Model Comparison

DeepSeek-V2.5 vs Phi-3.5-MoE-instructWhich is better in 2026?

DeepSeek-V2.5 significantly outperforms across most benchmarks.

Verdict: DeepSeek-V2.5 vs Phi-3.5-MoE-instruct — which is better?

DeepSeek-V2.5 (by DeepSeek) and Phi-3.5-MoE-instruct (by Microsoft) are two of the AI models people compare most. Here is how they stack up on benchmarks, price and capabilities, and which one to pick in 2026.

DeepSeek-V2.5 outperforms in 5 benchmarks (Arena Hard, GSM8k, HumanEval, MATH, MMLU), while Phi-3.5-MoE-instruct is better at 0 benchmarks. DeepSeek-V2.5 significantly outperforms across most benchmarks.

Choose DeepSeek-V2.5 if…

  • you want the strongest raw capability — it leads on 5 of 5 shared benchmarks

Choose Phi-3.5-MoE-instruct if…

  • you want the most recent training data — it shipped Aug 2024
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Performance Benchmarks

Comparative analysis across standard metrics

5 benchmarks

DeepSeek-V2.5 outperforms in 5 benchmarks (Arena Hard, GSM8k, HumanEval, MATH, MMLU), while Phi-3.5-MoE-instruct is better at 0 benchmarks.

DeepSeek-V2.5 significantly outperforms across most benchmarks.

Sun Jun 07 2026 • llm-stats.com

Arena Performance

Human preference votes

Model Size

Parameter count comparison

176.0B diff

DeepSeek-V2.5 has 176.0B more parameters than Phi-3.5-MoE-instruct, making it 293.3% larger.

DeepSeek
DeepSeek-V2.5
236.0Bparameters
Microsoft
Phi-3.5-MoE-instruct
60.0Bparameters
236.0B
DeepSeek-V2.5
60.0B
Phi-3.5-MoE-instruct

Context Window

Maximum input and output token capacity

Only DeepSeek-V2.5 specifies input context (8,192 tokens). Only DeepSeek-V2.5 specifies output context (8,192 tokens).

DeepSeek
DeepSeek-V2.5
Input8,192 tokens
Output8,192 tokens
Microsoft
Phi-3.5-MoE-instruct
Input- tokens
Output- tokens
Sun Jun 07 2026 • llm-stats.com

License

Usage and distribution terms

DeepSeek-V2.5 is licensed under deepseek, while Phi-3.5-MoE-instruct uses MIT.

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

DeepSeek-V2.5

deepseek

Open weights

Phi-3.5-MoE-instruct

MIT

Open weights

Release Timeline

When each model was launched

DeepSeek-V2.5 was released on 2024-05-08, while Phi-3.5-MoE-instruct was released on 2024-08-23.

Phi-3.5-MoE-instruct is 4 months newer than DeepSeek-V2.5.

DeepSeek-V2.5

May 8, 2024

2.1 years ago

Phi-3.5-MoE-instruct

Aug 23, 2024

1.8 years ago

3mo 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

Notice missing or incorrect data?Start an Issue discussion→

Key Takeaways

DeepSeek
Larger context window (8,192 tokens)
Higher Arena Hard score (76.2% vs 37.9%)
Higher GSM8k score (95.1% vs 88.7%)
Higher HumanEval score (89.0% vs 70.7%)
Higher MATH score (74.7% vs 59.5%)
Higher MMLU score (80.4% vs 78.9%)
Microsoft

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

Detailed Comparison

AI Model Comparison Table
Feature
DeepSeek
DeepSeek-V2.5
Microsoft
Phi-3.5-MoE-instruct

FAQ

Common questions about DeepSeek-V2.5 vs Phi-3.5-MoE-instruct.

Which is better, DeepSeek-V2.5 or Phi-3.5-MoE-instruct?

DeepSeek-V2.5 significantly outperforms across most benchmarks. DeepSeek-V2.5 is made by DeepSeek 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 DeepSeek-V2.5 compare to Phi-3.5-MoE-instruct in benchmarks?

DeepSeek-V2.5 scores GSM8k: 95.1%, MT-Bench: 90.2%, HumanEval: 89.0%, BBH: 84.3%, AlignBench: 80.4%. 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-V2.5 and Phi-3.5-MoE-instruct?

DeepSeek-V2.5 supports 8K 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 DeepSeek-V2.5 and Phi-3.5-MoE-instruct?

Key differences include licensing (deepseek vs MIT). See the full comparison above for benchmark-by-benchmark results.

Who makes DeepSeek-V2.5 and Phi-3.5-MoE-instruct?

DeepSeek-V2.5 is developed by DeepSeek and Phi-3.5-MoE-instruct is developed by Microsoft.

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