Model Comparison

DeepSeek VL2 vs GPT OSS 20B

Comparing DeepSeek VL2 and GPT OSS 20B across benchmarks, pricing, and capabilities.

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Performance Benchmarks

Comparative analysis across standard metrics

No common benchmarks found

DeepSeek VL2 and GPT OSS 20B don't have any common benchmark datasets to compare. They may have been evaluated on different testing suites.

Arena Performance

Human preference votes

Model Size

Parameter count comparison

6.1B diff

DeepSeek VL2 has 6.1B more parameters than GPT OSS 20B, making it 29.2% larger.

DeepSeek
DeepSeek VL2
27.0Bparameters
OpenAI
GPT OSS 20B
20.9Bparameters
27.0B
DeepSeek VL2
20.9B
GPT OSS 20B

Context Window

Maximum input and output token capacity

GPT OSS 20B accepts 131,072 input tokens compared to DeepSeek VL2's 129,280 tokens. DeepSeek VL2 can generate longer responses up to 129,280 tokens, while GPT OSS 20B is limited to 32,768 tokens.

DeepSeek
DeepSeek VL2
Input129,280 tokens
Output129,280 tokens
OpenAI
GPT OSS 20B
Input131,072 tokens
Output32,768 tokens
Sat May 02 2026 • llm-stats.com

Input Capabilities

Supported data types and modalities

DeepSeek VL2 supports multimodal inputs, whereas GPT OSS 20B does not.

DeepSeek VL2 can handle both text and other forms of data like images, making it suitable for multimodal applications.

DeepSeek VL2

Text
Images
Audio
Video

GPT OSS 20B

Text
Images
Audio
Video

License

Usage and distribution terms

DeepSeek VL2 is licensed under deepseek, while GPT OSS 20B uses Apache 2.0.

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

DeepSeek VL2

deepseek

Open weights

GPT OSS 20B

Apache 2.0

Open weights

Release Timeline

When each model was launched

DeepSeek VL2 was released on 2024-12-13, while GPT OSS 20B was released on 2025-08-05.

GPT OSS 20B is 8 months newer than DeepSeek VL2.

DeepSeek VL2

Dec 13, 2024

1.4 years ago

GPT OSS 20B

Aug 5, 2025

9 months ago

7mo 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 OSS 20B is available from Novita, Fireworks, Groq, OpenAI.

DeepSeek VL2

replicate logo
Replicate

GPT OSS 20B

novita logo
Novita
Input Price:Input: $0.05/1MOutput Price:Output: $0.20/1M
fireworks logo
Fireworks
Input Price:Input: $0.10/1MOutput Price:Output: $0.50/1M
groq logo
Groq
Input Price:Input: $0.10/1MOutput Price:Output: $0.50/1M
openai logo
OpenAI
Input Price:Input: $0.10/1MOutput Price:Output: $0.50/1M
* Prices shown are per million tokens

Outputs Comparison

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Key Takeaways

DeepSeek
Supports multimodal inputs
OpenAI
Larger context window (131,072 tokens)

Detailed Comparison

AI Model Comparison Table
Feature
DeepSeek
DeepSeek VL2
OpenAI
GPT OSS 20B

FAQ

Common questions about DeepSeek VL2 vs GPT OSS 20B.

Which is better, DeepSeek VL2 or GPT OSS 20B?

DeepSeek VL2 (DeepSeek) and GPT OSS 20B (OpenAI) each have strengths in different areas. Compare their benchmark scores, pricing, context windows, and capabilities above to determine which fits your needs.

How does DeepSeek VL2 compare to GPT OSS 20B in benchmarks?

DeepSeek VL2 scores DocVQA: 93.3%, ChartQA: 86.0%, TextVQA: 84.2%, AI2D: 81.4%, OCRBench: 81.1%. GPT OSS 20B scores MMLU: 85.3%, CodeForces: 74.3%, GPQA: 71.5%, TAU-bench Retail: 54.8%, HealthBench: 42.5%.

What are the context window sizes for DeepSeek VL2 and GPT OSS 20B?

DeepSeek VL2 supports 129K tokens and GPT OSS 20B supports 131K 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 OSS 20B?

Key differences include context window (129K vs 131K), multimodal support (yes vs no), licensing (deepseek vs Apache 2.0). See the full comparison above for benchmark-by-benchmark results.

Who makes DeepSeek VL2 and GPT OSS 20B?

DeepSeek VL2 is developed by DeepSeek and GPT OSS 20B is developed by OpenAI.