Model Comparison

DeepSeek R1 Distill Qwen 32B vs GPT OSS 20B High

GPT OSS 20B High significantly outperforms across most benchmarks. DeepSeek R1 Distill Qwen 32B is 1.5x cheaper per token.

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Performance Benchmarks

Comparative analysis across standard metrics

1 benchmarks

DeepSeek R1 Distill Qwen 32B outperforms in 0 benchmarks, while GPT OSS 20B High is better at 1 benchmark (GPQA).

GPT OSS 20B High significantly outperforms across most benchmarks.

Wed Apr 15 2026 • llm-stats.com

Arena Performance

Human preference votes

Pricing Analysis

Price comparison per million tokens

DeepSeek R1 Distill Qwen 32B costs less

For input processing, DeepSeek R1 Distill Qwen 32B ($0.12/1M tokens) is 1.2x more expensive than GPT OSS 20B High ($0.10/1M tokens).

For output processing, DeepSeek R1 Distill Qwen 32B ($0.18/1M tokens) is 2.8x cheaper than GPT OSS 20B High ($0.50/1M tokens).

In conclusion, GPT OSS 20B High is more expensive than DeepSeek R1 Distill Qwen 32B.*

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

Lowest available price from all providers
Wed Apr 15 2026 • llm-stats.com
DeepSeek
DeepSeek R1 Distill Qwen 32B
Input tokens$0.12
Output tokens$0.18
Best providerDeepinfra
OpenAI
GPT OSS 20B High
Input tokens$0.10
Output tokens$0.50
Best providerOpenAI
Notice missing or incorrect data?Start an Issue→

Model Size

Parameter count comparison

11.9B diff

DeepSeek R1 Distill Qwen 32B has 11.9B more parameters than GPT OSS 20B High, making it 56.9% larger.

DeepSeek
DeepSeek R1 Distill Qwen 32B
32.8Bparameters
OpenAI
GPT OSS 20B High
20.9Bparameters
32.8B
DeepSeek R1 Distill Qwen 32B
20.9B
GPT OSS 20B High

Context Window

Maximum input and output token capacity

GPT OSS 20B High accepts 131,072 input tokens compared to DeepSeek R1 Distill Qwen 32B's 128,000 tokens. GPT OSS 20B High can generate longer responses up to 131,072 tokens, while DeepSeek R1 Distill Qwen 32B is limited to 128,000 tokens.

DeepSeek
DeepSeek R1 Distill Qwen 32B
Input128,000 tokens
Output128,000 tokens
OpenAI
GPT OSS 20B High
Input131,072 tokens
Output131,072 tokens
Wed Apr 15 2026 • llm-stats.com

License

Usage and distribution terms

DeepSeek R1 Distill Qwen 32B is licensed under MIT, while GPT OSS 20B High uses Apache 2.0.

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

DeepSeek R1 Distill Qwen 32B

MIT

Open weights

GPT OSS 20B High

Apache 2.0

Open weights

Release Timeline

When each model was launched

DeepSeek R1 Distill Qwen 32B was released on 2025-01-20, while GPT OSS 20B High was released on 2025-08-05.

GPT OSS 20B High is 7 months newer than DeepSeek R1 Distill Qwen 32B.

DeepSeek R1 Distill Qwen 32B

Jan 20, 2025

1.2 years ago

GPT OSS 20B High

Aug 5, 2025

8 months ago

6mo 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 R1 Distill Qwen 32B is available from DeepInfra. GPT OSS 20B High is available from OpenAI.

DeepSeek R1 Distill Qwen 32B

deepinfra logo
Deepinfra
Input Price:Input: $0.12/1MOutput Price:Output: $0.18/1M

GPT OSS 20B High

openai logo
OpenAI
Input Price:Input: $0.10/1MOutput Price:Output: $0.50/1M
* Prices shown are per million tokens

Outputs Comparison

Notice missing or incorrect data?Start an Issue discussion→

Key Takeaways

DeepSeek
Less expensive output tokens
OpenAI
Larger context window (131,072 tokens)
Less expensive input tokens
Higher GPQA score (74.2% vs 62.1%)

Detailed Comparison

AI Model Comparison Table
Feature
DeepSeek
DeepSeek R1 Distill Qwen 32B
OpenAI
GPT OSS 20B High

FAQ

Common questions about DeepSeek R1 Distill Qwen 32B vs GPT OSS 20B High

GPT OSS 20B High significantly outperforms across most benchmarks. DeepSeek R1 Distill Qwen 32B is made by DeepSeek and GPT OSS 20B High is made by OpenAI. The best choice depends on your use case — compare their benchmark scores, pricing, and capabilities above.
DeepSeek R1 Distill Qwen 32B scores MATH-500: 94.3%, AIME 2024: 83.3%, GPQA: 62.1%, LiveCodeBench: 57.2%. GPT OSS 20B High scores AIME 2025: 98.7%, GPQA: 74.2%.
GPT OSS 20B High is 1.2x cheaper for input tokens. DeepSeek R1 Distill Qwen 32B costs $0.12/M input and $0.18/M output via deepinfra. GPT OSS 20B High costs $0.10/M input and $0.50/M output via openai.
DeepSeek R1 Distill Qwen 32B supports 128K tokens and GPT OSS 20B High supports 131K tokens. A larger context window lets you process longer documents, conversations, or codebases in a single request.
Key differences include context window (128K vs 131K), input pricing ($0.12 vs $0.10/M), licensing (MIT vs Apache 2.0). See the full comparison above for benchmark-by-benchmark results.
DeepSeek R1 Distill Qwen 32B is developed by DeepSeek and GPT OSS 20B High is developed by OpenAI.