Model Comparison

GPT-5 Codex vs Qwen3 VL 8B ThinkingWhich is better in 2026?

Comparing GPT-5 Codex and Qwen3 VL 8B Thinking across benchmarks, pricing, and capabilities.

Verdict: GPT-5 Codex vs Qwen3 VL 8B Thinking — which is better?

GPT-5 Codex (by OpenAI) and Qwen3 VL 8B Thinking (by Alibaba Cloud / Qwen Team) are two of the AI models people compare most. Here is how they stack up on benchmarks, price and capabilities, and which one to pick in 2026.

Choose GPT-5 Codex if…

  • you are already invested in the OpenAI ecosystem

Choose Qwen3 VL 8B Thinking if…

  • you want the most recent training data — it shipped Sep 2025
  • you need open weights you can self-host or fine-tune

Performance Benchmarks

Comparative analysis across standard metrics

No common benchmarks found

GPT-5 Codex and Qwen3 VL 8B Thinkingdon't have any common benchmark datasets to compare. They may have been evaluated on different testing suites.

Arena Performance

Human preference votes

Context Window

Maximum input and output token capacity

Only Qwen3 VL 8B Thinking specifies input context (262,144 tokens). Only Qwen3 VL 8B Thinking specifies output context (262,144 tokens).

OpenAI
GPT-5 Codex
Input- tokens
Output- tokens
Alibaba Cloud / Qwen Team
Qwen3 VL 8B Thinking
Input262,144 tokens
Output262,144 tokens
Mon Jul 27 2026 • llm-stats.com

Input Capabilities

Supported data types and modalities

Qwen3 VL 8B Thinking supports multimodal inputs, whereas GPT-5 Codex does not.

Qwen3 VL 8B Thinking can handle both text and other forms of data like images, making it suitable for multimodal applications.

GPT-5 Codex

Text
Images
Audio
Video

Qwen3 VL 8B Thinking

Text
Images
Audio
Video

License

Usage and distribution terms

GPT-5 Codex is licensed under a proprietary license, while Qwen3 VL 8B Thinking uses Apache 2.0.

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

GPT-5 Codex

Proprietary

Closed source

Qwen3 VL 8B Thinking

Apache 2.0

Open weights

Release Timeline

When each model was launched

GPT-5 Codex was released on 2025-09-15, while Qwen3 VL 8B Thinking was released on 2025-09-22.

Qwen3 VL 8B Thinking is 0 month newer than GPT-5 Codex.

GPT-5 Codex

Sep 15, 2025

10 months ago

Qwen3 VL 8B Thinking

Sep 22, 2025

10 months ago

1w newer

Knowledge Cutoff

When training data ends

GPT-5 Codex has a documented knowledge cutoff of 2024-09-30, while Qwen3 VL 8B Thinking's cutoff date is not specified.

We can confirm GPT-5 Codex's training data extends to 2024-09-30, but cannot make a direct comparison without Qwen3 VL 8B Thinking's cutoff date.

GPT-5 Codex

Sep 2024

Qwen3 VL 8B Thinking

—

Outputs Comparison

Notice missing or incorrect data?Start an Issue discussion→

Key Takeaways

OpenAI

No standout differentiators in the data we have for this pair.

Alibaba Cloud / Qwen Team

Qwen3 VL 8B Thinking

View details

Alibaba Cloud / Qwen Team

Larger context window (262,144 tokens)
Supports multimodal inputs
Has open weights

Detailed Comparison

Interactive Arena

Judge for yourself.

Run your own prompts against GPT-5 Codex and Qwen3 VL 8B Thinking side-by-side, then vote on the output you prefer.

GPT-5 Codex
✓ Preferred
Qwen3 VL 8B Thinking
Open in Playground
AI Model Comparison Table
Feature
OpenAI
GPT-5 Codex
Alibaba Cloud / Qwen Team
Qwen3 VL 8B Thinking

FAQ

Common questions about GPT-5 Codex vs Qwen3 VL 8B Thinking.

Which is better, GPT-5 Codex or Qwen3 VL 8B Thinking?

GPT-5 Codex (OpenAI) and Qwen3 VL 8B Thinking (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.

How does GPT-5 Codex compare to Qwen3 VL 8B Thinking in benchmarks?

GPT-5 Codex scores SWE-Bench Verified: 74.5%. Qwen3 VL 8B Thinking scores DocVQAtest: 95.3%, ScreenSpot: 93.6%, MMLU-Redux: 88.8%, MMBench-V1.1: 87.5%, InfoVQAtest: 86.0%.

What are the context window sizes for GPT-5 Codex and Qwen3 VL 8B Thinking?

GPT-5 Codex supports an unknown number of tokens and Qwen3 VL 8B Thinking supports 262K tokens. A larger context window lets you process longer documents, conversations, or codebases in a single request.

What are the main differences between GPT-5 Codex and Qwen3 VL 8B Thinking?

Key differences include multimodal support (no vs yes), licensing (Proprietary vs Apache 2.0). See the full comparison above for benchmark-by-benchmark results.

Who makes GPT-5 Codex and Qwen3 VL 8B Thinking?

GPT-5 Codex is developed by OpenAI and Qwen3 VL 8B Thinking is developed by Alibaba Cloud / Qwen Team.

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