Model Comparison

GPT-4.1 nano vs Qwen3 Max

Qwen3 Max significantly outperforms across most benchmarks. GPT-4.1 nano is 9.3x cheaper per token.

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Performance Benchmarks

Comparative analysis across standard metrics

1 benchmarks

GPT-4.1 nano outperforms in 0 benchmarks, while Qwen3 Max is better at 1 benchmark (GPQA).

Qwen3 Max significantly outperforms across most benchmarks.

Fri Apr 17 2026 • llm-stats.com

Arena Performance

Human preference votes

Pricing Analysis

Price comparison per million tokens

GPT-4.1 nano costs less

For input processing, GPT-4.1 nano ($0.10/1M tokens) is 5.0x cheaper than Qwen3 Max ($0.50/1M tokens).

For output processing, GPT-4.1 nano ($0.40/1M tokens) is 12.5x cheaper than Qwen3 Max ($5.00/1M tokens).

In conclusion, Qwen3 Max is more expensive than GPT-4.1 nano.*

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

Lowest available price from all providers
Fri Apr 17 2026 • llm-stats.com
OpenAI
GPT-4.1 nano
Input tokens$0.10
Output tokens$0.40
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-4.1 nano accepts 1,047,576 input tokens compared to Qwen3 Max's 256,000 tokens. Qwen3 Max can generate longer responses up to 131,072 tokens, while GPT-4.1 nano is limited to 32,768 tokens.

OpenAI
GPT-4.1 nano
Input1,047,576 tokens
Output32,768 tokens
Alibaba Cloud / Qwen Team
Qwen3 Max
Input256,000 tokens
Output131,072 tokens
Fri Apr 17 2026 • llm-stats.com

Input Capabilities

Supported data types and modalities

GPT-4.1 nano supports multimodal inputs, whereas Qwen3 Max does not.

GPT-4.1 nano can handle both text and other forms of data like images, making it suitable for multimodal applications.

GPT-4.1 nano

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-4.1 nano

Proprietary

Closed source

Qwen3 Max

Proprietary

Closed source

Release Timeline

When each model was launched

GPT-4.1 nano was released on 2025-04-14, while Qwen3 Max was released on 2025-12-15.

Qwen3 Max is 8 months newer than GPT-4.1 nano.

GPT-4.1 nano

Apr 14, 2025

1.0 years ago

Qwen3 Max

Dec 15, 2025

4 months ago

8mo newer

Knowledge Cutoff

When training data ends

GPT-4.1 nano has a documented knowledge cutoff of 2024-05-31, while Qwen3 Max's cutoff date is not specified.

We can confirm GPT-4.1 nano's training data extends to 2024-05-31, but cannot make a direct comparison without Qwen3 Max's cutoff date.

GPT-4.1 nano

May 2024

Qwen3 Max

—

Provider Availability

GPT-4.1 nano is available from OpenAI. Qwen3 Max is available from Novita.

GPT-4.1 nano

openai logo
OpenAI
Input Price:Input: $0.10/1MOutput Price:Output: $0.40/1M

Qwen3 Max

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

Outputs Comparison

Notice missing or incorrect data?Start an Issue discussion→

Key Takeaways

OpenAI
Larger context window (1,047,576 tokens)
Supports multimodal inputs
Less expensive input tokens
Less expensive output tokens
Alibaba Cloud / Qwen Team

Qwen3 Max

View details

Alibaba Cloud / Qwen Team

Higher GPQA score (62.0% vs 50.3%)

Detailed Comparison

AI Model Comparison Table
Feature
OpenAI
GPT-4.1 nano
Alibaba Cloud / Qwen Team
Qwen3 Max

FAQ

Common questions about GPT-4.1 nano vs Qwen3 Max

Qwen3 Max significantly outperforms across most benchmarks. GPT-4.1 nano 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-4.1 nano scores MMLU: 80.1%, IFEval: 74.5%, CharXiv-D: 73.9%, MMMLU: 66.9%, Multi-IF: 57.2%. Qwen3 Max scores AIME 2025: 81.6%, t2-bench: 74.8%, SWE-Bench Verified: 69.6%, LiveCodeBench v6: 69.0%, SuperGPQA: 65.1%.
GPT-4.1 nano is 5.0x cheaper for input tokens. GPT-4.1 nano costs $0.10/M input and $0.40/M output via openai. Qwen3 Max costs $0.50/M input and $5.00/M output via novita.
GPT-4.1 nano supports 1.0M 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 (1.0M vs 256K), input pricing ($0.10 vs $0.50/M), multimodal support (yes vs no). See the full comparison above for benchmark-by-benchmark results.
GPT-4.1 nano is developed by OpenAI and Qwen3 Max is developed by Alibaba Cloud / Qwen Team.