Model Comparison

DeepSeek R1 Distill Qwen 14B vs GPT OSS 120B

GPT OSS 120B significantly outperforms across most benchmarks.

Performance Benchmarks

Comparative analysis across standard metrics

1 benchmarks

DeepSeek R1 Distill Qwen 14B outperforms in 0 benchmarks, while GPT OSS 120B is better at 1 benchmark (GPQA).

GPT OSS 120B significantly outperforms across most benchmarks.

Thu May 21 2026 • llm-stats.com

Arena Performance

Human preference votes

Model Size

Parameter count comparison

102.0B diff

GPT OSS 120B has 102.0B more parameters than DeepSeek R1 Distill Qwen 14B, making it 689.2% larger.

DeepSeek
DeepSeek R1 Distill Qwen 14B
14.8Bparameters
OpenAI
GPT OSS 120B
116.8Bparameters
14.8B
DeepSeek R1 Distill Qwen 14B
116.8B
GPT OSS 120B

Context Window

Maximum input and output token capacity

Only GPT OSS 120B specifies input context (131,072 tokens). Only GPT OSS 120B specifies output context (131,072 tokens).

DeepSeek
DeepSeek R1 Distill Qwen 14B
Input- tokens
Output- tokens
OpenAI
GPT OSS 120B
Input131,072 tokens
Output131,072 tokens
Thu May 21 2026 • llm-stats.com

License

Usage and distribution terms

DeepSeek R1 Distill Qwen 14B is licensed under MIT, while GPT OSS 120B uses Apache 2.0.

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

DeepSeek R1 Distill Qwen 14B

MIT

Open weights

GPT OSS 120B

Apache 2.0

Open weights

Release Timeline

When each model was launched

DeepSeek R1 Distill Qwen 14B was released on 2025-01-20, while GPT OSS 120B was released on 2025-08-05.

GPT OSS 120B is 7 months newer than DeepSeek R1 Distill Qwen 14B.

DeepSeek R1 Distill Qwen 14B

Jan 20, 2025

1.3 years ago

GPT OSS 120B

Aug 5, 2025

9 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

Outputs Comparison

Notice missing or incorrect data?Start an Issue discussion

Key Takeaways

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

Larger context window (131,072 tokens)
Higher GPQA score (80.1% vs 59.1%)

Detailed Comparison

AI Model Comparison Table
Feature
DeepSeek
DeepSeek R1 Distill Qwen 14B
OpenAI
GPT OSS 120B

FAQ

Common questions about DeepSeek R1 Distill Qwen 14B vs GPT OSS 120B.

Which is better, DeepSeek R1 Distill Qwen 14B or GPT OSS 120B?

GPT OSS 120B significantly outperforms across most benchmarks. DeepSeek R1 Distill Qwen 14B is made by DeepSeek and GPT OSS 120B is made by OpenAI. The best choice depends on your use case — compare their benchmark scores, pricing, and capabilities above.

How does DeepSeek R1 Distill Qwen 14B compare to GPT OSS 120B in benchmarks?

DeepSeek R1 Distill Qwen 14B scores MATH-500: 93.9%, AIME 2024: 80.0%, GPQA: 59.1%, LiveCodeBench: 53.1%. GPT OSS 120B scores MMLU: 90.0%, CodeForces: 82.1%, GPQA: 80.1%, TAU-bench Retail: 67.8%, HealthBench: 57.6%.

What are the context window sizes for DeepSeek R1 Distill Qwen 14B and GPT OSS 120B?

DeepSeek R1 Distill Qwen 14B supports an unknown number of tokens and GPT OSS 120B 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 R1 Distill Qwen 14B and GPT OSS 120B?

Key differences include licensing (MIT vs Apache 2.0). See the full comparison above for benchmark-by-benchmark results.

Who makes DeepSeek R1 Distill Qwen 14B and GPT OSS 120B?

DeepSeek R1 Distill Qwen 14B is developed by DeepSeek and GPT OSS 120B is developed by OpenAI.