Model Comparison
GPT-3.5 Turbo vs Qwen3 VL 8B ThinkingWhich is better in 2026?
Qwen3 VL 8B Thinking significantly outperforms across most benchmarks. Qwen3 VL 8B Thinking is 1.1x cheaper per token.
Verdict: GPT-3.5 Turbo vs Qwen3 VL 8B Thinking — which is better?
GPT-3.5 Turbo (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.
GPT-3.5 Turbo outperforms in 0 benchmarks, while Qwen3 VL 8B Thinking is better at 2 benchmarks (GPQA, MMLU). Qwen3 VL 8B Thinking significantly outperforms across most benchmarks.
On price, Qwen3 VL 8B Thinking is roughly 1.1x cheaper per token on a blended 3:1 input/output basis, which adds up quickly at production volume.
Qwen3 VL 8B Thinking also accepts a larger context window (262,144 input tokens), making it the stronger choice for long documents and large codebases.
Choose GPT-3.5 Turbo if…
- you want predictable pricing at $0.50/M input and $1.50/M output
Choose Qwen3 VL 8B Thinking if…
- you want the strongest raw capability — it leads on 2 of 2 shared benchmarks
- cost matters — it's about 1.1x cheaper per token
- you process long inputs — it offers a 262,144 token context window
- 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
GPT-3.5 Turbo outperforms in 0 benchmarks, while Qwen3 VL 8B Thinking is better at 2 benchmarks (GPQA, MMLU).
Qwen3 VL 8B Thinking significantly outperforms across most benchmarks.
Arena Performance
Human preference votes
Pricing Analysis
Price comparison per million tokens
For input processing, GPT-3.5 Turbo ($0.50/1M tokens) is 2.8x more expensive than Qwen3 VL 8B Thinking ($0.18/1M tokens).
For output processing, GPT-3.5 Turbo ($1.50/1M tokens) is 1.4x cheaper than Qwen3 VL 8B Thinking ($2.09/1M tokens).
In conclusion, GPT-3.5 Turbo is more expensive than Qwen3 VL 8B Thinking.*
* Using a 3:1 ratio of input to output tokens
Context Window
Maximum input and output token capacity
Qwen3 VL 8B Thinking accepts 262,144 input tokens compared to GPT-3.5 Turbo's 16,385 tokens. Qwen3 VL 8B Thinking can generate longer responses up to 262,144 tokens, while GPT-3.5 Turbo is limited to 4,096 tokens.
Input Capabilities
Supported data types and modalities
Qwen3 VL 8B Thinking supports multimodal inputs, whereas GPT-3.5 Turbo does not.
Qwen3 VL 8B Thinking can handle both text and other forms of data like images, making it suitable for multimodal applications.
GPT-3.5 Turbo
Qwen3 VL 8B Thinking
License
Usage and distribution terms
GPT-3.5 Turbo 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.
Proprietary
Closed source
Apache 2.0
Open weights
Release Timeline
When each model was launched
GPT-3.5 Turbo was released on 2023-03-21, while Qwen3 VL 8B Thinking was released on 2025-09-22.
Qwen3 VL 8B Thinking is 31 months newer than GPT-3.5 Turbo.
Mar 21, 2023
3.3 years ago
Sep 22, 2025
10 months ago
2.5yr newerKnowledge Cutoff
When training data ends
GPT-3.5 Turbo has a documented knowledge cutoff of 2021-09-30, while Qwen3 VL 8B Thinking's cutoff date is not specified.
We can confirm GPT-3.5 Turbo's training data extends to 2021-09-30, but cannot make a direct comparison without Qwen3 VL 8B Thinking's cutoff date.
Sep 2021
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Provider Availability
GPT-3.5 Turbo is available from Azure, OpenAI. Qwen3 VL 8B Thinking is available from DeepInfra.
GPT-3.5 Turbo
Qwen3 VL 8B Thinking
Outputs Comparison
Key Takeaways
Qwen3 VL 8B Thinking
View detailsAlibaba Cloud / Qwen Team
Detailed Comparison
Interactive Arena
Judge for yourself.
Run your own prompts against GPT-3.5 Turbo and Qwen3 VL 8B Thinking side-by-side, then vote on the output you prefer.
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FAQ
Common questions about GPT-3.5 Turbo vs Qwen3 VL 8B Thinking.