Model Comparison

Qwen3.5-397B-A17B vs GPT-4.1

Qwen3.5-397B-A17B significantly outperforms across most benchmarks. Qwen3.5-397B-A17B is 2.6x cheaper per token.

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Performance Benchmarks

Comparative analysis across standard metrics

7 benchmarks

Qwen3.5-397B-A17B outperforms in 7 benchmarks (GPQA, HMMT 2025, Humanity's Last Exam, IFEval, MMMLU, Multi-Challenge, SWE-Bench Verified), while GPT-4.1 is better at 0 benchmarks.

Qwen3.5-397B-A17B significantly outperforms across most benchmarks.

Sat Apr 18 2026 • llm-stats.com

Arena Performance

Human preference votes

Pricing Analysis

Price comparison per million tokens

Qwen3.5-397B-A17B costs less

For input processing, Qwen3.5-397B-A17B ($0.60/1M tokens) is 3.3x cheaper than GPT-4.1 ($2.00/1M tokens).

For output processing, Qwen3.5-397B-A17B ($3.60/1M tokens) is 2.2x cheaper than GPT-4.1 ($8.00/1M tokens).

In conclusion, GPT-4.1 is more expensive than Qwen3.5-397B-A17B.*

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

Lowest available price from all providers
Sat Apr 18 2026 • llm-stats.com
Alibaba Cloud / Qwen Team
Qwen3.5-397B-A17B
Input tokens$0.60
Output tokens$3.60
Best providerNovita
OpenAI
GPT-4.1
Input tokens$2.00
Output tokens$8.00
Best providerOpenAI
Notice missing or incorrect data?Start an Issue→

Context Window

Maximum input and output token capacity

GPT-4.1 accepts 1,047,576 input tokens compared to Qwen3.5-397B-A17B's 262,144 tokens. Qwen3.5-397B-A17B can generate longer responses up to 64,000 tokens, while GPT-4.1 is limited to 32,768 tokens.

Alibaba Cloud / Qwen Team
Qwen3.5-397B-A17B
Input262,144 tokens
Output64,000 tokens
OpenAI
GPT-4.1
Input1,047,576 tokens
Output32,768 tokens
Sat Apr 18 2026 • llm-stats.com

Input Capabilities

Supported data types and modalities

Both Qwen3.5-397B-A17B and GPT-4.1 support multimodal inputs.

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

Qwen3.5-397B-A17B

Text
Images
Audio
Video

GPT-4.1

Text
Images
Audio
Video

License

Usage and distribution terms

Qwen3.5-397B-A17B is licensed under Apache 2.0, while GPT-4.1 uses a proprietary license.

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

Qwen3.5-397B-A17B

Apache 2.0

Open weights

GPT-4.1

Proprietary

Closed source

Release Timeline

When each model was launched

Qwen3.5-397B-A17B was released on 2026-02-16, while GPT-4.1 was released on 2025-04-14.

Qwen3.5-397B-A17B is 10 months newer than GPT-4.1.

Qwen3.5-397B-A17B

Feb 16, 2026

2 months ago

10mo newer
GPT-4.1

Apr 14, 2025

1.0 years ago

Knowledge Cutoff

When training data ends

GPT-4.1 has a documented knowledge cutoff of 2024-06-01, while Qwen3.5-397B-A17B's cutoff date is not specified.

We can confirm GPT-4.1's training data extends to 2024-06-01, but cannot make a direct comparison without Qwen3.5-397B-A17B's cutoff date.

Qwen3.5-397B-A17B

—

GPT-4.1

Jun 2024

Provider Availability

Qwen3.5-397B-A17B is available from Novita. GPT-4.1 is available from OpenAI.

Qwen3.5-397B-A17B

novita logo
Novita
Input Price:Input: $0.60/1MOutput Price:Output: $3.60/1M

GPT-4.1

openai logo
OpenAI
Input Price:Input: $2.00/1MOutput Price:Output: $8.00/1M
* Prices shown are per million tokens

Outputs Comparison

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Key Takeaways

Alibaba Cloud / Qwen Team

Qwen3.5-397B-A17B

View details

Alibaba Cloud / Qwen Team

Less expensive input tokens
Less expensive output tokens
Has open weights
Higher GPQA score (88.4% vs 66.3%)
Higher HMMT 2025 score (94.8% vs 28.9%)
Higher Humanity's Last Exam score (28.7% vs 5.4%)
Higher IFEval score (92.6% vs 87.4%)
Higher MMMLU score (88.5% vs 87.3%)
Higher Multi-Challenge score (67.6% vs 38.3%)
Higher SWE-Bench Verified score (76.4% vs 54.6%)
OpenAI
Larger context window (1,047,576 tokens)
Alibaba Cloud / Qwen TeamQwen3.5-397B-A17B
OpenAIGPT-4.1
Compare in Playground

Detailed Comparison

AI Model Comparison Table
Feature
Alibaba Cloud / Qwen Team
Qwen3.5-397B-A17B
OpenAI
GPT-4.1

FAQ

Common questions about Qwen3.5-397B-A17B vs GPT-4.1

Qwen3.5-397B-A17B significantly outperforms across most benchmarks. Qwen3.5-397B-A17B is made by Alibaba Cloud / Qwen Team and GPT-4.1 is made by OpenAI. The best choice depends on your use case — compare their benchmark scores, pricing, and capabilities above.
Qwen3.5-397B-A17B scores MMLU-Redux: 94.9%, HMMT 2025: 94.8%, C-Eval: 93.0%, HMMT25: 92.7%, IFEval: 92.6%. GPT-4.1 scores MMLU: 90.2%, CharXiv-D: 87.9%, IFEval: 87.4%, MMMLU: 87.3%, MMMU: 74.8%.
Qwen3.5-397B-A17B is 3.3x cheaper for input tokens. Qwen3.5-397B-A17B costs $0.60/M input and $3.60/M output via novita. GPT-4.1 costs $2.00/M input and $8.00/M output via openai.
Qwen3.5-397B-A17B supports 262K tokens and GPT-4.1 supports 1.0M tokens. A larger context window lets you process longer documents, conversations, or codebases in a single request.
Key differences include context window (262K vs 1.0M), input pricing ($0.60 vs $2.00/M), licensing (Apache 2.0 vs Proprietary). See the full comparison above for benchmark-by-benchmark results.
Qwen3.5-397B-A17B is developed by Alibaba Cloud / Qwen Team and GPT-4.1 is developed by OpenAI.