Model Comparison

GPT OSS 120B High vs Qwen2.5 7B Instruct

GPT OSS 120B High significantly outperforms across most benchmarks. GPT OSS 120B High is 1.5x cheaper per token.

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Performance Benchmarks

Comparative analysis across standard metrics

2 benchmarks

GPT OSS 120B High outperforms in 2 benchmarks (GPQA, MMLU-Pro), while Qwen2.5 7B Instruct is better at 0 benchmarks.

GPT OSS 120B 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

GPT OSS 120B High costs less

For input processing, GPT OSS 120B High ($0.10/1M tokens) is 3.0x cheaper than Qwen2.5 7B Instruct ($0.30/1M tokens).

For output processing, GPT OSS 120B High ($0.50/1M tokens) is 1.7x more expensive than Qwen2.5 7B Instruct ($0.30/1M tokens).

In conclusion, Qwen2.5 7B Instruct is more expensive than GPT OSS 120B High.*

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

Lowest available price from all providers
Wed Apr 15 2026 • llm-stats.com
OpenAI
GPT OSS 120B High
Input tokens$0.10
Output tokens$0.50
Best providerOpenAI
Alibaba Cloud / Qwen Team
Qwen2.5 7B Instruct
Input tokens$0.30
Output tokens$0.30
Best providerTogether
Notice missing or incorrect data?Start an Issue→

Model Size

Parameter count comparison

109.2B diff

GPT OSS 120B High has 109.2B more parameters than Qwen2.5 7B Instruct, making it 1434.8% larger.

OpenAI
GPT OSS 120B High
116.8Bparameters
Alibaba Cloud / Qwen Team
Qwen2.5 7B Instruct
7.6Bparameters
116.8B
GPT OSS 120B High
7.6B
Qwen2.5 7B Instruct

Context Window

Maximum input and output token capacity

Both models have the same input context window of 131,072 tokens. GPT OSS 120B High can generate longer responses up to 131,072 tokens, while Qwen2.5 7B Instruct is limited to 8,192 tokens.

OpenAI
GPT OSS 120B High
Input131,072 tokens
Output131,072 tokens
Alibaba Cloud / Qwen Team
Qwen2.5 7B Instruct
Input131,072 tokens
Output8,192 tokens
Wed Apr 15 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 120B High

Apache 2.0

Open weights

Qwen2.5 7B Instruct

Apache 2.0

Open weights

Release Timeline

When each model was launched

GPT OSS 120B High was released on 2025-08-05, while Qwen2.5 7B Instruct was released on 2024-09-19.

GPT OSS 120B High is 11 months newer than Qwen2.5 7B Instruct.

GPT OSS 120B High

Aug 5, 2025

8 months ago

10mo newer
Qwen2.5 7B Instruct

Sep 19, 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

Provider Availability

GPT OSS 120B High is available from OpenAI. Qwen2.5 7B Instruct is available from Together.

GPT OSS 120B High

openai logo
OpenAI
Input Price:Input: $0.10/1MOutput Price:Output: $0.50/1M

Qwen2.5 7B Instruct

together logo
Together
Input Price:Input: $0.30/1MOutput Price:Output: $0.30/1M
* Prices shown are per million tokens

Outputs Comparison

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Key Takeaways

OpenAI
Less expensive input tokens
Higher GPQA score (80.9% vs 36.4%)
Higher MMLU-Pro score (80.7% vs 56.3%)
Alibaba Cloud / Qwen Team

Qwen2.5 7B Instruct

View details

Alibaba Cloud / Qwen Team

Less expensive output tokens

Detailed Comparison

AI Model Comparison Table
Feature
OpenAI
GPT OSS 120B High
Alibaba Cloud / Qwen Team
Qwen2.5 7B Instruct

FAQ

Common questions about GPT OSS 120B High vs Qwen2.5 7B Instruct

GPT OSS 120B High significantly outperforms across most benchmarks. GPT OSS 120B High is made by OpenAI and Qwen2.5 7B Instruct is made by Alibaba Cloud / Qwen Team. The best choice depends on your use case — compare their benchmark scores, pricing, and capabilities above.
GPT OSS 120B High scores AIME 2025: 92.5%, MMMLU: 83.8%, LiveCodeBench v6: 81.9%, GPQA: 80.9%, MMLU-Pro: 80.7%. Qwen2.5 7B Instruct scores GSM8k: 91.6%, MT-Bench: 87.5%, HumanEval: 84.8%, MBPP: 79.2%, MATH: 75.5%.
GPT OSS 120B High is 3.0x cheaper for input tokens. GPT OSS 120B High costs $0.10/M input and $0.50/M output via openai. Qwen2.5 7B Instruct costs $0.30/M input and $0.30/M output via together.
GPT OSS 120B High supports 131K tokens and Qwen2.5 7B Instruct supports 131K tokens. A larger context window lets you process longer documents, conversations, or codebases in a single request.
Key differences include input pricing ($0.10 vs $0.30/M). See the full comparison above for benchmark-by-benchmark results.
GPT OSS 120B High is developed by OpenAI and Qwen2.5 7B Instruct is developed by Alibaba Cloud / Qwen Team.