Model Comparison

Claude 3 Sonnet vs Phi-3.5-MoE-instruct

Claude 3 Sonnet significantly outperforms across most benchmarks.

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Performance Benchmarks

Comparative analysis across standard metrics

10 benchmarks

Claude 3 Sonnet outperforms in 9 benchmarks (ARC-C, BIG-Bench Hard, GPQA, GSM8k, HellaSwag, HumanEval, MGSM, MMLU, MMLU-Pro), while Phi-3.5-MoE-instruct is better at 1 benchmark (MATH).

Claude 3 Sonnet significantly outperforms across most benchmarks.

Tue May 26 2026 • llm-stats.com

Arena Performance

Human preference votes

Context Window

Maximum input and output token capacity

Only Claude 3 Sonnet specifies input context (200,000 tokens). Only Claude 3 Sonnet specifies output context (200,000 tokens).

Anthropic
Claude 3 Sonnet
Input200,000 tokens
Output200,000 tokens
Microsoft
Phi-3.5-MoE-instruct
Input- tokens
Output- tokens
Tue May 26 2026 • llm-stats.com

Input Capabilities

Supported data types and modalities

Claude 3 Sonnet supports multimodal inputs, whereas Phi-3.5-MoE-instruct does not.

Claude 3 Sonnet can handle both text and other forms of data like images, making it suitable for multimodal applications.

Claude 3 Sonnet

Text
Images
Audio
Video

Phi-3.5-MoE-instruct

Text
Images
Audio
Video

License

Usage and distribution terms

Claude 3 Sonnet is licensed under a proprietary license, while Phi-3.5-MoE-instruct uses MIT.

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

Claude 3 Sonnet

Proprietary

Closed source

Phi-3.5-MoE-instruct

MIT

Open weights

Release Timeline

When each model was launched

Claude 3 Sonnet was released on 2024-02-29, while Phi-3.5-MoE-instruct was released on 2024-08-23.

Phi-3.5-MoE-instruct is 6 months newer than Claude 3 Sonnet.

Claude 3 Sonnet

Feb 29, 2024

2.2 years ago

Phi-3.5-MoE-instruct

Aug 23, 2024

1.8 years ago

5mo 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

Anthropic
Larger context window (200,000 tokens)
Supports multimodal inputs
Higher ARC-C score (93.2% vs 91.0%)
Higher BIG-Bench Hard score (82.9% vs 79.1%)
Higher GPQA score (40.4% vs 36.8%)
Higher GSM8k score (92.3% vs 88.7%)
Higher HellaSwag score (89.0% vs 83.8%)
Higher HumanEval score (73.0% vs 70.7%)
Higher MGSM score (83.5% vs 58.7%)
Higher MMLU score (79.0% vs 78.9%)
Higher MMLU-Pro score (56.8% vs 45.3%)
Microsoft
Has open weights
Higher MATH score (59.5% vs 43.1%)

Detailed Comparison

AI Model Comparison Table
Feature
Anthropic
Claude 3 Sonnet
Microsoft
Phi-3.5-MoE-instruct

FAQ

Common questions about Claude 3 Sonnet vs Phi-3.5-MoE-instruct.

Which is better, Claude 3 Sonnet or Phi-3.5-MoE-instruct?

Claude 3 Sonnet significantly outperforms across most benchmarks. Claude 3 Sonnet is made by Anthropic and Phi-3.5-MoE-instruct is made by Microsoft. The best choice depends on your use case — compare their benchmark scores, pricing, and capabilities above.

How does Claude 3 Sonnet compare to Phi-3.5-MoE-instruct in benchmarks?

Claude 3 Sonnet scores ARC-C: 93.2%, GSM8k: 92.3%, HellaSwag: 89.0%, MGSM: 83.5%, BIG-Bench Hard: 82.9%. Phi-3.5-MoE-instruct scores ARC-C: 91.0%, OpenBookQA: 89.6%, GSM8k: 88.7%, PIQA: 88.6%, RULER: 87.1%.

What are the context window sizes for Claude 3 Sonnet and Phi-3.5-MoE-instruct?

Claude 3 Sonnet supports 200K tokens and Phi-3.5-MoE-instruct supports an unknown number of tokens. A larger context window lets you process longer documents, conversations, or codebases in a single request.

What are the main differences between Claude 3 Sonnet and Phi-3.5-MoE-instruct?

Key differences include multimodal support (yes vs no), licensing (Proprietary vs MIT). See the full comparison above for benchmark-by-benchmark results.

Who makes Claude 3 Sonnet and Phi-3.5-MoE-instruct?

Claude 3 Sonnet is developed by Anthropic and Phi-3.5-MoE-instruct is developed by Microsoft.