Claude Opus 4.1 vs Qwen3.5-0.8B Comparison

Comparing Claude Opus 4.1 and Qwen3.5-0.8B across benchmarks, pricing, and capabilities.

Performance Benchmarks

Comparative analysis across standard metrics

2 benchmarks

Claude Opus 4.1 outperforms in 2 benchmarks (GPQA, MMMLU), while Qwen3.5-0.8B is better at 0 benchmarks.

Claude Opus 4.1 significantly outperforms across most benchmarks.

Sun Mar 15 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
Sun Mar 15 2026 • llm-stats.com
Anthropic
Claude Opus 4.1
Input tokens$15.00
Output tokens$75.00
Best providerAnthropic
Alibaba Cloud / Qwen Team
Qwen3.5-0.8B
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 Opus 4.1 specifies input context (200,000 tokens). Only Claude Opus 4.1 specifies output context (32,000 tokens).

Anthropic
Claude Opus 4.1
Input200,000 tokens
Output32,000 tokens
Alibaba Cloud / Qwen Team
Qwen3.5-0.8B
Input- tokens
Output- tokens
Sun Mar 15 2026 • llm-stats.com

Input Capabilities

Supported data types and modalities

Both Claude Opus 4.1 and Qwen3.5-0.8B support multimodal inputs.

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

Claude Opus 4.1

Text
Images
Audio
Video

Qwen3.5-0.8B

Text
Images
Audio
Video

License

Usage and distribution terms

Claude Opus 4.1 is licensed under a proprietary license, while Qwen3.5-0.8B uses Apache 2.0.

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

Claude Opus 4.1

Proprietary

Closed source

Qwen3.5-0.8B

Apache 2.0

Open weights

Release Timeline

When each model was launched

Claude Opus 4.1 was released on 2025-08-05, while Qwen3.5-0.8B was released on 2026-03-02.

Qwen3.5-0.8B is 7 months newer than Claude Opus 4.1.

Claude Opus 4.1

Aug 5, 2025

7 months ago

Qwen3.5-0.8B

Mar 2, 2026

1 weeks ago

6mo 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 GPQA score (80.9% vs 11.9%)
Higher MMMLU score (89.5% vs 44.3%)
Alibaba Cloud / Qwen Team

Qwen3.5-0.8B

View details

Alibaba Cloud / Qwen Team

Has open weights

Detailed Comparison

AI Model Comparison Table
Feature
Anthropic
Claude Opus 4.1
Alibaba Cloud / Qwen Team
Qwen3.5-0.8B