GPT-5.4 vs Qwen3.5-27B Comparison

Comparing GPT-5.4 and Qwen3.5-27B across benchmarks, pricing, and capabilities.

Performance Benchmarks

Comparative analysis across standard metrics

7 benchmarks

GPT-5.4 outperforms in 6 benchmarks (BrowseComp, GPQA, MMMU-Pro, OmniDocBench 1.5, OSWorld-Verified, Terminal-Bench 2.0), while Qwen3.5-27B is better at 1 benchmark (Humanity's Last Exam).

GPT-5.4 significantly outperforms across most benchmarks.

Tue Mar 17 2026 • llm-stats.com

Arena Performance

Human preference votes

Pricing Analysis

Price comparison per million tokens

Cost data unavailable.

Lowest available price from all providers
Tue Mar 17 2026 • llm-stats.com
OpenAI
GPT-5.4
Input tokens$2.50
Output tokens$15.00
Best providerOpenAI
Alibaba Cloud / Qwen Team
Qwen3.5-27B
Input tokens$0.00
Output tokens$0.00
Best providerUnknown Organization
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Context Window

Maximum input and output token capacity

Only GPT-5.4 specifies input context (1,000,000 tokens). Only GPT-5.4 specifies output context (128,000 tokens).

OpenAI
GPT-5.4
Input1,000,000 tokens
Output128,000 tokens
Alibaba Cloud / Qwen Team
Qwen3.5-27B
Input- tokens
Output- tokens
Tue Mar 17 2026 • llm-stats.com

Input Capabilities

Supported data types and modalities

Both GPT-5.4 and Qwen3.5-27B support multimodal inputs.

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

GPT-5.4

Text
Images
Audio
Video

Qwen3.5-27B

Text
Images
Audio
Video

License

Usage and distribution terms

GPT-5.4 is licensed under a proprietary license, while Qwen3.5-27B uses Apache 2.0.

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

GPT-5.4

Proprietary

Closed source

Qwen3.5-27B

Apache 2.0

Open weights

Release Timeline

When each model was launched

GPT-5.4 was released on 2026-03-05, while Qwen3.5-27B was released on 2026-02-24.

GPT-5.4 is 0 month newer than Qwen3.5-27B.

GPT-5.4

Mar 5, 2026

1 weeks ago

1w newer
Qwen3.5-27B

Feb 24, 2026

3 weeks ago

Knowledge Cutoff

When training data ends

Neither model specifies a knowledge cutoff date.

Unable to compare the recency of their training data.

No cutoff dates available

Outputs Comparison

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Key Takeaways

Larger context window (1,000,000 tokens)
Higher BrowseComp score (82.7% vs 61.0%)
Higher GPQA score (92.8% vs 85.5%)
Higher MMMU-Pro score (81.2% vs 75.0%)
Higher OmniDocBench 1.5 score (89.1% vs 88.9%)
Higher OSWorld-Verified score (75.0% vs 56.2%)
Higher Terminal-Bench 2.0 score (75.1% vs 41.6%)
Alibaba Cloud / Qwen Team

Qwen3.5-27B

View details

Alibaba Cloud / Qwen Team

Has open weights
Higher Humanity's Last Exam score (48.5% vs 39.8%)

Detailed Comparison

AI Model Comparison Table
Feature
OpenAI
GPT-5.4
Alibaba Cloud / Qwen Team
Qwen3.5-27B