Model Comparison

DeepSeek-V3.2 (Non-thinking) vs GPT OSS 20B

Comparing DeepSeek-V3.2 (Non-thinking) 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-V3.2 (Non-thinking) 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

Pricing Analysis

Price comparison per million tokens

GPT OSS 20B costs less

For input processing, DeepSeek-V3.2 (Non-thinking) ($0.28/1M tokens) is 5.6x more expensive than GPT OSS 20B ($0.05/1M tokens).

For output processing, DeepSeek-V3.2 (Non-thinking) ($0.42/1M tokens) is 2.1x more expensive than GPT OSS 20B ($0.20/1M tokens).

In conclusion, DeepSeek-V3.2 (Non-thinking) is more expensive than GPT OSS 20B.*

* Using a 3:1 ratio of input to output tokens

Lowest available price from all providers
Thu Jun 04 2026 • llm-stats.com
DeepSeek
DeepSeek-V3.2 (Non-thinking)
Input tokens$0.28
Output tokens$0.42
Best providerDeepSeek
OpenAI
GPT OSS 20B
Input tokens$0.05
Output tokens$0.20
Best providerNovita
Notice missing or incorrect data?Start an Issue→

Model Size

Parameter count comparison

664.1B diff

DeepSeek-V3.2 (Non-thinking) has 664.1B more parameters than GPT OSS 20B, making it 3177.5% larger.

DeepSeek
DeepSeek-V3.2 (Non-thinking)
685.0Bparameters
OpenAI
GPT OSS 20B
20.9Bparameters
685.0B
DeepSeek-V3.2 (Non-thinking)
20.9B
GPT OSS 20B

Context Window

Maximum input and output token capacity

Both models have the same input context window of 131,072 tokens. GPT OSS 20B can generate longer responses up to 32,768 tokens, while DeepSeek-V3.2 (Non-thinking) is limited to 8,192 tokens.

DeepSeek
DeepSeek-V3.2 (Non-thinking)
Input131,072 tokens
Output8,192 tokens
OpenAI
GPT OSS 20B
Input131,072 tokens
Output32,768 tokens
Thu Jun 04 2026 • llm-stats.com

License

Usage and distribution terms

DeepSeek-V3.2 (Non-thinking) is licensed under MIT, 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-V3.2 (Non-thinking)

MIT

Open weights

GPT OSS 20B

Apache 2.0

Open weights

Release Timeline

When each model was launched

DeepSeek-V3.2 (Non-thinking) was released on 2025-12-01, while GPT OSS 20B was released on 2025-08-05.

DeepSeek-V3.2 (Non-thinking) is 4 months newer than GPT OSS 20B.

DeepSeek-V3.2 (Non-thinking)

Dec 1, 2025

6 months ago

3mo newer
GPT OSS 20B

Aug 5, 2025

10 months 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-V3.2 (Non-thinking) is available from DeepSeek. GPT OSS 20B is available from Novita, Fireworks, Groq, OpenAI.

DeepSeek-V3.2 (Non-thinking)

deepseek logo
DeepSeek
Input Price:Input: $0.28/1MOutput Price:Output: $0.42/1M

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

No standout differentiators in the data we have for this pair.

OpenAI
Less expensive input tokens
Less expensive output tokens

Detailed Comparison

AI Model Comparison Table
Feature
DeepSeek
DeepSeek-V3.2 (Non-thinking)
OpenAI
GPT OSS 20B

FAQ

Common questions about DeepSeek-V3.2 (Non-thinking) vs GPT OSS 20B.

Which is better, DeepSeek-V3.2 (Non-thinking) or GPT OSS 20B?

DeepSeek-V3.2 (Non-thinking) (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-V3.2 (Non-thinking) compare to GPT OSS 20B in benchmarks?

GPT OSS 20B scores MMLU: 85.3%, CodeForces: 74.3%, GPQA: 71.5%, TAU-bench Retail: 54.8%, HealthBench: 42.5%.

Is DeepSeek-V3.2 (Non-thinking) cheaper than GPT OSS 20B?

GPT OSS 20B is 5.6x cheaper for input tokens. DeepSeek-V3.2 (Non-thinking) costs $0.28/M input and $0.42/M output via deepseek. GPT OSS 20B costs $0.05/M input and $0.20/M output via novita.

What are the context window sizes for DeepSeek-V3.2 (Non-thinking) and GPT OSS 20B?

DeepSeek-V3.2 (Non-thinking) supports 131K 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-V3.2 (Non-thinking) and GPT OSS 20B?

Key differences include input pricing ($0.28 vs $0.05/M), licensing (MIT vs Apache 2.0). See the full comparison above for benchmark-by-benchmark results.

Who makes DeepSeek-V3.2 (Non-thinking) and GPT OSS 20B?

DeepSeek-V3.2 (Non-thinking) is developed by DeepSeek and GPT OSS 20B is developed by OpenAI.