Model Comparison

GPT-5.1 Codex Mini vs Qwen2 7B Instruct

Comparing GPT-5.1 Codex Mini and Qwen2 7B Instruct across benchmarks, pricing, and capabilities.

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Performance Benchmarks

Comparative analysis across standard metrics

No common benchmarks found

GPT-5.1 Codex Mini and Qwen2 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.

Lowest available price from all providers
Wed Apr 15 2026 • llm-stats.com
OpenAI
GPT-5.1 Codex Mini
Input tokens$0.25
Output tokens$2.00
Best providerOpenAI
Alibaba Cloud / Qwen Team
Qwen2 7B Instruct
Input tokens$0.00
Output tokens$0.00
Best providerUnknown Organization
Notice missing or incorrect data?Start an Issue→

Context Window

Maximum input and output token capacity

Only GPT-5.1 Codex Mini specifies input context (400,000 tokens). Only GPT-5.1 Codex Mini specifies output context (128,000 tokens).

OpenAI
GPT-5.1 Codex Mini
Input400,000 tokens
Output128,000 tokens
Alibaba Cloud / Qwen Team
Qwen2 7B Instruct
Input- tokens
Output- tokens
Wed Apr 15 2026 • llm-stats.com

Input Capabilities

Supported data types and modalities

GPT-5.1 Codex Mini supports multimodal inputs, whereas Qwen2 7B Instruct does not.

GPT-5.1 Codex Mini can handle both text and other forms of data like images, making it suitable for multimodal applications.

GPT-5.1 Codex Mini

Text
Images
Audio
Video

Qwen2 7B Instruct

Text
Images
Audio
Video

License

Usage and distribution terms

GPT-5.1 Codex Mini is licensed under a proprietary license, while Qwen2 7B Instruct uses Apache 2.0.

License differences may affect how you can use these models in commercial or open-source projects.

GPT-5.1 Codex Mini

Proprietary

Closed source

Qwen2 7B Instruct

Apache 2.0

Open weights

Release Timeline

When each model was launched

GPT-5.1 Codex Mini was released on 2025-11-12, while Qwen2 7B Instruct was released on 2024-07-23.

GPT-5.1 Codex Mini is 16 months newer than Qwen2 7B Instruct.

GPT-5.1 Codex Mini

Nov 12, 2025

5 months ago

1.3yr newer
Qwen2 7B Instruct

Jul 23, 2024

1.7 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

Notice missing or incorrect data?Start an Issue discussion→

Key Takeaways

OpenAI
Larger context window (400,000 tokens)
Supports multimodal inputs
Alibaba Cloud / Qwen Team

Qwen2 7B Instruct

View details

Alibaba Cloud / Qwen Team

Has open weights

Detailed Comparison

AI Model Comparison Table
Feature
OpenAI
GPT-5.1 Codex Mini
Alibaba Cloud / Qwen Team
Qwen2 7B Instruct

FAQ

Common questions about GPT-5.1 Codex Mini vs Qwen2 7B Instruct

GPT-5.1 Codex Mini (OpenAI) and Qwen2 7B Instruct (Alibaba Cloud / Qwen Team) each have strengths in different areas. Compare their benchmark scores, pricing, context windows, and capabilities above to determine which fits your needs.
GPT-5.1 Codex Mini scores AIME 2025: 42.1%. Qwen2 7B Instruct scores MT-Bench: 84.1%, GSM8k: 82.3%, HumanEval: 79.9%, C-Eval: 77.2%, AlignBench: 72.1%.
GPT-5.1 Codex Mini supports 400K tokens and Qwen2 7B Instruct supports an unknown number of tokens. A larger context window lets you process longer documents, conversations, or codebases in a single request.
Key differences include multimodal support (yes vs no), licensing (Proprietary vs Apache 2.0). See the full comparison above for benchmark-by-benchmark results.
GPT-5.1 Codex Mini is developed by OpenAI and Qwen2 7B Instruct is developed by Alibaba Cloud / Qwen Team.