-5

Sep 2024

Provider Availability

DeepSeek VL2 is available from Replicate. GPT-5 is available from OpenAI.

DeepSeek VL2

replicate logo
Replicate

GPT-5

openai logo
OpenAI
Input Price:Input: $1.25/1MOutput Price:Output: $10.00/1M
* Prices shown are per million tokens

Outputs Comparison

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Key Takeaways

DeepSeek
Has open weights
OpenAI
Larger context window (400,000 tokens)
Higher MMMU score (84.2% vs 51.1%)

Detailed Comparison

AI Model Comparison Table
Feature
DeepSeek
DeepSeek VL2
OpenAI
GPT-5

FAQ

Common questions about DeepSeek VL2 vs GPT-5

GPT-5 significantly outperforms across most benchmarks. DeepSeek VL2 is made by DeepSeek and GPT-5 is made by OpenAI. The best choice depends on your use case — compare their benchmark scores, pricing, and capabilities above.
DeepSeek VL2 scores DocVQA: 93.3%, ChartQA: 86.0%, TextVQA: 84.2%, AI2D: 81.4%, OCRBench: 81.1%. GPT-5 scores SWE-Lancer (IC-Diamond subset): 100.0%, COLLIE: 99.0%, Tau2 Telecom: 96.7%, OpenAI-MRCR: 2 needle 128k: 95.2%, AIME 2025: 94.6%.
DeepSeek VL2 supports 129K tokens and GPT-5 supports 400K tokens. A larger context window lets you process longer documents, conversations, or codebases in a single request.
Key differences include context window (129K vs 400K), licensing (deepseek vs Proprietary). See the full comparison above for benchmark-by-benchmark results.
DeepSeek VL2 is developed by DeepSeek and GPT-5 is developed by OpenAI.