Model Comparison

GPT-5.2 vs Qwen3 Max

GPT-5.2 significantly outperforms across most benchmarks. Qwen3 Max is 3.0x cheaper per token.

Performance Benchmarks

Comparative analysis across standard metrics

3 benchmarks

GPT-5.2 outperforms in 3 benchmarks (AIME 2025, GPQA, SWE-Bench Verified), while Qwen3 Max is better at 0 benchmarks.

GPT-5.2 significantly outperforms across most benchmarks.

Fri Apr 10 2026 • llm-stats.com

Arena Performance

Human preference votes

Pricing Analysis

Price comparison per million tokens

Qwen3 Max costs less

For input processing, GPT-5.2 ($1.75/1M tokens) is 3.5x more expensive than Qwen3 Max ($0.50/1M tokens).

For output processing, GPT-5.2 ($14.00/1M tokens) is 2.8x more expensive than Qwen3 Max ($5.00/1M tokens).

In conclusion, GPT-5.2 is more expensive than Qwen3 Max.*

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

Lowest available price from all providers
Fri Apr 10 2026 • llm-stats.com
OpenAI
GPT-5.2
Input tokens$1.75
Output tokens$14.00
Best providerOpenAI
Alibaba Cloud / Qwen Team
Qwen3 Max
Input tokens$0.50
Output tokens$5.00
Best providerNovita
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 Max's 256,000 tokens. Qwen3 Max can generate longer responses up to 131,072 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 Max
Input256,000 tokens
Output131,072 tokens
Fri Apr 10 2026 • llm-stats.com

Input Capabilities

Supported data types and modalities

GPT-5.2 supports multimodal inputs, whereas Qwen3 Max does not.

GPT-5.2 can handle both text and other forms of data like images, making it suitable for multimodal applications.

GPT-5.2

Text
Images
Audio
Video

Qwen3 Max

Text
Images
Audio
Video

License

Usage and distribution terms

Both models are licensed under proprietary licenses.

Both models have usage restrictions defined by their respective organizations.

GPT-5.2

Proprietary

Closed source

Qwen3 Max

Proprietary

Closed source

Release Timeline

When each model was launched

GPT-5.2 was released on 2025-12-11, while Qwen3 Max was released on 2025-12-15.

Qwen3 Max is 0 month newer than GPT-5.2.

GPT-5.2

Dec 11, 2025

4 months ago

Qwen3 Max

Dec 15, 2025

3 months ago

4d newer

Knowledge Cutoff

When training data ends

GPT-5.2 has a documented knowledge cutoff of 2025-08-25, while Qwen3 Max'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 Max's cutoff date.

GPT-5.2

Aug 2025

Qwen3 Max

Provider Availability

GPT-5.2 is available from OpenAI. Qwen3 Max is available from Novita.

GPT-5.2

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

Qwen3 Max

novita logo
Novita
Input Price:Input: $0.50/1MOutput Price:Output: $5.00/1M
* Prices shown are per million tokens

Outputs Comparison

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Key Takeaways

Larger context window (400,000 tokens)
Supports multimodal inputs
Higher AIME 2025 score (100.0% vs 81.6%)
Higher GPQA score (92.4% vs 62.0%)
Higher SWE-Bench Verified score (80.0% vs 69.6%)
Alibaba Cloud / Qwen Team

Qwen3 Max

View details

Alibaba Cloud / Qwen Team

Less expensive input tokens
Less expensive output tokens

Detailed Comparison

AI Model Comparison Table
Feature
OpenAI
GPT-5.2
Alibaba Cloud / Qwen Team
Qwen3 Max

FAQ

Common questions about GPT-5.2 vs Qwen3 Max

GPT-5.2 significantly outperforms across most benchmarks. GPT-5.2 is made by OpenAI and Qwen3 Max is made by Alibaba Cloud / Qwen Team. The best choice depends on your use case — compare their benchmark scores, pricing, and capabilities above.
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 Max scores AIME 2025: 81.6%, t2-bench: 74.8%, SWE-Bench Verified: 69.6%, LiveCodeBench v6: 69.0%, SuperGPQA: 65.1%.
Qwen3 Max is 3.5x cheaper for input tokens. GPT-5.2 costs $1.75/M input and $14.00/M output via openai. Qwen3 Max costs $0.50/M input and $5.00/M output via novita.
GPT-5.2 supports 400K tokens and Qwen3 Max supports 256K tokens. A larger context window lets you process longer documents, conversations, or codebases in a single request.
Key differences include context window (400K vs 256K), input pricing ($1.75 vs $0.50/M), multimodal support (yes vs no). See the full comparison above for benchmark-by-benchmark results.
GPT-5.2 is developed by OpenAI and Qwen3 Max is developed by Alibaba Cloud / Qwen Team.