gpt-oss-120b vs Qwen2.5 VL 72B Instruct (Comparative Analysis)
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Comparative Analysis: gpt-oss-120b vs. Qwen2.5 VL 72B Instruct
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Overview
Qwen2.5 VL 72B Instruct was released 6 months before gpt-oss-120b.
Model Provider The organization behind this AI's development | ||
Input Context Window Maximum input tokens this model can process at once | 131.1K tokens | 131.1K tokens |
Output Token Limit Maximum output tokens this model can generate at once | 131.1K tokens | 128K tokens |
Release Date When this model first became publicly available | August 5, 2025 11 months ago August 5th, 2025 | February 1, 2025 1 year ago February 1st, 2025 |
Knowledge Cutoff Latest training-data date reported by the provider | June 30, 2024 | June 30, 2024 |
Capabilities & Features
Compare supported features, modalities, and advanced capabilities
gpt-oss-120b | Qwen2.5 VL 72B Instruct | |
|---|---|---|
Input Types Supported input formats | 📝Text | 📝Text🖼️Image |
Reasoning Controls Defaults and configurable reasoning effort | Always enabledEffort: High, Medium, LowDefault: Medium | Not reported |
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 → |
Pricing
gpt-oss-120b is roughly 0.05x less expensive compared to Qwen2.5 VL 72B Instruct for input tokens and roughly 0.2x less expensive for output tokens.
Input Token Cost Cost per million input tokens | $0.04 per million tokens | $0.80 per million tokens |
Output Token Cost Cost per million output tokens | $0.17 per million tokens | $1.00 per million tokens |
Cache Read Cost Cost to reuse cached input tokens | Not specified | $0.40 per million tokens |
Benchmarks
Compare relevant benchmarks between gpt-oss-120b and Qwen2.5 VL 72B Instruct.
Intelligence Index Overall model quality across independent evaluations | 23.8 (Artificial Analysis index; higher is better) | Benchmark not available. |
Coding Index Programming performance across independent evaluations | 30.4 (Artificial Analysis index; higher is better) | Benchmark not available. |
Agentic Index Ability to complete multi-step agentic tasks | 13.2 (Artificial Analysis index; higher is better) | Benchmark not available. |
Best Design Arena Score Highest human-preference Elo score across design arenas | 1,052 Elo (#90 in Game Dev (40.6% win rate)) | Benchmark not available. |
At a Glance
Quick overview of what makes gpt-oss-120b and Qwen2.5 VL 72B Instruct unique.
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Compare Qwen2.5 VL 72B Instruct with:
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Best models for coding and development
🎨Creative & Roleplay
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📢Marketing
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💻Technology
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🔬Science
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