 gpt-oss-120b |  Qwen2.5 7B Instruct | |
|---|---|---|
Model Provider The organization behind this AI's development | OpenAI | Qwen |
Input Context Window Maximum input tokens this model can process at once | 131K tokens | 65.5K tokens |
Output Token Limit Maximum output tokens this model can generate at once | 131K tokens | Not specified tokens |
Release Date When this model first became publicly available | August 5, 2025 26 days ago August 5th, 2025 | October 16, 2024 10 months ago October 16th, 2024 |
gpt-oss-120b | Qwen2.5 7B Instruct | |
|---|---|---|
Input Types Supported input formats | 📝Text | 📝Text |
Output Types Supported output formats | 📝Text | 📝Text |
Tokenizer Text encoding system | GPT | Qwen |
Key Features Advanced capabilities | ✓Function Calling✓Structured Output✓Reasoning ModeContent Moderation | Function Calling✓Structured OutputReasoning ModeContent Moderation |
Open Source Model availability | Available on HuggingFace → | Available on HuggingFace → |
| gpt-oss-120b | Qwen2.5 7B Instruct | |
|---|---|---|
Input Token Cost Cost per million input tokens | $0.07 per million tokens | $0.04 per million tokens |
Output Token Cost Cost per million outut tokens | $0.28 per million tokens | $0.10 per million tokens |
| gpt-oss-120b | Qwen2.5 7B Instruct | |
|---|---|---|
MMLU Measures knowledge across 57 subjects like law, math, history, and science | Benchmark not available. | Benchmark not available. |
MMMU Measures understanding of combined text and images across various domains | Benchmark not available. | Benchmark not available. |
HellaSwag Measures common sense reasoning by having models complete sentences about everyday situations | Benchmark not available. | Benchmark not available. |
gpt-oss-120b by OpenAI can use external tools and APIs, offers advanced reasoning, generates structured data. It can handle standard conversations with its 131K token context window. Very affordable at $0.07/M input and $0.28/M output tokens. Released August 5th, 2025.Qwen2.5 7B Instruct by Qwen generates structured data. It can handle standard conversations with its 65.5K token context window. Very affordable at $0.04/M input and $0.10/M output tokens. Released October 16th, 2024.Compare your models with top performers across different categories
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