Model Comparison

Qwen3.5-397B-A17B vs GPT-4o mini

Qwen3.5-397B-A17B significantly outperforms across most benchmarks. GPT-4o mini is 5.1x cheaper per token.

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Performance Benchmarks

Comparative analysis across standard metrics

2 benchmarks

Qwen3.5-397B-A17B outperforms in 2 benchmarks (GPQA, SWE-Bench Verified), while GPT-4o mini is better at 0 benchmarks.

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

Thu Apr 16 2026 • llm-stats.com

Arena Performance

Human preference votes

Pricing Analysis

Price comparison per million tokens

GPT-4o mini costs less

For input processing, Qwen3.5-397B-A17B ($0.60/1M tokens) is 4.0x more expensive than GPT-4o mini ($0.15/1M tokens).

For output processing, Qwen3.5-397B-A17B ($3.60/1M tokens) is 6.0x more expensive than GPT-4o mini ($0.60/1M tokens).

In conclusion, Qwen3.5-397B-A17B is more expensive than GPT-4o mini.*

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

Lowest available price from all providers
Thu Apr 16 2026 • llm-stats.com
Alibaba Cloud / Qwen Team
Qwen3.5-397B-A17B
Input tokens$0.60
Output tokens$3.60
Best providerNovita
OpenAI
GPT-4o mini
Input tokens$0.15
Output tokens$0.60
Best providerAzure
Notice missing or incorrect data?Start an Issue→

Context Window

Maximum input and output token capacity

Qwen3.5-397B-A17B accepts 262,144 input tokens compared to GPT-4o mini's 128,000 tokens. Qwen3.5-397B-A17B can generate longer responses up to 64,000 tokens, while GPT-4o mini is limited to 16,384 tokens.

Alibaba Cloud / Qwen Team
Qwen3.5-397B-A17B
Input262,144 tokens
Output64,000 tokens
OpenAI
GPT-4o mini
Input128,000 tokens
Output16,384 tokens
Thu Apr 16 2026 • llm-stats.com

Input Capabilities

Supported data types and modalities

Both Qwen3.5-397B-A17B and GPT-4o mini 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-4o mini

Text
Images
Audio
Video

License

Usage and distribution terms

Qwen3.5-397B-A17B is licensed under Apache 2.0, while GPT-4o mini 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-4o mini

Proprietary

Closed source

Release Timeline

When each model was launched

Qwen3.5-397B-A17B was released on 2026-02-16, while GPT-4o mini was released on 2024-07-18.

Qwen3.5-397B-A17B is 19 months newer than GPT-4o mini.

Qwen3.5-397B-A17B

Feb 16, 2026

1 months ago

1.6yr newer
GPT-4o mini

Jul 18, 2024

1.7 years ago

Knowledge Cutoff

When training data ends

GPT-4o mini has a documented knowledge cutoff of 2023-10-01, while Qwen3.5-397B-A17B's cutoff date is not specified.

We can confirm GPT-4o mini's training data extends to 2023-10-01, but cannot make a direct comparison without Qwen3.5-397B-A17B's cutoff date.

Qwen3.5-397B-A17B

—

GPT-4o mini

Oct 2023

Provider Availability

Qwen3.5-397B-A17B is available from Novita. GPT-4o mini is available from Azure.

Qwen3.5-397B-A17B

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

GPT-4o mini

azure logo
Azure
Input Price:Input: $0.15/1MOutput Price:Output: $0.60/1M
* 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

Larger context window (262,144 tokens)
Has open weights
Higher GPQA score (88.4% vs 40.2%)
Higher SWE-Bench Verified score (76.4% vs 8.7%)
OpenAI
Less expensive input tokens
Less expensive output tokens

Detailed Comparison

AI Model Comparison Table
Feature
Alibaba Cloud / Qwen Team
Qwen3.5-397B-A17B
OpenAI
GPT-4o mini

FAQ

Common questions about Qwen3.5-397B-A17B vs GPT-4o mini

Qwen3.5-397B-A17B significantly outperforms across most benchmarks. Qwen3.5-397B-A17B is made by Alibaba Cloud / Qwen Team and GPT-4o mini 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-4o mini scores HumanEval: 87.2%, MGSM: 87.0%, MMLU: 82.0%, DROP: 79.7%, MATH: 70.2%.
GPT-4o mini is 4.0x cheaper for input tokens. Qwen3.5-397B-A17B costs $0.60/M input and $3.60/M output via novita. GPT-4o mini costs $0.15/M input and $0.60/M output via azure.
Qwen3.5-397B-A17B supports 262K tokens and GPT-4o mini supports 128K tokens. A larger context window lets you process longer documents, conversations, or codebases in a single request.
Key differences include context window (262K vs 128K), input pricing ($0.60 vs $0.15/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-4o mini is developed by OpenAI.