Claude Sonnet 4 vs Qwen3.5-9B Comparison

Comparing Claude Sonnet 4 and Qwen3.5-9B across benchmarks, pricing, and capabilities.

Performance Benchmarks

Comparative analysis across standard metrics

2 benchmarks

Claude Sonnet 4 outperforms in 1 benchmarks (MMMLU), while Qwen3.5-9B is better at 1 benchmark (GPQA).

Both models are evenly matched across the 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
Anthropic
Claude Sonnet 4
Input tokens$3.00
Output tokens$15.00
Best providerAnthropic
Alibaba Cloud / Qwen Team
Qwen3.5-9B
Input tokens$0.00
Output tokens$0.00
Best providerUnknown Organization
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Context Window

Maximum input and output token capacity

Only Claude Sonnet 4 specifies input context (200,000 tokens). Only Claude Sonnet 4 specifies output context (64,000 tokens).

Anthropic
Claude Sonnet 4
Input200,000 tokens
Output64,000 tokens
Alibaba Cloud / Qwen Team
Qwen3.5-9B
Input- tokens
Output- tokens
Tue Mar 17 2026 • llm-stats.com

Input Capabilities

Supported data types and modalities

Both Claude Sonnet 4 and Qwen3.5-9B support multimodal inputs.

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

Claude Sonnet 4

Text
Images
Audio
Video

Qwen3.5-9B

Text
Images
Audio
Video

License

Usage and distribution terms

Claude Sonnet 4 is licensed under a proprietary license, while Qwen3.5-9B uses Apache 2.0.

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

Claude Sonnet 4

Proprietary

Closed source

Qwen3.5-9B

Apache 2.0

Open weights

Release Timeline

When each model was launched

Claude Sonnet 4 was released on 2025-05-22, while Qwen3.5-9B was released on 2026-03-02.

Qwen3.5-9B is 9 months newer than Claude Sonnet 4.

Claude Sonnet 4

May 22, 2025

9 months ago

Qwen3.5-9B

Mar 2, 2026

2 weeks ago

9mo 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

Outputs Comparison

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Key Takeaways

Larger context window (200,000 tokens)
Higher MMMLU score (86.5% vs 81.2%)
Alibaba Cloud / Qwen Team

Qwen3.5-9B

View details

Alibaba Cloud / Qwen Team

Has open weights
Higher GPQA score (81.7% vs 75.4%)
AnthropicClaude Sonnet 4
Alibaba Cloud / Qwen TeamQwen3.5-9B

Detailed Comparison

AI Model Comparison Table
Feature
Anthropic
Claude Sonnet 4
Alibaba Cloud / Qwen Team
Qwen3.5-9B