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DeepSeek VL2 vs GPT-4o

GPT-4o leads the LLM Stats Score 11.7 to 3.2.

DeepSeek · OpenAI · Updated for 2026

Which is better?

GPT-4o leads the overall LLM Stats Score 11.7 to 3.2, ranking #245 overall.

In the 1 individual benchmarks reported for both models, GPT-4o wins 1; this is a narrower head-to-head signal than the composite indexes.

DeepSeek VL2 also accepts a larger context window (129,280 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 process long inputs — it offers a 129,280 token context window
  • you want the most recent training data — it shipped Dec 2024
  • you need open weights you can self-host or fine-tune

Choose GPT-4o

  • overall performance matters — it scores 11.7 and ranks #245 on LLM Stats
  • your work emphasizes reasoning — it leads those capability indexes
  • you value its reported benchmark strengths — it wins 1 of 1 exact shared results

At a glance

The differences that matter most.

Core performance indexes
3.2
#298
11.7
#245
-1.5
#315
12.3
#233
Cost, coverage & limits
Benchmark wins
0 of 1
1 of 1
Input price
— / M
$2.50 / M
Output price
— / M
$10.00 / M
Context window
129,280
128,000

Individual benchmarks

14 reported for DeepSeek VL2 · 8 for GPT-4o

1 shared

DeepSeek VL2 outperforms in 0 benchmarks, while GPT-4o is better at 1 benchmark (MathVista).

GPT-4o significantly outperforms across most benchmarks.

Thu Sep 03 2026 • llm-stats.com

Human preference

Blind head-to-head votes and playground preference scores

Context Window

Maximum input and output token capacity

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

DeepSeek
DeepSeek VL2
Input129,280 tokens
Output129,280 tokens
OpenAI
GPT-4o
Input128,000 tokens
Output4,096 tokens
Thu Sep 03 2026 • llm-stats.com

Input capabilities

Documented input modalities across available providers

Both DeepSeek VL2 and GPT-4o support multimodal inputs.

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

DeepSeek VL2

Text
Images
Audio
Video

GPT-4o

Text
Images
Audio
Video

License

Usage and distribution terms

DeepSeek VL2 is licensed under deepseek, while GPT-4o 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-4o

Proprietary

Closed source

Release Timeline

When each model was launched

DeepSeek VL2 was released on 2024-12-13, while GPT-4o was released on 2024-05-13.

DeepSeek VL2 is 7 months newer than GPT-4o.

DeepSeek VL2

Dec 13, 2024

1.7 years ago

7mo newer
GPT-4o

May 13, 2024

2.3 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

DeepSeek VL2 is available from Replicate. GPT-4o is available from Azure, OpenAI.

DeepSeek VL2

replicate logo
Replicate

GPT-4o

azure logo
Azure
Input Price:Input: $2.50/1MOutput Price:Output: $10.00/1M
openai logo
OpenAI
Input Price:Input: $2.50/1MOutput Price:Output: $10.00/1M
* 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-4o side-by-side, then vote on the output you prefer.

DeepSeek VL2
✓ Preferred
GPT-4o
Open in Playground

FAQ

Common questions about DeepSeek VL2 vs GPT-4o.

Which is better, DeepSeek VL2 or GPT-4o?

GPT-4o leads the LLM Stats Score 11.7 to 3.2. DeepSeek VL2 is made by DeepSeek and GPT-4o 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-4o in benchmarks?

DeepSeek VL2 scores DocVQA: 93.3%, ChartQA: 86.0%, TextVQA: 84.2%, AI2D: 81.4%, OCRBench: 81.1%. GPT-4o scores MGSM: 90.5%, HumanEval: 90.2%, MMLU: 88.7%, DROP: 83.4%, MATH: 76.6%.

What are the context window sizes for DeepSeek VL2 and GPT-4o?

DeepSeek VL2 supports 129K tokens and GPT-4o 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-4o?

Key differences include LLM Stats Score (3.2 vs 11.7), 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-4o?

DeepSeek VL2 is developed by DeepSeek and GPT-4o is developed by OpenAI.