Model Comparison

GPT-4.1 nano vs Qwen3 30B A3B

Qwen3 30B A3B significantly outperforms across most benchmarks. Qwen3 30B A3B is 1.2x cheaper per token.

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Performance Benchmarks

Comparative analysis across standard metrics

3 benchmarks

GPT-4.1 nano outperforms in 0 benchmarks, while Qwen3 30B A3B is better at 3 benchmarks (AIME 2024, GPQA, Multi-IF).

Qwen3 30B A3B significantly outperforms across most benchmarks.

Fri May 01 2026 • llm-stats.com

Arena Performance

Human preference votes

Pricing Analysis

Price comparison per million tokens

Qwen3 30B A3B costs less

For input processing, GPT-4.1 nano ($0.10/1M tokens) costs the same as Qwen3 30B A3B ($0.10/1M tokens).

For output processing, GPT-4.1 nano ($0.40/1M tokens) is 1.3x more expensive than Qwen3 30B A3B ($0.30/1M tokens).

In conclusion, GPT-4.1 nano is more expensive than Qwen3 30B A3B.*

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

Lowest available price from all providers
Fri May 01 2026 • llm-stats.com
OpenAI
GPT-4.1 nano
Input tokens$0.10
Output tokens$0.40
Best providerOpenAI
Alibaba Cloud / Qwen Team
Qwen3 30B A3B
Input tokens$0.10
Output tokens$0.30
Best providerDeepinfra
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 30B A3B's 128,000 tokens. Qwen3 30B A3B can generate longer responses up to 128,000 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 30B A3B
Input128,000 tokens
Output128,000 tokens
Fri May 01 2026 • llm-stats.com

Input Capabilities

Supported data types and modalities

GPT-4.1 nano supports multimodal inputs, whereas Qwen3 30B A3B 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 30B A3B

Text
Images
Audio
Video

License

Usage and distribution terms

GPT-4.1 nano is licensed under a proprietary license, while Qwen3 30B A3B uses Apache 2.0.

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

GPT-4.1 nano

Proprietary

Closed source

Qwen3 30B A3B

Apache 2.0

Open weights

Release Timeline

When each model was launched

GPT-4.1 nano was released on 2025-04-14, while Qwen3 30B A3B was released on 2025-04-29.

Qwen3 30B A3B is 1 month newer than GPT-4.1 nano.

GPT-4.1 nano

Apr 14, 2025

1.0 years ago

Qwen3 30B A3B

Apr 29, 2025

1.0 years ago

2w newer

Knowledge Cutoff

When training data ends

GPT-4.1 nano has a documented knowledge cutoff of 2024-05-31, while Qwen3 30B A3B'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 30B A3B's cutoff date.

GPT-4.1 nano

May 2024

Qwen3 30B A3B

—

Provider Availability

GPT-4.1 nano is available from OpenAI. Qwen3 30B A3B is available from DeepInfra, Novita, Fireworks.

GPT-4.1 nano

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

Qwen3 30B A3B

deepinfra logo
Deepinfra
Input Price:Input: $0.10/1MOutput Price:Output: $0.30/1M
novita logo
Novita
Input Price:Input: $0.10/1MOutput Price:Output: $0.44/1M
fireworks logo
Fireworks
Input Price:Input: $0.89/1MOutput Price:Output: $0.89/1M
* Prices shown are per million tokens

Outputs Comparison

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Key Takeaways

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

Qwen3 30B A3B

View details

Alibaba Cloud / Qwen Team

Less expensive output tokens
Has open weights
Higher AIME 2024 score (80.4% vs 29.4%)
Higher GPQA score (65.8% vs 50.3%)
Higher Multi-IF score (72.2% vs 57.2%)

Detailed Comparison

AI Model Comparison Table
Feature
OpenAI
GPT-4.1 nano
Alibaba Cloud / Qwen Team
Qwen3 30B A3B

FAQ

Common questions about GPT-4.1 nano vs Qwen3 30B A3B

Qwen3 30B A3B significantly outperforms across most benchmarks. GPT-4.1 nano is made by OpenAI and Qwen3 30B A3B 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 30B A3B scores Arena Hard: 91.0%, AIME 2024: 80.4%, LiveBench: 74.3%, Multi-IF: 72.2%, AIME 2025: 70.9%.
Both models cost $0.10 per million input tokens.
GPT-4.1 nano supports 1.0M tokens and Qwen3 30B A3B supports 128K 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 128K), multimodal support (yes vs no), licensing (Proprietary vs Apache 2.0). See the full comparison above for benchmark-by-benchmark results.
GPT-4.1 nano is developed by OpenAI and Qwen3 30B A3B is developed by Alibaba Cloud / Qwen Team.