GPT-4o vs Qwen3.5-35B-A3B Comparison

Comparing GPT-4o and Qwen3.5-35B-A3B across benchmarks, pricing, and capabilities.

Performance Benchmarks

Comparative analysis across standard metrics

12 benchmarks

GPT-4o outperforms in 1 benchmarks (AI2D), while Qwen3.5-35B-A3B is better at 11 benchmarks (CharXiv-R, ERQA, GPQA, Humanity's Last Exam, IFEval, MMLU-Pro, MMMLU, MMMU, MMMU-Pro, SWE-Bench Verified, VideoMMMU).

Qwen3.5-35B-A3B significantly outperforms across most benchmarks.

Sat Mar 14 2026 • llm-stats.com

Arena Performance

Human preference votes

Pricing Analysis

Price comparison per million tokens

Qwen3.5-35B-A3B costs less

For input processing, GPT-4o ($2.50/1M tokens) is 10.0x more expensive than Qwen3.5-35B-A3B ($0.25/1M tokens).

For output processing, GPT-4o ($10.00/1M tokens) is 5.0x more expensive than Qwen3.5-35B-A3B ($2.00/1M tokens).

In conclusion, GPT-4o is more expensive than Qwen3.5-35B-A3B.*

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

Lowest available price from all providers
Sat Mar 14 2026 • llm-stats.com
OpenAI
GPT-4o
Input tokens$2.50
Output tokens$10.00
Best providerAzure
Alibaba Cloud / Qwen Team
Qwen3.5-35B-A3B
Input tokens$0.25
Output tokens$2.00
Best providerNovita
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Context Window

Maximum input and output token capacity

Qwen3.5-35B-A3B accepts 262,144 input tokens compared to GPT-4o's 128,000 tokens. Qwen3.5-35B-A3B can generate longer responses up to 65,000 tokens, while GPT-4o is limited to 16,384 tokens.

OpenAI
GPT-4o
Input128,000 tokens
Output16,384 tokens
Alibaba Cloud / Qwen Team
Qwen3.5-35B-A3B
Input262,144 tokens
Output65,000 tokens
Sat Mar 14 2026 • llm-stats.com

Input Capabilities

Supported data types and modalities

Both GPT-4o and Qwen3.5-35B-A3B support multimodal inputs.

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

GPT-4o

Text
Images
Audio
Video

Qwen3.5-35B-A3B

Text
Images
Audio
Video

License

Usage and distribution terms

GPT-4o is licensed under a proprietary license, while Qwen3.5-35B-A3B uses Apache 2.0.

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

GPT-4o

Proprietary

Closed source

Qwen3.5-35B-A3B

Apache 2.0

Open weights

Release Timeline

When each model was launched

GPT-4o was released on 2024-08-06, while Qwen3.5-35B-A3B was released on 2026-02-24.

Qwen3.5-35B-A3B is 19 months newer than GPT-4o.

GPT-4o

Aug 6, 2024

1.6 years ago

Qwen3.5-35B-A3B

Feb 24, 2026

2 weeks ago

1.6yr newer

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

Provider Availability

GPT-4o is available from Azure, OpenAI. Qwen3.5-35B-A3B is available from Novita. The availability of providers can affect quality of the model and reliability.

GPT-4o

azure logo
Azure
Input Price:Input: $2.50/1MOutput Price:Output: $10.00/1M
openai logo
OpenAI
Input Price:Input: $2.50/1MOutput Price:Output: $10.00/1M

Qwen3.5-35B-A3B

novita logo
Novita
Input Price:Input: $0.25/1MOutput Price:Output: $2.00/1M
* Prices shown are per million tokens

Outputs Comparison

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Key Takeaways

Higher AI2D score (94.2% vs 92.6%)
Alibaba Cloud / Qwen Team

Qwen3.5-35B-A3B

View details

Alibaba Cloud / Qwen Team

Larger context window (262,144 tokens)
Less expensive input tokens
Less expensive output tokens
Has open weights
Higher CharXiv-R score (77.5% vs 58.8%)
Higher ERQA score (64.8% vs 35.2%)
Higher GPQA score (84.2% vs 70.1%)
Higher Humanity's Last Exam score (47.4% vs 5.3%)
Higher IFEval score (91.9% vs 81.0%)
Higher MMLU-Pro score (85.3% vs 74.7%)
Higher MMMLU score (85.2% vs 81.4%)
Higher MMMU score (81.4% vs 72.2%)
Higher MMMU-Pro score (75.1% vs 59.9%)
Higher SWE-Bench Verified score (69.2% vs 33.2%)
Higher VideoMMMU score (80.4% vs 61.2%)

Detailed Comparison

AI Model Comparison Table
Feature
OpenAI
GPT-4o
Alibaba Cloud / Qwen Team
Qwen3.5-35B-A3B