Model Comparison
GPT-5.1 Codex High vs Qwen2.5 VL 7B Instruct
Comparing GPT-5.1 Codex High and Qwen2.5 VL 7B Instruct across benchmarks, pricing, and capabilities.
Performance Benchmarks
Comparative analysis across standard metrics
GPT-5.1 Codex High and Qwen2.5 VL 7B Instruct don't have any common benchmark datasets to compare. They may have been evaluated on different testing suites.
Arena Performance
Human preference votes
Pricing Analysis
Price comparison per million tokens
Cost data unavailable.
Context Window
Maximum input and output token capacity
Only GPT-5.1 Codex High specifies input context (400,000 tokens). Only GPT-5.1 Codex High specifies output context (128,000 tokens).
Input Capabilities
Supported data types and modalities
Both GPT-5.1 Codex High and Qwen2.5 VL 7B Instruct support multimodal inputs.
They are both capable of processing various types of data, offering versatility in application.
GPT-5.1 Codex High
Qwen2.5 VL 7B Instruct
License
Usage and distribution terms
GPT-5.1 Codex High is licensed under a proprietary license, while Qwen2.5 VL 7B Instruct uses Apache 2.0.
License differences may affect how you can use these models in commercial or open-source projects.
Proprietary
Closed source
Apache 2.0
Open weights
Release Timeline
When each model was launched
GPT-5.1 Codex High was released on 2025-11-12, while Qwen2.5 VL 7B Instruct was released on 2025-01-26.
GPT-5.1 Codex High is 10 months newer than Qwen2.5 VL 7B Instruct.
Nov 12, 2025
5 months ago
9mo newerJan 26, 2025
1.2 years ago
Knowledge Cutoff
When training data ends
Neither model specifies a knowledge cutoff date.
Unable to compare the recency of their training data.
Outputs Comparison
Key Takeaways
Qwen2.5 VL 7B Instruct
View detailsAlibaba Cloud / Qwen Team
Detailed Comparison
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FAQ
Common questions about GPT-5.1 Codex High vs Qwen2.5 VL 7B Instruct