DeepSeek VL2 Small vs GPT-5.1 Codex High Comparison
Comparing DeepSeek VL2 Small and GPT-5.1 Codex High across benchmarks, pricing, and capabilities.
Performance Benchmarks
Comparative analysis across standard metrics
DeepSeek VL2 Small and GPT-5.1 Codex High don't have any common benchmark datasets to compare. They may have been evaluated on different testing suites.
Arena Performance
Human preference votes
Pricing Analysis
Price comparison per million tokens
Cost data unavailable.
Context Window
Maximum input and output token capacity
Only GPT-5.1 Codex High specifies input context (400,000 tokens). Only GPT-5.1 Codex High specifies output context (128,000 tokens).
Input Capabilities
Supported data types and modalities
Both DeepSeek VL2 Small and GPT-5.1 Codex High support multimodal inputs.
They are both capable of processing various types of data, offering versatility in application.
DeepSeek VL2 Small
GPT-5.1 Codex High
License
Usage and distribution terms
DeepSeek VL2 Small is licensed under deepseek, while GPT-5.1 Codex High uses a proprietary license.
License differences may affect how you can use these models in commercial or open-source projects.
deepseek
Open weights
Proprietary
Closed source
Release Timeline
When each model was launched
DeepSeek VL2 Small was released on 2024-12-13, while GPT-5.1 Codex High was released on 2025-11-12.
GPT-5.1 Codex High is 11 months newer than DeepSeek VL2 Small.
Dec 13, 2024
1.2 years ago
Nov 12, 2025
4 months ago
11mo newerKnowledge Cutoff
When training data ends
Neither model specifies a knowledge cutoff date.
Unable to compare the recency of their training data.
Outputs Comparison
Key Takeaways
DeepSeek VL2 Small
View detailsDeepSeek
Detailed Comparison
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