Model Comparison

Qwen3.5-397B-A17B vs GPT-5.4 mini

Both models are evenly matched across the benchmarks. Qwen3.5-397B-A17B is 1.3x cheaper per token.

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Performance Benchmarks

Comparative analysis across standard metrics

4 benchmarks

Qwen3.5-397B-A17B outperforms in 2 benchmarks (GPQA, Humanity's Last Exam), while GPT-5.4 mini is better at 2 benchmarks (Terminal-Bench 2.0, Toolathlon).

Both models are evenly matched across the benchmarks.

Fri Apr 17 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 1.3x cheaper than GPT-5.4 mini ($0.75/1M tokens).

For output processing, Qwen3.5-397B-A17B ($3.60/1M tokens) is 1.3x cheaper than GPT-5.4 mini ($4.50/1M tokens).

In conclusion, GPT-5.4 mini is more expensive than Qwen3.5-397B-A17B.*

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

Lowest available price from all providers
Fri Apr 17 2026 • llm-stats.com
Alibaba Cloud / Qwen Team
Qwen3.5-397B-A17B
Input tokens$0.60
Output tokens$3.60
Best providerNovita
OpenAI
GPT-5.4 mini
Input tokens$0.75
Output tokens$4.50
Best providerOpenAI
Notice missing or incorrect data?Start an Issue→

Context Window

Maximum input and output token capacity

GPT-5.4 mini accepts 400,000 input tokens compared to Qwen3.5-397B-A17B's 262,144 tokens. GPT-5.4 mini can generate longer responses up to 128,000 tokens, while Qwen3.5-397B-A17B is limited to 64,000 tokens.

Alibaba Cloud / Qwen Team
Qwen3.5-397B-A17B
Input262,144 tokens
Output64,000 tokens
OpenAI
GPT-5.4 mini
Input400,000 tokens
Output128,000 tokens
Fri Apr 17 2026 • llm-stats.com

Input Capabilities

Supported data types and modalities

Both Qwen3.5-397B-A17B and GPT-5.4 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-5.4 mini

Text
Images
Audio
Video

License

Usage and distribution terms

Qwen3.5-397B-A17B is licensed under Apache 2.0, while GPT-5.4 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-5.4 mini

Proprietary

Closed source

Release Timeline

When each model was launched

Qwen3.5-397B-A17B was released on 2026-02-16, while GPT-5.4 mini was released on 2026-03-17.

GPT-5.4 mini is 1 month newer than Qwen3.5-397B-A17B.

Qwen3.5-397B-A17B

Feb 16, 2026

2 months ago

GPT-5.4 mini

Mar 17, 2026

1 months ago

4w newer

Knowledge Cutoff

When training data ends

GPT-5.4 mini has a documented knowledge cutoff of 2025-08-31, while Qwen3.5-397B-A17B's cutoff date is not specified.

We can confirm GPT-5.4 mini's training data extends to 2025-08-31, but cannot make a direct comparison without Qwen3.5-397B-A17B's cutoff date.

Qwen3.5-397B-A17B

—

GPT-5.4 mini

Aug 2025

Provider Availability

Qwen3.5-397B-A17B is available from Novita. GPT-5.4 mini is available from OpenAI.

Qwen3.5-397B-A17B

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

GPT-5.4 mini

openai logo
OpenAI
Input Price:Input: $0.75/1MOutput Price:Output: $4.50/1M
* 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 88.0%)
Higher Humanity's Last Exam score (28.7% vs 28.2%)
OpenAI
Larger context window (400,000 tokens)
Higher Terminal-Bench 2.0 score (60.0% vs 52.5%)
Higher Toolathlon score (42.9% vs 38.3%)

Detailed Comparison

AI Model Comparison Table
Feature
Alibaba Cloud / Qwen Team
Qwen3.5-397B-A17B
OpenAI
GPT-5.4 mini

FAQ

Common questions about Qwen3.5-397B-A17B vs GPT-5.4 mini

Both models are evenly matched across the benchmarks. Qwen3.5-397B-A17B is made by Alibaba Cloud / Qwen Team and GPT-5.4 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-5.4 mini scores Tau2 Telecom: 93.4%, GPQA: 88.0%, OmniDocBench 1.5: 87.4%, MMMU-Pro: 76.6%, Graphwalks BFS <128k: 76.3%.
Qwen3.5-397B-A17B is 1.3x cheaper for input tokens. Qwen3.5-397B-A17B costs $0.60/M input and $3.60/M output via novita. GPT-5.4 mini costs $0.75/M input and $4.50/M output via openai.
Qwen3.5-397B-A17B supports 262K tokens and GPT-5.4 mini supports 400K tokens. A larger context window lets you process longer documents, conversations, or codebases in a single request.
Key differences include context window (262K vs 400K), input pricing ($0.60 vs $0.75/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-5.4 mini is developed by OpenAI.