GPT OSS 20B vs Qwen2 7B Instruct Comparison

Comparing GPT OSS 20B and Qwen2 7B Instruct across benchmarks, pricing, and capabilities.

Performance Benchmarks

Comparative analysis across standard metrics

2 benchmarks

GPT OSS 20B outperforms in 2 benchmarks (GPQA, MMLU), while Qwen2 7B Instruct is better at 0 benchmarks.

GPT OSS 20B significantly outperforms across most benchmarks.

Sat Mar 14 2026 • llm-stats.com

Arena Performance

Human preference votes

Pricing Analysis

Price comparison per million tokens

Cost data unavailable.

Lowest available price from all providers
Sat Mar 14 2026 • llm-stats.com
OpenAI
GPT OSS 20B
Input tokens$0.05
Output tokens$0.20
Best providerNovita
Alibaba Cloud / Qwen Team
Qwen2 7B Instruct
Input tokens$0.00
Output tokens$0.00
Best providerUnknown Organization
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Model Size

Parameter count comparison

13.3B diff

GPT OSS 20B has 13.3B more parameters than Qwen2 7B Instruct, making it 174.3% larger.

OpenAI
GPT OSS 20B
20.9Bparameters
Alibaba Cloud / Qwen Team
Qwen2 7B Instruct
7.6Bparameters
20.9B
GPT OSS 20B
7.6B
Qwen2 7B Instruct

Context Window

Maximum input and output token capacity

Only GPT OSS 20B specifies input context (131,072 tokens). Only GPT OSS 20B specifies output context (32,768 tokens).

OpenAI
GPT OSS 20B
Input131,072 tokens
Output32,768 tokens
Alibaba Cloud / Qwen Team
Qwen2 7B Instruct
Input- tokens
Output- tokens
Sat Mar 14 2026 • llm-stats.com

License

Usage and distribution terms

Both models are licensed under Apache 2.0.

Both models share the same licensing terms, providing consistent usage rights.

GPT OSS 20B

Apache 2.0

Open weights

Qwen2 7B Instruct

Apache 2.0

Open weights

Release Timeline

When each model was launched

GPT OSS 20B was released on 2025-08-05, while Qwen2 7B Instruct was released on 2024-07-23.

GPT OSS 20B is 13 months newer than Qwen2 7B Instruct.

GPT OSS 20B

Aug 5, 2025

7 months ago

1.0yr newer
Qwen2 7B Instruct

Jul 23, 2024

1.6 years 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

Outputs Comparison

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Key Takeaways

Larger context window (131,072 tokens)
Higher GPQA score (71.5% vs 25.3%)
Higher MMLU score (85.3% vs 70.5%)
Alibaba Cloud / Qwen Team

Qwen2 7B Instruct

View details

Alibaba Cloud / Qwen Team

Detailed Comparison

AI Model Comparison Table
Feature
OpenAI
GPT OSS 20B
Alibaba Cloud / Qwen Team
Qwen2 7B Instruct