Model Comparison

DeepSeek-R1 vs Phi-3.5-MoE-instruct

Comparing DeepSeek-R1 and Phi-3.5-MoE-instruct across benchmarks, pricing, and capabilities.

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Performance Benchmarks

Comparative analysis across standard metrics

No common benchmarks found

DeepSeek-R1 and Phi-3.5-MoE-instruct don't have any common benchmark datasets to compare. They may have been evaluated on different testing suites.

Arena Performance

Human preference votes

Model Size

Parameter count comparison

611.0B diff

DeepSeek-R1 has 611.0B more parameters than Phi-3.5-MoE-instruct, making it 1018.3% larger.

DeepSeek
DeepSeek-R1
671.0Bparameters
Microsoft
Phi-3.5-MoE-instruct
60.0Bparameters
671.0B
DeepSeek-R1
60.0B
Phi-3.5-MoE-instruct

Context Window

Maximum input and output token capacity

Only DeepSeek-R1 specifies input context (131,072 tokens). Only DeepSeek-R1 specifies output context (131,072 tokens).

DeepSeek
DeepSeek-R1
Input131,072 tokens
Output131,072 tokens
Microsoft
Phi-3.5-MoE-instruct
Input- tokens
Output- tokens
Mon May 25 2026 • llm-stats.com

License

Usage and distribution terms

Both models are licensed under MIT.

Both models share the same licensing terms, providing consistent usage rights.

DeepSeek-R1

MIT

Open weights

Phi-3.5-MoE-instruct

MIT

Open weights

Release Timeline

When each model was launched

DeepSeek-R1 was released on 2025-01-20, while Phi-3.5-MoE-instruct was released on 2024-08-23.

DeepSeek-R1 is 5 months newer than Phi-3.5-MoE-instruct.

DeepSeek-R1

Jan 20, 2025

1.3 years ago

5mo newer
Phi-3.5-MoE-instruct

Aug 23, 2024

1.8 years 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

DeepSeek
Larger context window (131,072 tokens)
Microsoft

No standout differentiators in the data we have for this pair.

Detailed Comparison

AI Model Comparison Table
Feature
DeepSeek
DeepSeek-R1
Microsoft
Phi-3.5-MoE-instruct

FAQ

Common questions about DeepSeek-R1 vs Phi-3.5-MoE-instruct.

Which is better, DeepSeek-R1 or Phi-3.5-MoE-instruct?

DeepSeek-R1 (DeepSeek) and Phi-3.5-MoE-instruct (Microsoft) each have strengths in different areas. Compare their benchmark scores, pricing, context windows, and capabilities above to determine which fits your needs.

How does DeepSeek-R1 compare to Phi-3.5-MoE-instruct in benchmarks?

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 DeepSeek-R1 and Phi-3.5-MoE-instruct?

DeepSeek-R1 supports 131K 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.

Who makes DeepSeek-R1 and Phi-3.5-MoE-instruct?

DeepSeek-R1 is developed by DeepSeek and Phi-3.5-MoE-instruct is developed by Microsoft.