Qwen3.5-397B-A17B vs GPT-5.4 nano Comparison

Comparing Qwen3.5-397B-A17B and GPT-5.4 nano across benchmarks, pricing, and capabilities.

Performance Benchmarks

Comparative analysis across standard metrics

4 benchmarks

Qwen3.5-397B-A17B outperforms in 4 benchmarks (GPQA, Humanity's Last Exam, Terminal-Bench 2.0, Toolathlon), while GPT-5.4 nano is better at 0 benchmarks.

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

Wed Mar 18 2026 • llm-stats.com

Arena Performance

Human preference votes

Pricing Analysis

Price comparison per million tokens

GPT-5.4 nano costs less

For input processing, Qwen3.5-397B-A17B ($0.60/1M tokens) is 3.0x more expensive than GPT-5.4 nano ($0.20/1M tokens).

For output processing, Qwen3.5-397B-A17B ($3.60/1M tokens) is 2.9x more expensive than GPT-5.4 nano ($1.25/1M tokens).

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

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

Lowest available price from all providers
Wed Mar 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-5.4 nano
Input tokens$0.20
Output tokens$1.25
Best providerOpenAI
Notice missing or incorrect data?Start an Issue

Context Window

Maximum input and output token capacity

GPT-5.4 nano accepts 400,000 input tokens compared to Qwen3.5-397B-A17B's 262,144 tokens. GPT-5.4 nano 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 nano
Input400,000 tokens
Output128,000 tokens
Wed Mar 18 2026 • llm-stats.com

Input Capabilities

Supported data types and modalities

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

Text
Images
Audio
Video

License

Usage and distribution terms

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

Proprietary

Closed source

Release Timeline

When each model was launched

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

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

Qwen3.5-397B-A17B

Feb 16, 2026

1 months ago

GPT-5.4 nano

Mar 17, 2026

1 days ago

4w newer

Knowledge Cutoff

When training data ends

GPT-5.4 nano 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 nano'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 nano

Aug 2025

Provider Availability

Qwen3.5-397B-A17B is available from Novita. GPT-5.4 nano is available from OpenAI. The availability of providers can affect quality of the model and reliability.

Qwen3.5-397B-A17B

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

GPT-5.4 nano

openai logo
OpenAI
Input Price:Input: $0.20/1MOutput Price:Output: $1.25/1M
* Prices shown are per million tokens

Outputs Comparison

Notice missing or incorrect data?Start an Issue discussion

Key Takeaways

Alibaba Cloud / Qwen Team

Qwen3.5-397B-A17B

View details

Alibaba Cloud / Qwen Team

Has open weights
Higher GPQA score (88.4% vs 82.8%)
Higher Humanity's Last Exam score (28.7% vs 24.3%)
Higher Terminal-Bench 2.0 score (52.5% vs 46.3%)
Higher Toolathlon score (38.3% vs 35.5%)
Larger context window (400,000 tokens)
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-5.4 nano