Model Comparison

GPT-5.2 vs Qwen3 VL 8B Thinking

GPT-5.2 significantly outperforms across most benchmarks. Qwen3 VL 8B Thinking is 7.3x cheaper per token.

Performance Benchmarks

Comparative analysis across standard metrics

6 benchmarks

GPT-5.2 outperforms in 6 benchmarks (AIME 2025, CharXiv-R, GPQA, MMMU-Pro, ScreenSpot Pro, VideoMMMU), while Qwen3 VL 8B Thinking is better at 0 benchmarks.

GPT-5.2 significantly outperforms across most benchmarks.

Tue May 12 2026 • llm-stats.com

Arena Performance

Human preference votes

Pricing Analysis

Price comparison per million tokens

Qwen3 VL 8B Thinking costs less

For input processing, GPT-5.2 ($1.75/1M tokens) is 9.7x more expensive than Qwen3 VL 8B Thinking ($0.18/1M tokens).

For output processing, GPT-5.2 ($14.00/1M tokens) is 6.7x more expensive than Qwen3 VL 8B Thinking ($2.09/1M tokens).

In conclusion, GPT-5.2 is more expensive than Qwen3 VL 8B Thinking.*

* Using a 3:1 ratio of input to output tokens

Lowest available price from all providers
Tue May 12 2026 • llm-stats.com
OpenAI
GPT-5.2
Input tokens$1.75
Output tokens$14.00
Best providerOpenAI
Alibaba Cloud / Qwen Team
Qwen3 VL 8B Thinking
Input tokens$0.18
Output tokens$2.09
Best providerDeepinfra
Notice missing or incorrect data?Start an Issue

Context Window

Maximum input and output token capacity

GPT-5.2 accepts 400,000 input tokens compared to Qwen3 VL 8B Thinking's 262,144 tokens. Qwen3 VL 8B Thinking can generate longer responses up to 262,144 tokens, while GPT-5.2 is limited to 128,000 tokens.

OpenAI
GPT-5.2
Input400,000 tokens
Output128,000 tokens
Alibaba Cloud / Qwen Team
Qwen3 VL 8B Thinking
Input262,144 tokens
Output262,144 tokens
Tue May 12 2026 • llm-stats.com

Input Capabilities

Supported data types and modalities

Both GPT-5.2 and Qwen3 VL 8B Thinking support multimodal inputs.

They are both capable of processing various types of data, offering versatility in application.

GPT-5.2

Text
Images
Audio
Video

Qwen3 VL 8B Thinking

Text
Images
Audio
Video

License

Usage and distribution terms

GPT-5.2 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-5.2

Proprietary

Closed source

Qwen3 VL 8B Thinking

Apache 2.0

Open weights

Release Timeline

When each model was launched

GPT-5.2 was released on 2025-12-11, while Qwen3 VL 8B Thinking was released on 2025-09-22.

GPT-5.2 is 3 months newer than Qwen3 VL 8B Thinking.

GPT-5.2

Dec 11, 2025

5 months ago

2mo newer
Qwen3 VL 8B Thinking

Sep 22, 2025

7 months ago

Knowledge Cutoff

When training data ends

GPT-5.2 has a documented knowledge cutoff of 2025-08-25, while Qwen3 VL 8B Thinking's cutoff date is not specified.

We can confirm GPT-5.2's training data extends to 2025-08-25, but cannot make a direct comparison without Qwen3 VL 8B Thinking's cutoff date.

GPT-5.2

Aug 2025

Qwen3 VL 8B Thinking

Provider Availability

GPT-5.2 is available from OpenAI. Qwen3 VL 8B Thinking is available from DeepInfra.

GPT-5.2

openai logo
OpenAI
Input Price:Input: $1.75/1MOutput Price:Output: $14.00/1M

Qwen3 VL 8B Thinking

deepinfra logo
Deepinfra
Input Price:Input: $0.18/1MOutput Price:Output: $2.09/1M
* Prices shown are per million tokens

Outputs Comparison

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Key Takeaways

Larger context window (400,000 tokens)
Higher AIME 2025 score (100.0% vs 80.3%)
Higher CharXiv-R score (82.1% vs 53.0%)
Higher GPQA score (92.4% vs 69.9%)
Higher MMMU-Pro score (79.5% vs 60.4%)
Higher ScreenSpot Pro score (86.3% vs 46.6%)
Higher VideoMMMU score (85.9% vs 72.8%)
Alibaba Cloud / Qwen Team

Qwen3 VL 8B Thinking

View details

Alibaba Cloud / Qwen Team

Less expensive input tokens
Less expensive output tokens
Has open weights

Detailed Comparison

AI Model Comparison Table
Feature
OpenAI
GPT-5.2
Alibaba Cloud / Qwen Team
Qwen3 VL 8B Thinking

FAQ

Common questions about GPT-5.2 vs Qwen3 VL 8B Thinking.

Which is better, GPT-5.2 or Qwen3 VL 8B Thinking?

GPT-5.2 significantly outperforms across most benchmarks. GPT-5.2 is made by OpenAI and Qwen3 VL 8B Thinking is made by Alibaba Cloud / Qwen Team. The best choice depends on your use case — compare their benchmark scores, pricing, and capabilities above.

How does GPT-5.2 compare to Qwen3 VL 8B Thinking in benchmarks?

GPT-5.2 scores AIME 2025: 100.0%, HMMT 2025: 99.4%, Tau2 Telecom: 98.7%, Graphwalks BFS <128k: 94.0%, GPQA: 92.4%. Qwen3 VL 8B Thinking scores DocVQAtest: 95.3%, ScreenSpot: 93.6%, MMLU-Redux: 88.8%, MMBench-V1.1: 87.5%, InfoVQAtest: 86.0%.

Is GPT-5.2 cheaper than Qwen3 VL 8B Thinking?

Qwen3 VL 8B Thinking is 9.7x cheaper for input tokens. GPT-5.2 costs $1.75/M input and $14.00/M output via openai. Qwen3 VL 8B Thinking costs $0.18/M input and $2.09/M output via deepinfra.

What are the context window sizes for GPT-5.2 and Qwen3 VL 8B Thinking?

GPT-5.2 supports 400K 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-5.2 and Qwen3 VL 8B Thinking?

Key differences include context window (400K vs 262K), input pricing ($1.75 vs $0.18/M), licensing (Proprietary vs Apache 2.0). See the full comparison above for benchmark-by-benchmark results.

Who makes GPT-5.2 and Qwen3 VL 8B Thinking?

GPT-5.2 is developed by OpenAI and Qwen3 VL 8B Thinking is developed by Alibaba Cloud / Qwen Team.