DeepSeek-V3.2-Exp vs Phi-3.5-mini-instruct Comparison

Comparing DeepSeek-V3.2-Exp and Phi-3.5-mini-instruct across benchmarks, pricing, and capabilities.

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Performance Benchmarks

Comparative analysis across standard metrics

2 benchmarks

DeepSeek-V3.2-Exp outperforms in 2 benchmarks (GPQA, MMLU-Pro), while Phi-3.5-mini-instruct is better at 0 benchmarks.

DeepSeek-V3.2-Exp significantly outperforms across most benchmarks.

Mon Mar 16 2026 • llm-stats.com

Arena Performance

Human preference votes

Pricing Analysis

Price comparison per million tokens

Phi-3.5-mini-instruct costs less

For input processing, DeepSeek-V3.2-Exp ($0.27/1M tokens) is 2.7x more expensive than Phi-3.5-mini-instruct ($0.10/1M tokens).

For output processing, DeepSeek-V3.2-Exp ($0.41/1M tokens) is 4.1x more expensive than Phi-3.5-mini-instruct ($0.10/1M tokens).

In conclusion, DeepSeek-V3.2-Exp is more expensive than Phi-3.5-mini-instruct.*

* Using a 3:1 ratio of input to output tokens

Lowest available price from all providers

Mon Mar 16 2026 • llm-stats.com

DeepSeek-V3.2-Exp

Input tokens$0.27

Output tokens$0.41

Best providerNovita

Phi-3.5-mini-instruct

Input tokens$0.10

Output tokens$0.10

Best providerAzure

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Model Size

Parameter count comparison

681.2B diff

DeepSeek-V3.2-Exp has 681.2B more parameters than Phi-3.5-mini-instruct, making it 17926.3% larger.

DeepSeek-V3.2-Exp

685.0Bparameters

Phi-3.5-mini-instruct

3.8Bparameters

685.0B

DeepSeek-V3.2-Exp

3.8B

Phi-3.5-mini-instruct

Context Window

Maximum input and output token capacity

DeepSeek-V3.2-Exp accepts 163,840 input tokens compared to Phi-3.5-mini-instruct's 128,000 tokens. Phi-3.5-mini-instruct can generate longer responses up to 128,000 tokens, while DeepSeek-V3.2-Exp is limited to 65,536 tokens.

DeepSeek-V3.2-Exp

Input163,840 tokens

Output65,536 tokens

Phi-3.5-mini-instruct

Input128,000 tokens

Output128,000 tokens

Mon Mar 16 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-V3.2-Exp

MIT

Open weights

Phi-3.5-mini-instruct

MIT

Open weights

Release Timeline

When each model was launched

DeepSeek-V3.2-Exp was released on 2025-09-29, while Phi-3.5-mini-instruct was released on 2024-08-23.

DeepSeek-V3.2-Exp is 13 months newer than Phi-3.5-mini-instruct.

DeepSeek-V3.2-Exp

Sep 29, 2025

5 months ago

1.1yr newer

Phi-3.5-mini-instruct

Aug 23, 2024

1.6 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

Provider Availability

DeepSeek-V3.2-Exp is available from Novita. Phi-3.5-mini-instruct is available from Azure. The availability of providers can affect quality of the model and reliability.